essay about research problems

45 Research Problem Examples & Inspiration

Chris Drew (PhD)

Dr. Chris Drew is the founder of the Helpful Professor. He holds a PhD in education and has published over 20 articles in scholarly journals. He is the former editor of the Journal of Learning Development in Higher Education. [Image Descriptor: Photo of Chris]

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research problems examples and definition, explained below

A research problem is an issue of concern that is the catalyst for your research. It demonstrates why the research problem needs to take place in the first place.

Generally, you will write your research problem as a clear, concise, and focused statement that identifies an issue or gap in current knowledge that requires investigation.

The problem will likely also guide the direction and purpose of a study. Depending on the problem, you will identify a suitable methodology that will help address the problem and bring solutions to light.

Research Problem Examples

In the following examples, I’ll present some problems worth addressing, and some suggested theoretical frameworks and research methodologies that might fit with the study. Note, however, that these aren’t the only ways to approach the problems. Keep an open mind and consult with your dissertation supervisor!

Psychology Problems

1. Social Media and Self-Esteem: “How does prolonged exposure to social media platforms influence the self-esteem of adolescents?”

Theoretical Framework : Social Comparison Theory
Methodology : Longitudinal study tracking adolescents’ social media usage and self-esteem measures over time, combined with qualitative interviews.

2. Sleep and Cognitive Performance: “How does sleep quality and duration impact cognitive performance in adults?”

Theoretical Framework : Cognitive Psychology
Methodology : Experimental design with controlled sleep conditions, followed by cognitive tests. Participant sleep patterns can also be monitored using actigraphy.

3. Childhood Trauma and Adult Relationships: “How does unresolved childhood trauma influence attachment styles and relationship dynamics in adulthood?

Theoretical Framework : Attachment Theory
Methodology : Mixed methods, combining quantitative measures of attachment styles with qualitative in-depth interviews exploring past trauma and current relationship dynamics.

4. Mindfulness and Stress Reduction: “How effective is mindfulness meditation in reducing perceived stress and physiological markers of stress in working professionals?”

Theoretical Framework : Humanist Psychology
Methodology : Randomized controlled trial comparing a group practicing mindfulness meditation to a control group, measuring both self-reported stress and physiological markers (e.g., cortisol levels).

5. Implicit Bias and Decision Making: “To what extent do implicit biases influence decision-making processes in hiring practices?

Theoretical Framework : Cognitive Dissonance Theory
Methodology : Experimental design using Implicit Association Tests (IAT) to measure implicit biases, followed by simulated hiring tasks to observe decision-making behaviors.

6. Emotional Regulation and Academic Performance: “How does the ability to regulate emotions impact academic performance in college students?”

Theoretical Framework : Cognitive Theory of Emotion
Methodology : Quantitative surveys measuring emotional regulation strategies, combined with academic performance metrics (e.g., GPA).

7. Nature Exposure and Mental Well-being: “Does regular exposure to natural environments improve mental well-being and reduce symptoms of anxiety and depression?”

Theoretical Framework : Biophilia Hypothesis
Methodology : Longitudinal study comparing mental health measures of individuals with regular nature exposure to those without, possibly using ecological momentary assessment for real-time data collection.

8. Video Games and Cognitive Skills: “How do action video games influence cognitive skills such as attention, spatial reasoning, and problem-solving?”

Theoretical Framework : Cognitive Load Theory
Methodology : Experimental design with pre- and post-tests, comparing cognitive skills of participants before and after a period of action video game play.

9. Parenting Styles and Child Resilience: “How do different parenting styles influence the development of resilience in children facing adversities?”

Theoretical Framework : Baumrind’s Parenting Styles Inventory
Methodology : Mixed methods, combining quantitative measures of resilience and parenting styles with qualitative interviews exploring children’s experiences and perceptions.

10. Memory and Aging: “How does the aging process impact episodic memory , and what strategies can mitigate age-related memory decline?

Theoretical Framework : Information Processing Theory
Methodology : Cross-sectional study comparing episodic memory performance across different age groups, combined with interventions like memory training or mnemonic strategies to assess potential improvements.

Education Problems

11. Equity and Access : “How do socioeconomic factors influence students’ access to quality education, and what interventions can bridge the gap?

Theoretical Framework : Critical Pedagogy
Methodology : Mixed methods, combining quantitative data on student outcomes with qualitative interviews and focus groups with students, parents, and educators.

12. Digital Divide : How does the lack of access to technology and the internet affect remote learning outcomes, and how can this divide be addressed?

Theoretical Framework : Social Construction of Technology Theory
Methodology : Survey research to gather data on access to technology, followed by case studies in selected areas.

13. Teacher Efficacy : “What factors contribute to teacher self-efficacy, and how does it impact student achievement?”

Theoretical Framework : Bandura’s Self-Efficacy Theory
Methodology : Quantitative surveys to measure teacher self-efficacy, combined with qualitative interviews to explore factors affecting it.

14. Curriculum Relevance : “How can curricula be made more relevant to diverse student populations, incorporating cultural and local contexts?”

Theoretical Framework : Sociocultural Theory
Methodology : Content analysis of curricula, combined with focus groups with students and teachers.

15. Special Education : “What are the most effective instructional strategies for students with specific learning disabilities?

Theoretical Framework : Social Learning Theory
Methodology : Experimental design comparing different instructional strategies, with pre- and post-tests to measure student achievement.

16. Dropout Rates : “What factors contribute to high school dropout rates, and what interventions can help retain students?”

Methodology : Longitudinal study tracking students over time, combined with interviews with dropouts.

17. Bilingual Education : “How does bilingual education impact cognitive development and academic achievement?

Methodology : Comparative study of students in bilingual vs. monolingual programs, using standardized tests and qualitative interviews.

18. Classroom Management: “What reward strategies are most effective in managing diverse classrooms and promoting a positive learning environment?

Theoretical Framework : Behaviorism (e.g., Skinner’s Operant Conditioning)
Methodology : Observational research in classrooms , combined with teacher interviews.

19. Standardized Testing : “How do standardized tests affect student motivation, learning, and curriculum design?”

Theoretical Framework : Critical Theory
Methodology : Quantitative analysis of test scores and student outcomes, combined with qualitative interviews with educators and students.

20. STEM Education : “What methods can be employed to increase interest and proficiency in STEM (Science, Technology, Engineering, and Mathematics) fields among underrepresented student groups?”

Theoretical Framework : Constructivist Learning Theory
Methodology : Experimental design comparing different instructional methods, with pre- and post-tests.

21. Social-Emotional Learning : “How can social-emotional learning be effectively integrated into the curriculum, and what are its impacts on student well-being and academic outcomes?”

Theoretical Framework : Goleman’s Emotional Intelligence Theory
Methodology : Mixed methods, combining quantitative measures of student well-being with qualitative interviews.

22. Parental Involvement : “How does parental involvement influence student achievement, and what strategies can schools use to increase it?”

Theoretical Framework : Reggio Emilia’s Model (Community Engagement Focus)
Methodology : Survey research with parents and teachers, combined with case studies in selected schools.

23. Early Childhood Education : “What are the long-term impacts of quality early childhood education on academic and life outcomes?”

Theoretical Framework : Erikson’s Stages of Psychosocial Development
Methodology : Longitudinal study comparing students with and without early childhood education, combined with observational research.

24. Teacher Training and Professional Development : “How can teacher training programs be improved to address the evolving needs of the 21st-century classroom?”

Theoretical Framework : Adult Learning Theory (Andragogy)
Methodology : Pre- and post-assessments of teacher competencies, combined with focus groups.

25. Educational Technology : “How can technology be effectively integrated into the classroom to enhance learning, and what are the potential drawbacks or challenges?”

Theoretical Framework : Technological Pedagogical Content Knowledge (TPACK)
Methodology : Experimental design comparing classrooms with and without specific technologies, combined with teacher and student interviews.

Sociology Problems

26. Urbanization and Social Ties: “How does rapid urbanization impact the strength and nature of social ties in communities?”

Theoretical Framework : Structural Functionalism
Methodology : Mixed methods, combining quantitative surveys on social ties with qualitative interviews in urbanizing areas.

27. Gender Roles in Modern Families: “How have traditional gender roles evolved in families with dual-income households?”

Theoretical Framework : Gender Schema Theory
Methodology : Qualitative interviews with dual-income families, combined with historical data analysis.

28. Social Media and Collective Behavior: “How does social media influence collective behaviors and the formation of social movements?”

Theoretical Framework : Emergent Norm Theory
Methodology : Content analysis of social media platforms, combined with quantitative surveys on participation in social movements.

29. Education and Social Mobility: “To what extent does access to quality education influence social mobility in socioeconomically diverse settings?”

Methodology : Longitudinal study tracking educational access and subsequent socioeconomic status, combined with qualitative interviews.

30. Religion and Social Cohesion: “How do religious beliefs and practices contribute to social cohesion in multicultural societies?”

Methodology : Quantitative surveys on religious beliefs and perceptions of social cohesion, combined with ethnographic studies.

31. Consumer Culture and Identity Formation: “How does consumer culture influence individual identity formation and personal values?”

Theoretical Framework : Social Identity Theory
Methodology : Mixed methods, combining content analysis of advertising with qualitative interviews on identity and values.

32. Migration and Cultural Assimilation: “How do migrants negotiate cultural assimilation and preservation of their original cultural identities in their host countries?”

Theoretical Framework : Post-Structuralism
Methodology : Qualitative interviews with migrants, combined with observational studies in multicultural communities.

33. Social Networks and Mental Health: “How do social networks, both online and offline, impact mental health and well-being?”

Theoretical Framework : Social Network Theory
Methodology : Quantitative surveys assessing social network characteristics and mental health metrics, combined with qualitative interviews.

34. Crime, Deviance, and Social Control: “How do societal norms and values shape definitions of crime and deviance, and how are these definitions enforced?”

Theoretical Framework : Labeling Theory
Methodology : Content analysis of legal documents and media, combined with ethnographic studies in diverse communities.

35. Technology and Social Interaction: “How has the proliferation of digital technology influenced face-to-face social interactions and community building?”

Theoretical Framework : Technological Determinism
Methodology : Mixed methods, combining quantitative surveys on technology use with qualitative observations of social interactions in various settings.

Nursing Problems

36. Patient Communication and Recovery: “How does effective nurse-patient communication influence patient recovery rates and overall satisfaction with care?”

Methodology : Quantitative surveys assessing patient satisfaction and recovery metrics, combined with observational studies on nurse-patient interactions.

37. Stress Management in Nursing: “What are the primary sources of occupational stress for nurses, and how can they be effectively managed to prevent burnout?”

Methodology : Mixed methods, combining quantitative measures of stress and burnout with qualitative interviews exploring personal experiences and coping mechanisms.

38. Hand Hygiene Compliance: “How effective are different interventions in improving hand hygiene compliance among nursing staff, and what are the barriers to consistent hand hygiene?”

Methodology : Experimental design comparing hand hygiene rates before and after specific interventions, combined with focus groups to understand barriers.

39. Nurse-Patient Ratios and Patient Outcomes: “How do nurse-patient ratios impact patient outcomes, including recovery rates, complications, and hospital readmissions?”

Methodology : Quantitative study analyzing patient outcomes in relation to staffing levels, possibly using retrospective chart reviews.

40. Continuing Education and Clinical Competence: “How does regular continuing education influence clinical competence and confidence among nurses?”

Methodology : Longitudinal study tracking nurses’ clinical skills and confidence over time as they engage in continuing education, combined with patient outcome measures to assess potential impacts on care quality.

Communication Studies Problems

41. Media Representation and Public Perception: “How does media representation of minority groups influence public perceptions and biases?”

Theoretical Framework : Cultivation Theory
Methodology : Content analysis of media representations combined with quantitative surveys assessing public perceptions and attitudes.

42. Digital Communication and Relationship Building: “How has the rise of digital communication platforms impacted the way individuals build and maintain personal relationships?”

Theoretical Framework : Social Penetration Theory
Methodology : Mixed methods, combining quantitative surveys on digital communication habits with qualitative interviews exploring personal relationship dynamics.

43. Crisis Communication Effectiveness: “What strategies are most effective in managing public relations during organizational crises, and how do they influence public trust?”

Theoretical Framework : Situational Crisis Communication Theory (SCCT)
Methodology : Case study analysis of past organizational crises, assessing communication strategies used and subsequent public trust metrics.

44. Nonverbal Cues in Virtual Communication: “How do nonverbal cues, such as facial expressions and gestures, influence message interpretation in virtual communication platforms?”

Theoretical Framework : Social Semiotics
Methodology : Experimental design using video conferencing tools, analyzing participants’ interpretations of messages with varying nonverbal cues.

45. Influence of Social Media on Political Engagement: “How does exposure to political content on social media platforms influence individuals’ political engagement and activism?”

Theoretical Framework : Uses and Gratifications Theory
Methodology : Quantitative surveys assessing social media habits and political engagement levels, combined with content analysis of political posts on popular platforms.

Before you Go: Tips and Tricks for Writing a Research Problem

This is an incredibly stressful time for research students. The research problem is going to lock you into a specific line of inquiry for the rest of your studies.

So, here’s what I tend to suggest to my students:

Start with something you find intellectually stimulating – Too many students choose projects because they think it hasn’t been studies or they’ve found a research gap. Don’t over-estimate the importance of finding a research gap. There are gaps in every line of inquiry. For now, just find a topic you think you can really sink your teeth into and will enjoy learning about.
Take 5 ideas to your supervisor – Approach your research supervisor, professor, lecturer, TA, our course leader with 5 research problem ideas and run each by them. The supervisor will have valuable insights that you didn’t consider that will help you narrow-down and refine your problem even more.
Trust your supervisor – The supervisor-student relationship is often very strained and stressful. While of course this is your project, your supervisor knows the internal politics and conventions of academic research. The depth of knowledge about how to navigate academia and get you out the other end with your degree is invaluable. Don’t underestimate their advice.

I’ve got a full article on all my tips and tricks for doing research projects right here – I recommend reading it:

9 Tips on How to Choose a Dissertation Topic

Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 119 Bloom’s Taxonomy Examples
Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ All 6 Levels of Understanding (on Bloom’s Taxonomy)
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Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ Forest Schools Philosophy & Curriculum, Explained!

What is a Research Problem? Characteristics, Types, and Examples

A research problem is a gap in existing knowledge, a contradiction in an established theory, or a real-world challenge that a researcher aims to address in their research. It is at the heart of any scientific inquiry, directing the trajectory of an investigation. The statement of a problem orients the reader to the importance of the topic, sets the problem into a particular context, and defines the relevant parameters, providing the framework for reporting the findings. Therein lies the importance of research problem s.

The formulation of well-defined research questions is central to addressing a research problem . A research question is a statement made in a question form to provide focus, clarity, and structure to the research endeavor. This helps the researcher design methodologies, collect data, and analyze results in a systematic and coherent manner. A study may have one or more research questions depending on the nature of the study.

Identifying and addressing a research problem is very important. By starting with a pertinent problem , a scholar can contribute to the accumulation of evidence-based insights, solutions, and scientific progress, thereby advancing the frontier of research. Moreover, the process of formulating research problems and posing pertinent research questions cultivates critical thinking and hones problem-solving skills.

Table of Contents

What is a Research Problem ?

Before you conceive of your project, you need to ask yourself “ What is a research problem ?” A research problem definition can be broadly put forward as the primary statement of a knowledge gap or a fundamental challenge in a field, which forms the foundation for research. Conversely, the findings from a research investigation provide solutions to the problem .

A research problem guides the selection of approaches and methodologies, data collection, and interpretation of results to find answers or solutions. A well-defined problem determines the generation of valuable insights and contributions to the broader intellectual discourse.

Characteristics of a Research Problem

Knowing the characteristics of a research problem is instrumental in formulating a research inquiry; take a look at the five key characteristics below:

Novel : An ideal research problem introduces a fresh perspective, offering something new to the existing body of knowledge. It should contribute original insights and address unresolved matters or essential knowledge.

Significant : A problem should hold significance in terms of its potential impact on theory, practice, policy, or the understanding of a particular phenomenon. It should be relevant to the field of study, addressing a gap in knowledge, a practical concern, or a theoretical dilemma that holds significance.

Feasible: A practical research problem allows for the formulation of hypotheses and the design of research methodologies. A feasible research problem is one that can realistically be investigated given the available resources, time, and expertise. It should not be too broad or too narrow to explore effectively, and should be measurable in terms of its variables and outcomes. It should be amenable to investigation through empirical research methods, such as data collection and analysis, to arrive at meaningful conclusions A practical research problem considers budgetary and time constraints, as well as limitations of the problem . These limitations may arise due to constraints in methodology, resources, or the complexity of the problem.

Clear and specific : A well-defined research problem is clear and specific, leaving no room for ambiguity; it should be easily understandable and precisely articulated. Ensuring specificity in the problem ensures that it is focused, addresses a distinct aspect of the broader topic and is not vague.

Rooted in evidence: A good research problem leans on trustworthy evidence and data, while dismissing unverifiable information. It must also consider ethical guidelines, ensuring the well-being and rights of any individuals or groups involved in the study.

Types of Research Problems

Across fields and disciplines, there are different types of research problems . We can broadly categorize them into three types.

Theoretical research problems

Theoretical research problems deal with conceptual and intellectual inquiries that may not involve empirical data collection but instead seek to advance our understanding of complex concepts, theories, and phenomena within their respective disciplines. For example, in the social sciences, research problem s may be casuist (relating to the determination of right and wrong in questions of conduct or conscience), difference (comparing or contrasting two or more phenomena), descriptive (aims to describe a situation or state), or relational (investigating characteristics that are related in some way).

Here are some theoretical research problem examples :

Ethical frameworks that can provide coherent justifications for artificial intelligence and machine learning algorithms, especially in contexts involving autonomous decision-making and moral agency.
Determining how mathematical models can elucidate the gradual development of complex traits, such as intricate anatomical structures or elaborate behaviors, through successive generations.
Applied research problems

Applied or practical research problems focus on addressing real-world challenges and generating practical solutions to improve various aspects of society, technology, health, and the environment.

Here are some applied research problem examples :

Studying the use of precision agriculture techniques to optimize crop yield and minimize resource waste.
Designing a more energy-efficient and sustainable transportation system for a city to reduce carbon emissions.
Action research problems

Action research problems aim to create positive change within specific contexts by involving stakeholders, implementing interventions, and evaluating outcomes in a collaborative manner.

Here are some action research problem examples :

Partnering with healthcare professionals to identify barriers to patient adherence to medication regimens and devising interventions to address them.
Collaborating with a nonprofit organization to evaluate the effectiveness of their programs aimed at providing job training for underserved populations.

These different types of research problems may give you some ideas when you plan on developing your own.

How to Define a Research Problem

You might now ask “ How to define a research problem ?” These are the general steps to follow:

Look for a broad problem area: Identify under-explored aspects or areas of concern, or a controversy in your topic of interest. Evaluate the significance of addressing the problem in terms of its potential contribution to the field, practical applications, or theoretical insights.
Learn more about the problem: Read the literature, starting from historical aspects to the current status and latest updates. Rely on reputable evidence and data. Be sure to consult researchers who work in the relevant field, mentors, and peers. Do not ignore the gray literature on the subject.
Identify the relevant variables and how they are related: Consider which variables are most important to the study and will help answer the research question. Once this is done, you will need to determine the relationships between these variables and how these relationships affect the research problem .
Think of practical aspects : Deliberate on ways that your study can be practical and feasible in terms of time and resources. Discuss practical aspects with researchers in the field and be open to revising the problem based on feedback. Refine the scope of the research problem to make it manageable and specific; consider the resources available, time constraints, and feasibility.
Formulate the problem statement: Craft a concise problem statement that outlines the specific issue, its relevance, and why it needs further investigation.
Stick to plans, but be flexible: When defining the problem , plan ahead but adhere to your budget and timeline. At the same time, consider all possibilities and ensure that the problem and question can be modified if needed.

Key Takeaways

A research problem concerns an area of interest, a situation necessitating improvement, an obstacle requiring eradication, or a challenge in theory or practical applications.
The importance of research problem is that it guides the research and helps advance human understanding and the development of practical solutions.
Research problem definition begins with identifying a broad problem area, followed by learning more about the problem, identifying the variables and how they are related, considering practical aspects, and finally developing the problem statement.
Different types of research problems include theoretical, applied, and action research problems , and these depend on the discipline and nature of the study.
An ideal problem is original, important, feasible, specific, and based on evidence.

Frequently Asked Questions

Why is it important to define a research problem?

Identifying potential issues and gaps as research problems is important for choosing a relevant topic and for determining a well-defined course of one’s research. Pinpointing a problem and formulating research questions can help researchers build their critical thinking, curiosity, and problem-solving abilities.

How do I identify a research problem?

Identifying a research problem involves recognizing gaps in existing knowledge, exploring areas of uncertainty, and assessing the significance of addressing these gaps within a specific field of study. This process often involves thorough literature review, discussions with experts, and considering practical implications.

Can a research problem change during the research process?

Yes, a research problem can change during the research process. During the course of an investigation a researcher might discover new perspectives, complexities, or insights that prompt a reevaluation of the initial problem. The scope of the problem, unforeseen or unexpected issues, or other limitations might prompt some tweaks. You should be able to adjust the problem to ensure that the study remains relevant and aligned with the evolving understanding of the subject matter.

How does a research problem relate to research questions or hypotheses?

A research problem sets the stage for the study. Next, research questions refine the direction of investigation by breaking down the broader research problem into manageable components. Research questions are formulated based on the problem , guiding the investigation’s scope and objectives. The hypothesis provides a testable statement to validate or refute within the research process. All three elements are interconnected and work together to guide the research.

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Home » Research Problem – Examples, Types and Guide

Research Problem – Examples, Types and Guide

Table of Contents

Research Problem

Definition:

Research problem is a specific and well-defined issue or question that a researcher seeks to investigate through research. It is the starting point of any research project, as it sets the direction, scope, and purpose of the study.

Types of Research Problems

Types of Research Problems are as follows:

Descriptive problems

These problems involve describing or documenting a particular phenomenon, event, or situation. For example, a researcher might investigate the demographics of a particular population, such as their age, gender, income, and education.

Exploratory problems

These problems are designed to explore a particular topic or issue in depth, often with the goal of generating new ideas or hypotheses. For example, a researcher might explore the factors that contribute to job satisfaction among employees in a particular industry.

Explanatory Problems

These problems seek to explain why a particular phenomenon or event occurs, and they typically involve testing hypotheses or theories. For example, a researcher might investigate the relationship between exercise and mental health, with the goal of determining whether exercise has a causal effect on mental health.

Predictive Problems

These problems involve making predictions or forecasts about future events or trends. For example, a researcher might investigate the factors that predict future success in a particular field or industry.

Evaluative Problems

These problems involve assessing the effectiveness of a particular intervention, program, or policy. For example, a researcher might evaluate the impact of a new teaching method on student learning outcomes.

How to Define a Research Problem

Defining a research problem involves identifying a specific question or issue that a researcher seeks to address through a research study. Here are the steps to follow when defining a research problem:

Identify a broad research topic : Start by identifying a broad topic that you are interested in researching. This could be based on your personal interests, observations, or gaps in the existing literature.
Conduct a literature review : Once you have identified a broad topic, conduct a thorough literature review to identify the current state of knowledge in the field. This will help you identify gaps or inconsistencies in the existing research that can be addressed through your study.
Refine the research question: Based on the gaps or inconsistencies identified in the literature review, refine your research question to a specific, clear, and well-defined problem statement. Your research question should be feasible, relevant, and important to the field of study.
Develop a hypothesis: Based on the research question, develop a hypothesis that states the expected relationship between variables.
Define the scope and limitations: Clearly define the scope and limitations of your research problem. This will help you focus your study and ensure that your research objectives are achievable.
Get feedback: Get feedback from your advisor or colleagues to ensure that your research problem is clear, feasible, and relevant to the field of study.

Components of a Research Problem

The components of a research problem typically include the following:

Topic : The general subject or area of interest that the research will explore.
Research Question : A clear and specific question that the research seeks to answer or investigate.
Objective : A statement that describes the purpose of the research, what it aims to achieve, and the expected outcomes.
Hypothesis : An educated guess or prediction about the relationship between variables, which is tested during the research.
Variables : The factors or elements that are being studied, measured, or manipulated in the research.
Methodology : The overall approach and methods that will be used to conduct the research.
Scope and Limitations : A description of the boundaries and parameters of the research, including what will be included and excluded, and any potential constraints or limitations.
Significance: A statement that explains the potential value or impact of the research, its contribution to the field of study, and how it will add to the existing knowledge.

Research Problem Examples

Following are some Research Problem Examples:

Research Problem Examples in Psychology are as follows:

Exploring the impact of social media on adolescent mental health.
Investigating the effectiveness of cognitive-behavioral therapy for treating anxiety disorders.
Studying the impact of prenatal stress on child development outcomes.
Analyzing the factors that contribute to addiction and relapse in substance abuse treatment.
Examining the impact of personality traits on romantic relationships.

Research Problem Examples in Sociology are as follows:

Investigating the relationship between social support and mental health outcomes in marginalized communities.
Studying the impact of globalization on labor markets and employment opportunities.
Analyzing the causes and consequences of gentrification in urban neighborhoods.
Investigating the impact of family structure on social mobility and economic outcomes.
Examining the effects of social capital on community development and resilience.

Research Problem Examples in Economics are as follows:

Studying the effects of trade policies on economic growth and development.
Analyzing the impact of automation and artificial intelligence on labor markets and employment opportunities.
Investigating the factors that contribute to economic inequality and poverty.
Examining the impact of fiscal and monetary policies on inflation and economic stability.
Studying the relationship between education and economic outcomes, such as income and employment.

Political Science

Research Problem Examples in Political Science are as follows:

Analyzing the causes and consequences of political polarization and partisan behavior.
Investigating the impact of social movements on political change and policymaking.
Studying the role of media and communication in shaping public opinion and political discourse.
Examining the effectiveness of electoral systems in promoting democratic governance and representation.
Investigating the impact of international organizations and agreements on global governance and security.

Environmental Science

Research Problem Examples in Environmental Science are as follows:

Studying the impact of air pollution on human health and well-being.
Investigating the effects of deforestation on climate change and biodiversity loss.
Analyzing the impact of ocean acidification on marine ecosystems and food webs.
Studying the relationship between urban development and ecological resilience.
Examining the effectiveness of environmental policies and regulations in promoting sustainability and conservation.

Research Problem Examples in Education are as follows:

Investigating the impact of teacher training and professional development on student learning outcomes.
Studying the effectiveness of technology-enhanced learning in promoting student engagement and achievement.
Analyzing the factors that contribute to achievement gaps and educational inequality.
Examining the impact of parental involvement on student motivation and achievement.
Studying the effectiveness of alternative educational models, such as homeschooling and online learning.

Research Problem Examples in History are as follows:

Analyzing the social and economic factors that contributed to the rise and fall of ancient civilizations.
Investigating the impact of colonialism on indigenous societies and cultures.
Studying the role of religion in shaping political and social movements throughout history.
Analyzing the impact of the Industrial Revolution on economic and social structures.
Examining the causes and consequences of global conflicts, such as World War I and II.

Research Problem Examples in Business are as follows:

Studying the impact of corporate social responsibility on brand reputation and consumer behavior.
Investigating the effectiveness of leadership development programs in improving organizational performance and employee satisfaction.
Analyzing the factors that contribute to successful entrepreneurship and small business development.
Examining the impact of mergers and acquisitions on market competition and consumer welfare.
Studying the effectiveness of marketing strategies and advertising campaigns in promoting brand awareness and sales.

Research Problem Example for Students

An Example of a Research Problem for Students could be:

“How does social media usage affect the academic performance of high school students?”

This research problem is specific, measurable, and relevant. It is specific because it focuses on a particular area of interest, which is the impact of social media on academic performance. It is measurable because the researcher can collect data on social media usage and academic performance to evaluate the relationship between the two variables. It is relevant because it addresses a current and important issue that affects high school students.

To conduct research on this problem, the researcher could use various methods, such as surveys, interviews, and statistical analysis of academic records. The results of the study could provide insights into the relationship between social media usage and academic performance, which could help educators and parents develop effective strategies for managing social media use among students.

Another example of a research problem for students:

“Does participation in extracurricular activities impact the academic performance of middle school students?”

This research problem is also specific, measurable, and relevant. It is specific because it focuses on a particular type of activity, extracurricular activities, and its impact on academic performance. It is measurable because the researcher can collect data on students’ participation in extracurricular activities and their academic performance to evaluate the relationship between the two variables. It is relevant because extracurricular activities are an essential part of the middle school experience, and their impact on academic performance is a topic of interest to educators and parents.

To conduct research on this problem, the researcher could use surveys, interviews, and academic records analysis. The results of the study could provide insights into the relationship between extracurricular activities and academic performance, which could help educators and parents make informed decisions about the types of activities that are most beneficial for middle school students.

Applications of Research Problem

Applications of Research Problem are as follows:

Academic research: Research problems are used to guide academic research in various fields, including social sciences, natural sciences, humanities, and engineering. Researchers use research problems to identify gaps in knowledge, address theoretical or practical problems, and explore new areas of study.
Business research : Research problems are used to guide business research, including market research, consumer behavior research, and organizational research. Researchers use research problems to identify business challenges, explore opportunities, and develop strategies for business growth and success.
Healthcare research : Research problems are used to guide healthcare research, including medical research, clinical research, and health services research. Researchers use research problems to identify healthcare challenges, develop new treatments and interventions, and improve healthcare delivery and outcomes.
Public policy research : Research problems are used to guide public policy research, including policy analysis, program evaluation, and policy development. Researchers use research problems to identify social issues, assess the effectiveness of existing policies and programs, and develop new policies and programs to address societal challenges.
Environmental research : Research problems are used to guide environmental research, including environmental science, ecology, and environmental management. Researchers use research problems to identify environmental challenges, assess the impact of human activities on the environment, and develop sustainable solutions to protect the environment.

Purpose of Research Problems

The purpose of research problems is to identify an area of study that requires further investigation and to formulate a clear, concise and specific research question. A research problem defines the specific issue or problem that needs to be addressed and serves as the foundation for the research project.

Identifying a research problem is important because it helps to establish the direction of the research and sets the stage for the research design, methods, and analysis. It also ensures that the research is relevant and contributes to the existing body of knowledge in the field.

A well-formulated research problem should:

Clearly define the specific issue or problem that needs to be investigated
Be specific and narrow enough to be manageable in terms of time, resources, and scope
Be relevant to the field of study and contribute to the existing body of knowledge
Be feasible and realistic in terms of available data, resources, and research methods
Be interesting and intellectually stimulating for the researcher and potential readers or audiences.

Characteristics of Research Problem

The characteristics of a research problem refer to the specific features that a problem must possess to qualify as a suitable research topic. Some of the key characteristics of a research problem are:

Clarity : A research problem should be clearly defined and stated in a way that it is easily understood by the researcher and other readers. The problem should be specific, unambiguous, and easy to comprehend.
Relevance : A research problem should be relevant to the field of study, and it should contribute to the existing body of knowledge. The problem should address a gap in knowledge, a theoretical or practical problem, or a real-world issue that requires further investigation.
Feasibility : A research problem should be feasible in terms of the availability of data, resources, and research methods. It should be realistic and practical to conduct the study within the available time, budget, and resources.
Novelty : A research problem should be novel or original in some way. It should represent a new or innovative perspective on an existing problem, or it should explore a new area of study or apply an existing theory to a new context.
Importance : A research problem should be important or significant in terms of its potential impact on the field or society. It should have the potential to produce new knowledge, advance existing theories, or address a pressing societal issue.
Manageability : A research problem should be manageable in terms of its scope and complexity. It should be specific enough to be investigated within the available time and resources, and it should be broad enough to provide meaningful results.

Advantages of Research Problem

The advantages of a well-defined research problem are as follows:

Focus : A research problem provides a clear and focused direction for the research study. It ensures that the study stays on track and does not deviate from the research question.
Clarity : A research problem provides clarity and specificity to the research question. It ensures that the research is not too broad or too narrow and that the research objectives are clearly defined.
Relevance : A research problem ensures that the research study is relevant to the field of study and contributes to the existing body of knowledge. It addresses gaps in knowledge, theoretical or practical problems, or real-world issues that require further investigation.
Feasibility : A research problem ensures that the research study is feasible in terms of the availability of data, resources, and research methods. It ensures that the research is realistic and practical to conduct within the available time, budget, and resources.
Novelty : A research problem ensures that the research study is original and innovative. It represents a new or unique perspective on an existing problem, explores a new area of study, or applies an existing theory to a new context.
Importance : A research problem ensures that the research study is important and significant in terms of its potential impact on the field or society. It has the potential to produce new knowledge, advance existing theories, or address a pressing societal issue.
Rigor : A research problem ensures that the research study is rigorous and follows established research methods and practices. It ensures that the research is conducted in a systematic, objective, and unbiased manner.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

Research Process – Steps, Examples and Tips

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Research Contribution – Thesis Guide

Theoretical Framework – Types, Examples and...

Delimitations in Research – Types, Examples and...

Chapter Summary & Overview – Writing Guide...

USC Libraries
Research Guides

Organizing Your Social Sciences Research Paper

The Research Problem/Question
Purpose of Guide
Design Flaws to Avoid
Independent and Dependent Variables
Glossary of Research Terms
Reading Research Effectively
Narrowing a Topic Idea
Broadening a Topic Idea
Extending the Timeliness of a Topic Idea
Academic Writing Style
Applying Critical Thinking
Choosing a Title
Making an Outline
Paragraph Development
Research Process Video Series
Executive Summary
The C.A.R.S. Model
Background Information
Theoretical Framework
Citation Tracking
Content Alert Services
Evaluating Sources
Primary Sources
Secondary Sources
Tiertiary Sources
Scholarly vs. Popular Publications
Qualitative Methods
Quantitative Methods
Insiderness
Using Non-Textual Elements
Limitations of the Study
Common Grammar Mistakes
Writing Concisely
Avoiding Plagiarism
Footnotes or Endnotes?
Further Readings
Generative AI and Writing
USC Libraries Tutorials and Other Guides
Bibliography

A research problem is a definite or clear expression [statement] about an area of concern, a condition to be improved upon, a difficulty to be eliminated, or a troubling question that exists in scholarly literature, in theory, or within existing practice that points to a need for meaningful understanding and deliberate investigation. A research problem does not state how to do something, offer a vague or broad proposition, or present a value question. In the social and behavioral sciences, studies are most often framed around examining a problem that needs to be understood and resolved in order to improve society and the human condition.

Bryman, Alan. “The Research Question in Social Research: What is its Role?” International Journal of Social Research Methodology 10 (2007): 5-20; Guba, Egon G., and Yvonna S. Lincoln. “Competing Paradigms in Qualitative Research.” In Handbook of Qualitative Research . Norman K. Denzin and Yvonna S. Lincoln, editors. (Thousand Oaks, CA: Sage, 1994), pp. 105-117; Pardede, Parlindungan. “Identifying and Formulating the Research Problem." Research in ELT: Module 4 (October 2018): 1-13; Li, Yanmei, and Sumei Zhang. "Identifying the Research Problem." In Applied Research Methods in Urban and Regional Planning . (Cham, Switzerland: Springer International Publishing, 2022), pp. 13-21.

Importance of...

The purpose of a problem statement is to:

Introduce the reader to the importance of the topic being studied . The reader is oriented to the significance of the study.
Anchors the research questions, hypotheses, or assumptions to follow . It offers a concise statement about the purpose of your paper.
Place the topic into a particular context that defines the parameters of what is to be investigated.
Provide the framework for reporting the results and indicates what is probably necessary to conduct the study and explain how the findings will present this information.

In the social sciences, the research problem establishes the means by which you must answer the "So What?" question. This declarative question refers to a research problem surviving the relevancy test [the quality of a measurement procedure that provides repeatability and accuracy]. Note that answering the "So What?" question requires a commitment on your part to not only show that you have reviewed the literature, but that you have thoroughly considered the significance of the research problem and its implications applied to creating new knowledge and understanding or informing practice.

To survive the "So What" question, problem statements should possess the following attributes:

Clarity and precision [a well-written statement does not make sweeping generalizations and irresponsible pronouncements; it also does include unspecific determinates like "very" or "giant"],
Demonstrate a researchable topic or issue [i.e., feasibility of conducting the study is based upon access to information that can be effectively acquired, gathered, interpreted, synthesized, and understood],
Identification of what would be studied, while avoiding the use of value-laden words and terms,
Identification of an overarching question or small set of questions accompanied by key factors or variables,
Identification of key concepts and terms,
Articulation of the study's conceptual boundaries or parameters or limitations,
Some generalizability in regards to applicability and bringing results into general use,
Conveyance of the study's importance, benefits, and justification [i.e., regardless of the type of research, it is important to demonstrate that the research is not trivial],
Does not have unnecessary jargon or overly complex sentence constructions; and,
Conveyance of more than the mere gathering of descriptive data providing only a snapshot of the issue or phenomenon under investigation.

Bryman, Alan. “The Research Question in Social Research: What is its Role?” International Journal of Social Research Methodology 10 (2007): 5-20; Brown, Perry J., Allen Dyer, and Ross S. Whaley. "Recreation Research—So What?" Journal of Leisure Research 5 (1973): 16-24; Castellanos, Susie. Critical Writing and Thinking. The Writing Center. Dean of the College. Brown University; Ellis, Timothy J. and Yair Levy Nova. "Framework of Problem-Based Research: A Guide for Novice Researchers on the Development of a Research-Worthy Problem." Informing Science: the International Journal of an Emerging Transdiscipline 11 (2008); Thesis and Purpose Statements. The Writer’s Handbook. Writing Center. University of Wisconsin, Madison; Thesis Statements. The Writing Center. University of North Carolina; Tips and Examples for Writing Thesis Statements. The Writing Lab and The OWL. Purdue University; Selwyn, Neil. "‘So What?’…A Question that Every Journal Article Needs to Answer." Learning, Media, and Technology 39 (2014): 1-5; Shoket, Mohd. "Research Problem: Identification and Formulation." International Journal of Research 1 (May 2014): 512-518.

Structure and Writing Style

I. Types and Content

There are four general conceptualizations of a research problem in the social sciences:

Casuist Research Problem -- this type of problem relates to the determination of right and wrong in questions of conduct or conscience by analyzing moral dilemmas through the application of general rules and the careful distinction of special cases.
Difference Research Problem -- typically asks the question, “Is there a difference between two or more groups or treatments?” This type of problem statement is used when the researcher compares or contrasts two or more phenomena. This a common approach to defining a problem in the clinical social sciences or behavioral sciences.
Descriptive Research Problem -- typically asks the question, "what is...?" with the underlying purpose to describe the significance of a situation, state, or existence of a specific phenomenon. This problem is often associated with revealing hidden or understudied issues.
Relational Research Problem -- suggests a relationship of some sort between two or more variables to be investigated. The underlying purpose is to investigate specific qualities or characteristics that may be connected in some way.

A problem statement in the social sciences should contain :

A lead-in that helps ensure the reader will maintain interest over the study,
A declaration of originality [e.g., mentioning a knowledge void or a lack of clarity about a topic that will be revealed in the literature review of prior research],
An indication of the central focus of the study [establishing the boundaries of analysis], and
An explanation of the study's significance or the benefits to be derived from investigating the research problem.

NOTE: A statement describing the research problem of your paper should not be viewed as a thesis statement that you may be familiar with from high school. Given the content listed above, a description of the research problem is usually a short paragraph in length.

II. Sources of Problems for Investigation

The identification of a problem to study can be challenging, not because there's a lack of issues that could be investigated, but due to the challenge of formulating an academically relevant and researchable problem which is unique and does not simply duplicate the work of others. To facilitate how you might select a problem from which to build a research study, consider these sources of inspiration:

Deductions from Theory This relates to deductions made from social philosophy or generalizations embodied in life and in society that the researcher is familiar with. These deductions from human behavior are then placed within an empirical frame of reference through research. From a theory, the researcher can formulate a research problem or hypothesis stating the expected findings in certain empirical situations. The research asks the question: “What relationship between variables will be observed if theory aptly summarizes the state of affairs?” One can then design and carry out a systematic investigation to assess whether empirical data confirm or reject the hypothesis, and hence, the theory.

Interdisciplinary Perspectives Identifying a problem that forms the basis for a research study can come from academic movements and scholarship originating in disciplines outside of your primary area of study. This can be an intellectually stimulating exercise. A review of pertinent literature should include examining research from related disciplines that can reveal new avenues of exploration and analysis. An interdisciplinary approach to selecting a research problem offers an opportunity to construct a more comprehensive understanding of a very complex issue that any single discipline may be able to provide.

Interviewing Practitioners The identification of research problems about particular topics can arise from formal interviews or informal discussions with practitioners who provide insight into new directions for future research and how to make research findings more relevant to practice. Discussions with experts in the field, such as, teachers, social workers, health care providers, lawyers, business leaders, etc., offers the chance to identify practical, “real world” problems that may be understudied or ignored within academic circles. This approach also provides some practical knowledge which may help in the process of designing and conducting your study.

Personal Experience Don't undervalue your everyday experiences or encounters as worthwhile problems for investigation. Think critically about your own experiences and/or frustrations with an issue facing society or related to your community, your neighborhood, your family, or your personal life. This can be derived, for example, from deliberate observations of certain relationships for which there is no clear explanation or witnessing an event that appears harmful to a person or group or that is out of the ordinary.

Relevant Literature The selection of a research problem can be derived from a thorough review of pertinent research associated with your overall area of interest. This may reveal where gaps exist in understanding a topic or where an issue has been understudied. Research may be conducted to: 1) fill such gaps in knowledge; 2) evaluate if the methodologies employed in prior studies can be adapted to solve other problems; or, 3) determine if a similar study could be conducted in a different subject area or applied in a different context or to different study sample [i.e., different setting or different group of people]. Also, authors frequently conclude their studies by noting implications for further research; read the conclusion of pertinent studies because statements about further research can be a valuable source for identifying new problems to investigate. The fact that a researcher has identified a topic worthy of further exploration validates the fact it is worth pursuing.

III. What Makes a Good Research Statement?

A good problem statement begins by introducing the broad area in which your research is centered, gradually leading the reader to the more specific issues you are investigating. The statement need not be lengthy, but a good research problem should incorporate the following features:

1. Compelling Topic The problem chosen should be one that motivates you to address it but simple curiosity is not a good enough reason to pursue a research study because this does not indicate significance. The problem that you choose to explore must be important to you, but it must also be viewed as important by your readers and to a the larger academic and/or social community that could be impacted by the results of your study. 2. Supports Multiple Perspectives The problem must be phrased in a way that avoids dichotomies and instead supports the generation and exploration of multiple perspectives. A general rule of thumb in the social sciences is that a good research problem is one that would generate a variety of viewpoints from a composite audience made up of reasonable people. 3. Researchability This isn't a real word but it represents an important aspect of creating a good research statement. It seems a bit obvious, but you don't want to find yourself in the midst of investigating a complex research project and realize that you don't have enough prior research to draw from for your analysis. There's nothing inherently wrong with original research, but you must choose research problems that can be supported, in some way, by the resources available to you. If you are not sure if something is researchable, don't assume that it isn't if you don't find information right away--seek help from a librarian !

NOTE: Do not confuse a research problem with a research topic. A topic is something to read and obtain information about, whereas a problem is something to be solved or framed as a question raised for inquiry, consideration, or solution, or explained as a source of perplexity, distress, or vexation. In short, a research topic is something to be understood; a research problem is something that needs to be investigated.

IV. Asking Analytical Questions about the Research Problem

Research problems in the social and behavioral sciences are often analyzed around critical questions that must be investigated. These questions can be explicitly listed in the introduction [i.e., "This study addresses three research questions about women's psychological recovery from domestic abuse in multi-generational home settings..."], or, the questions are implied in the text as specific areas of study related to the research problem. Explicitly listing your research questions at the end of your introduction can help in designing a clear roadmap of what you plan to address in your study, whereas, implicitly integrating them into the text of the introduction allows you to create a more compelling narrative around the key issues under investigation. Either approach is appropriate.

The number of questions you attempt to address should be based on the complexity of the problem you are investigating and what areas of inquiry you find most critical to study. Practical considerations, such as, the length of the paper you are writing or the availability of resources to analyze the issue can also factor in how many questions to ask. In general, however, there should be no more than four research questions underpinning a single research problem.

Given this, well-developed analytical questions can focus on any of the following:

Highlights a genuine dilemma, area of ambiguity, or point of confusion about a topic open to interpretation by your readers;
Yields an answer that is unexpected and not obvious rather than inevitable and self-evident;
Provokes meaningful thought or discussion;
Raises the visibility of the key ideas or concepts that may be understudied or hidden;
Suggests the need for complex analysis or argument rather than a basic description or summary; and,
Offers a specific path of inquiry that avoids eliciting generalizations about the problem.

NOTE: Questions of how and why concerning a research problem often require more analysis than questions about who, what, where, and when. You should still ask yourself these latter questions, however. Thinking introspectively about the who, what, where, and when of a research problem can help ensure that you have thoroughly considered all aspects of the problem under investigation and helps define the scope of the study in relation to the problem.

V. Mistakes to Avoid

Beware of circular reasoning! Do not state the research problem as simply the absence of the thing you are suggesting. For example, if you propose the following, "The problem in this community is that there is no hospital," this only leads to a research problem where:

The need is for a hospital
The objective is to create a hospital
The method is to plan for building a hospital, and
The evaluation is to measure if there is a hospital or not.

This is an example of a research problem that fails the "So What?" test . In this example, the problem does not reveal the relevance of why you are investigating the fact there is no hospital in the community [e.g., perhaps there's a hospital in the community ten miles away]; it does not elucidate the significance of why one should study the fact there is no hospital in the community [e.g., that hospital in the community ten miles away has no emergency room]; the research problem does not offer an intellectual pathway towards adding new knowledge or clarifying prior knowledge [e.g., the county in which there is no hospital already conducted a study about the need for a hospital, but it was conducted ten years ago]; and, the problem does not offer meaningful outcomes that lead to recommendations that can be generalized for other situations or that could suggest areas for further research [e.g., the challenges of building a new hospital serves as a case study for other communities].

Alvesson, Mats and Jörgen Sandberg. “Generating Research Questions Through Problematization.” Academy of Management Review 36 (April 2011): 247-271 ; Choosing and Refining Topics. Writing@CSU. Colorado State University; D'Souza, Victor S. "Use of Induction and Deduction in Research in Social Sciences: An Illustration." Journal of the Indian Law Institute 24 (1982): 655-661; Ellis, Timothy J. and Yair Levy Nova. "Framework of Problem-Based Research: A Guide for Novice Researchers on the Development of a Research-Worthy Problem." Informing Science: the International Journal of an Emerging Transdiscipline 11 (2008); How to Write a Research Question. The Writing Center. George Mason University; Invention: Developing a Thesis Statement. The Reading/Writing Center. Hunter College; Problem Statements PowerPoint Presentation. The Writing Lab and The OWL. Purdue University; Procter, Margaret. Using Thesis Statements. University College Writing Centre. University of Toronto; Shoket, Mohd. "Research Problem: Identification and Formulation." International Journal of Research 1 (May 2014): 512-518; Trochim, William M.K. Problem Formulation. Research Methods Knowledge Base. 2006; Thesis and Purpose Statements. The Writer’s Handbook. Writing Center. University of Wisconsin, Madison; Thesis Statements. The Writing Center. University of North Carolina; Tips and Examples for Writing Thesis Statements. The Writing Lab and The OWL. Purdue University; Pardede, Parlindungan. “Identifying and Formulating the Research Problem." Research in ELT: Module 4 (October 2018): 1-13; Walk, Kerry. Asking an Analytical Question. [Class handout or worksheet]. Princeton University; White, Patrick. Developing Research Questions: A Guide for Social Scientists . New York: Palgrave McMillan, 2009; Li, Yanmei, and Sumei Zhang. "Identifying the Research Problem." In Applied Research Methods in Urban and Regional Planning . (Cham, Switzerland: Springer International Publishing, 2022), pp. 13-21.

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Research Problem – Definition, Steps & Tips

Published by Jamie Walker at August 12th, 2021 , Revised On October 3, 2023

Once you have chosen a research topic, the next stage is to explain the research problem: the detailed issue, ambiguity of the research, gap analysis, or gaps in knowledge and findings that you will discuss.

Here, in this article, we explore a research problem in a dissertation or an essay with some research problem examples to help you better understand how and when you should write a research problem.

“A research problem is a specific statement relating to an area of concern and is contingent on the type of research. Some research studies focus on theoretical and practical problems, while some focus on only one.”

The problem statement in the dissertation, essay, research paper, and other academic papers should be clearly stated and intended to expand information, knowledge, and contribution to change.

This article will assist in identifying and elaborating a research problem if you are unsure how to define your research problem. The most notable challenge in the research process is to formulate and identify a research problem. Formulating a problem statement and research questions while finalizing the research proposal or introduction for your dissertation or thesis is necessary.

Why is Research Problem Critical?

An interesting research topic is only the first step. The real challenge of the research process is to develop a well-rounded research problem.

A well-formulated research problem helps understand the research procedure; without it, your research will appear unforeseeable and awkward.

Research is a procedure based on a sequence and a research problem aids in following and completing the research in a sequence. Repetition of existing literature is something that should be avoided in research.

Therefore research problem in a dissertation or an essay needs to be well thought out and presented with a clear purpose. Hence, your research work contributes more value to existing knowledge. You need to be well aware of the problem so you can present logical solutions.

Formulating a research problem is the first step of conducting research, whether you are writing an essay, research paper, dissertation , or research proposal .

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Step 1: Identifying Problem Area – What is Research Problem

The most significant step in any research is to look for unexplored areas, topics, and controversies . You aim to find gaps that your work will fill. Here are some research problem examples for you to better understand the concept.

Practical Research Problems

To conduct practical research, you will need practical research problems that are typically identified by analysing reports, previous research studies, and interactions with the experienced personals of pertinent disciplines. You might search for:

Problems with performance or competence in an organization
Institutional practices that could be enhanced
Practitioners of relevant fields and their areas of concern
Problems confronted by specific groups of people within your area of study

If your research work relates to an internship or a job, then it will be critical for you to identify a research problem that addresses certain issues faced by the firm the job or internship pertains to.

Examples of Practical Research Problems

Decreased voter participation in county A, as compared to the rest of the country.

The high employee turnover rate of department X of company Y influenced efficiency and team performance.

A charity institution, Y, suffers a lack of funding resulting in budget cuts for its programmes.

Theoretical Research Problems

Theoretical research relates to predicting, explaining, and understanding various phenomena. It also expands and challenges existing information and knowledge.

Identification of a research problem in theoretical research is achieved by analysing theories and fresh research literature relating to a broad area of research. This practice helps to find gaps in the research done by others and endorse the argument of your topic.

Here are some questions that you should bear in mind.

A case or framework that has not been deeply analysed
An ambiguity between more than one viewpoints
An unstudied condition or relationships
A problematic issue that needs to be addressed

Theoretical issues often contain practical implications, but immediate issues are often not resolved by these results. If that is the case, you might want to adopt a different research approach to achieve the desired outcomes.

Examples of Theoretical Research Problems

Long-term Vitamin D deficiency affects cardiac patients are not well researched.

The relationship between races, sex, and income imbalances needs to be studied with reference to the economy of a specific country or region.

The disagreement among historians of Scottish nationalism regarding the contributions of Imperial Britain in the creation of the national identity for Scotland.

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Step 2: Understanding the Research Problem

The researcher further investigates the selected area of research to find knowledge and information relating to the research problem to address the findings in the research.

Background and Rationale

Population influenced by the problem?
Is it a persistent problem, or is it recently revealed?
Research that has already been conducted on this problem?
Any proposed solution to the problem?
Recent arguments concerning the problem, what are the gaps in the problem?

How to Write a First Class Dissertation Proposal or Research Proposal

Particularity and Suitability

What specific place, time, and/or people will be focused on?
Any aspects of research that you may not be able to deal with?
What will be the concerns if the problem remains unresolved?
What are the benefices of the problem resolution (e.g. future researcher or organisation’s management)?

Example of a Specific Research Problem

A non-profit institution X has been examined on their existing support base retention, but the existing research does not incorporate an understanding of how to effectively target new donors. To continue their work, the institution needs more research and find strategies for effective fundraising.

Once the problem is narrowed down, the next stage is to propose a problem statement and hypothesis or research questions.

If you are unsure about what a research problem is and how to define the research problem, then you might want to take advantage of our dissertation proposal writing service. You may also want to take a look at our essay writing service if you need help with identifying a research problem for your essay.

Frequently Asked Questions

What is research problem with example.

A research problem is a specific challenge that requires investigation. Example: “What is the impact of social media on mental health among adolescents?” This problem drives research to analyse the relationship between social media use and mental well-being in young people.

How many types of research problems do we have?

Descriptive: Describing phenomena as they exist.
Explanatory: Understanding causes and effects.
Exploratory: Investigating little-understood phenomena.
Predictive: Forecasting future outcomes.
Prescriptive: Recommending actions.
Normative: Describing what ought to be.

What are the principles of the research problem?

Relevance: Addresses a significant issue.
Re searchability: Amenable to empirical investigation.
Clarity: Clearly defined without ambiguity.
Specificity: Narrowly framed, avoiding vagueness.
Feasibility: Realistic to conduct with available resources.
Novelty: Offers new insights or challenges existing knowledge.
Ethical considerations: Respect rights, dignity, and safety.

Why is research problem important?

A research problem is crucial because it identifies knowledge gaps, directs the inquiry’s focus, and forms the foundation for generating hypotheses or questions. It drives the methodology and determination of study relevance, ensuring that research contributes meaningfully to academic discourse and potentially addresses real-world challenges.

How do you write a research problem?

To write a research problem, identify a knowledge gap or an unresolved issue in your field. Start with a broad topic, then narrow it down. Clearly articulate the problem in a concise statement, ensuring it’s researchable, significant, and relevant. Ground it in the existing literature to highlight its importance and context.

How can we solve research problem?

To solve a research problem, start by conducting a thorough literature review. Formulate hypotheses or research questions. Choose an appropriate research methodology. Collect and analyse data systematically. Interpret findings in the context of existing knowledge. Ensure validity and reliability, and discuss implications, limitations, and potential future research directions.

How to Write a Statement of the Problem in Research

The problem statement is a foundation of academic research writing , providing a precise representation of an existing gap or issue in a particular field of study.

Crafting a sharp and focused problem statement lays the groundwork for your research project.

It highlights the research's significance .
Emphasizes its potential to influence the broader academic community.
Represents the initial step for you to make a meaningful contribution to your discipline.

Therefore, in this article, we will discuss what is a statement of the problem in research and how to craft a compelling research problem statement.

What is a research problem statement?

A research problem statement is a concise, clear, and specific articulation of a gap in current knowledge that your research aims to bridge. It not only sets forth the scope and direction of your research but also establishes its relevance and significance.

Your problem statement in your research paper aims to:

Define the gap : Clearly identify and articulate a specific gap or issue in the existing knowledge.
Provide direction : Serve as a roadmap, guiding the course of your research and ensuring you remain focused.
Establish relevance : Highlight the importance and significance of the problem in the context of your field or the broader world.
Guide inquiry : Formulate the research questions or hypotheses you'll explore.
Communicate intent : Succinctly convey the core purpose of your research to stakeholders, peers, and any audience.
Set boundaries : Clearly define the scope of your research to ensure it's focused and achievable.

When should you write a problem statement in research?

Initiate your research by crafting a clear problem statement. This should be done before any data collection or analysis, serving as a foundational anchor that clearly identifies the specific issue you aim to address.

By establishing this early on, you shape the direction of your research, ensuring it targets a genuine knowledge gap.

Furthermore, an effective and a concise statement of the problem in research attracts collaborators, funders, and supporters, resonating with its clarity and purpose. Remember, as your research unfolds, the statement might evolve, reflecting new insights and staying pertinent.

But how do you distinguish between a well-crafted problem statement and one that falls short?

Effective vs. ineffective research problem statements

Imagine a scenario where medical researchers aim to tackle a new strain of virus. Their effective problem statement wouldn't merely state the existence of the virus. Instead, it would delve into the specifics — the regions most affected, the demographics most vulnerable, and the current limitations in medical interventions.

Whereas an ineffective research problem statement is vague, overly broad, or ambiguous, failing to provide a clear direction for the research. It may not be rooted in existing literature, might lack clarity on its significance, or could be framed in a way that makes the research objectives unachievable or irrelevant.

To understand it better, let's consider the topic of “Remote work and employee productivity.”

Effective problem statement

“Over the past decade, there has been a 70% increase in organizations adopting remote work policies. While some studies suggest remote work enhances employee productivity, others indicate potential declines due to distractions at home.

However, there’s a lack of comprehensive research examining the specific factors in a remote environment that influence productivity. This study aims to identify and analyze these factors, providing organizations with actionable insights to optimize remote work policies.”

Why is this statement of a problem in research effective?

Specificity : The statement provides a clear percentage to highlight the rise in remote work.
Context : It acknowledges existing research and the conflicting findings.
Clear gap identification : It points out the lack of comprehensive research on specific factors affecting productivity in remote work.
Purpose : The statement concludes with a clear aim for the research.

Ineffective problem statement

"People are working from home a lot now, especially since there are so many internet tools. Some say it's good; others say it's not that great. This research will just look into the whole work-from-home thing and see what's up."

Why is this statement of a problem in research ineffective?

Informal language : Phrases like "what's up" and "the whole work-from-home thing" are not suitable for academic writing.
Vagueness : The statement doesn't provide any specific data or context about the rise of remote work.
Lack of clear focus : It's unclear what aspect of remote work the research will address.
Ambiguous purpose : The statement doesn't specify the research's objectives or expected outcomes.

After gaining an understanding of what an effective research problem statement looks like, let's dive deeper into how to write one.

How to write a problem statement in research?

Drafting your research problem statement at the onset of your research journey ensures that your research remains anchored. That means by defining and articulating the main issue or challenge you intend to address at the very beginning of your research process; you provide a clear focus and direction for the entire study.

Here's a detailed guide to how you can write an effective statement of the problem in research.

Identify the research area : Before addressing a specific problem, you need to know the broader domain or field of your study. This helps in contextualizing your research and ensuring it aligns with existing academic disciplines.

Example: If you're curious about the effects of digital technology on human behavior, your broader research area might be Digital Sociology or Media Studies.

Conduct preliminary literature review : Familiarize yourself with existing research related to your topic. This will help you understand what's already known and, more importantly, identify gaps or unresolved questions in the existing knowledge. This step also ensures you're advancing upon existing work rather than replicating it.

Example: Upon reviewing literature on digital technology and behavior, you find many studies on social media's impact on youth but fewer on its effects on the elderly.

Read how to conduct an effective literature review .

Define the specific problem : After thoroughly reviewing the literature, pinpoint a particular issue that your research will address. Ensure that this chosen issue is not only of substantial importance in its field but also realistically approachable given your resources and expertise. To define it precisely, you might consider:

Highlighting discrepancies or contradictions in existing literature.
Emphasizing the real-world implications of this gap.
Assessing the feasibility of exploring this issue within your means and timeframe.

Example: You decide to investigate how digital technology, especially social media, affects the mental well-being of the elderly, given the limited research in this area.

Articulate clearly and concisely : Your problem statement should be straightforward and devoid of jargon. It needs to convey the essence of your research issue in a manner that's understandable to both experts and non-experts.

Example: " The impact of social media on the mental well-being of elderly individuals remains underexplored, despite the growing adoption of digital technology in this age group. "

Highlight the significance : Explain why your chosen research problem matters. This could be due to its real-world implications, its potential to fill a knowledge gap or its relevance to current events or trends.

Example: As the elderly population grows and becomes more digitally connected, understanding the psychological effects of social media on this demographic could inform digital literacy programs and mental health interventions.

Ensure feasibility : Your research problem should be something you can realistically study, given your resources, timeframe, and expertise. It's essential to ensure that you can gather data, conduct experiments, or access necessary materials or participants.

Example: You plan to survey elderly individuals in local community centers about their social media usage and perceived mental well-being, ensuring you have the means to reach this demographic.

Seek feedback : Discuss your preliminary problem statement with peers, mentors, or experts in the field. They can provide insights, point out potential pitfalls, or suggest refinements.

Example: After discussing with a gerontologist, you decide to also consider the role of digital training in moderating the effects of social media on the elderly.

Refine and Revise : Based on feedback and further reflection, revise and improve your problem statement. This iterative process ensures clarity, relevance, and precision.

Example: Your refined statement reads: Despite the increasing digital connectivity of the elderly, the effects of social media on their mental well-being, especially in the context of digital training, remain underexplored.

By following these detailed steps, you can craft a research problem statement that is both compelling and academically rigorous.

Having explored the details of crafting a research problem statement, it's crucial to distinguish it from another fundamental element in academic research: the thesis statement.

Difference between a thesis statement and a problem statement

While both terms are central to research, a thesis statement presents your primary claim or argument, whereas a problem statement describes the specific issue your research aims to address.

Think of the thesis statement as the conclusion you're driving towards, while the problem statement identifies a specific gap in current knowledge.

For instance, a problem statement might highlight the rising mental health issues among teenagers, while the thesis statement could propose that increased screen time is a significant contributor.

Refer to the comparison table between what is a thesis and a problem statement in the research below:

Aspect	Thesis Statement	Problem Statement
Definition	A concise statement that presents the main claim or argument of the research	A clear articulation of a specific issue or gap in knowledge that the research aims to address
Purpose	To provide readers with the primary focus or argument of the research and what it aims to demonstrate	To highlight a particular issue or gap that the research seeks to address
Placement	Found in the introduction of a thesis or dissertation, usually within the first 1-2 pages, indicating the central argument or claim the entire work	Positioned early in research papers or proposals, it sets the context by highlighting the issue the research will address, guiding subsequent questions and methodologies
Nature of statement	Assertive and argumentative, as it makes a claim that the research will support or refute	Descriptive and explanatory, as it outlines the issue without necessarily proposing a solution or stance
Derived from	Research findings, data analysis, and interpretation	Preliminary literature review, observed gaps in knowledge, or identified issues in a particular field
Word count	Typically concise, ranging from 1 sentence to a short paragraph (approximately 25-50 words)	Generally more detailed, ranging from a paragraph to a page (approximately 100-300 words)

Common mistakes to avoid in writing statement of the problem in research

Mistakes in the research problem statement can lead to a domino effect, causing misalignment in research objectives, wasted resources, and even inconclusive or irrelevant results.

Recognizing and avoiding these pitfalls not only strengthens the foundation of your research but also ensures that your efforts concede impactful insights.

Here's a detailed exploration of frequent subjective, qualitative, quantitative and measurable mistakes and how you can sidestep them.

Being too broad or too narrow

A problem statement that's too broad can lack focus, making it challenging to derive specific research questions or objectives. Conversely, a statement that's too narrow might limit the scope of your research or make it too trivial.

Example of mistake: "Studying the effects of diet on health" is too broad, while "Studying the effects of eating green apples at 3 pm on heart health" is overly narrow.

You can refine the scope based on preliminary research. The correct way to write this problem statement will be "Studying the effects of a high-fiber diet on heart health in adults over 50." This statement is neither too broad nor too narrow, and it provides a clear direction for the research.

Using unnecessary jargon or technical language

While academic writing often involves academic terms, overloading your problem statement with jargon can alienate readers and obscure the actual problem.

Example of Mistake: "Examining the diurnal variations in macronutrient ingestion vis-à-vis metabolic homeostasis."

To ensure it’s not complicated, you can simplify and clarify. "Examining how daily changes in nutrient intake affect metabolic balance" conveys the same idea more accessible.

Not emphasizing the "Why" of the problem

It's not enough to state a problem; you must also convey its significance. Why does this problem matter? What are the implications of not addressing it?

Example of Mistake: "Many students are not engaging with online learning platforms."

You can proceed with the approach of highlighting the significance here. "Many students are not engaging with online learning platforms, leading to decreased academic performance and widening educational disparities."

Circular reasoning and lack of relevance

Your problem statement should be grounded in existing research or observed phenomena. Avoid statements that assume what they set out to prove or lack a clear basis in current knowledge.

Example of Mistake: "We need to study X because not enough research has been done on X."

Instead, try grounding your statement based on already-known facts. "While several studies have explored Y, the specific impact of X remains unclear, necessitating further research."

Being overly ambitious

While it's commendable to aim high, your problem statement should reflect a challenge that's achievable within your means, timeframe, and resources.

Example of Mistake: "This research will solve world hunger."

Here, you need to be realistic and focused. "This research aims to develop sustainable agricultural techniques to increase crop yields in arid regions."

By being mindful of these common mistakes, you can craft a problem statement that is clear, relevant and sets a solid foundation for your research.

Over-reliance on outdated data

Using data that is no longer relevant can mislead the direction of your research. It's essential to ensure that the statistics or findings you reference are current and pertinent to the present scenario.

Example of Mistake: "According to a 1995 study, only 5% of the population uses the internet for daily tasks."

You always cross-check the dates and relevance of the data you're using. For a contemporary study on internet usage, you'd want to reference more recent statistics.

Not specifying the sample size or demographic

A problem statement should be clear about the population or sample size being studied, especially when making generalizations or claims.

Example of Mistake: "People prefer online shopping to in-store shopping."

Here, you would benefit from specifying the demographic or sample size when presenting data to avoid overgeneralization. " In a survey of 1,000 urban residents aged 18-35, 70% expressed a preference for online shopping over in-store shopping. "

Ignoring conflicting data

Cherry-picking data that supports your hypothesis while ignoring conflicting data can lead to a biased problem statement.

Example of Mistake: "Research shows that all students benefit from online learning."

You’ve to ensure a balanced view by considering all relevant data, even if it contradicts your hypothesis. " While many studies highlight the advantages of online learning for students, some research points to challenges such as decreased motivation and lack of face-to-face interaction. "

Making unsubstantiated predictions

Projecting future trends without solid data can weaken the credibility of your problem statement.

Example of Mistake: "The demand for electric cars will increase by 500% in the next year."

Base your predictions on current trends and reliable data sources, avoiding hyperbolic or unsupported claims. " With the current growth rate and recent advancements in battery technology, there's potential for a significant rise in the demand for electric cars. "

Wrapping Up

A well-crafted problem statement ensures that your research is focused, relevant, and contributes meaningfully to the broader academic community.

However, the consequences of an incorrect or poorly constructed problem statement can be severe. It can lead to misdirected research efforts, wasted resources, compromised credibility, and even ethical concerns. Such pitfalls underscore the importance of dedicating time and effort to craft a precise and impactful problem statement.

So, as you start your research journey , remember that a well-defined problem statement is not just a starting point; it guides your entire research journey, ensuring clarity, relevance, and meaningful contributions to your field.

Frequently Asked Questions

A problem statement is a clear, concise and specific articulation of a gap in current knowledge that your research aims to bridge.

The Problem Statement should highlight existing gaps in current knowledge and also the significance of the research. It should also include the research question and purpose of the research.

Clear articulation of the problem and establishing relevance; Working thesis (methods to solve the problem); Purpose and scope of study — are the 3 parts of the problem statement.

While the statement of the problem articulates and delineates a particular research problem, Objectives designates the aims, purpose and strategies to address the particular problem.

Here’s an example — “The study aims to identify and analyze the specific factors that impact employee productivity, providing organizations with actionable insights to optimize remote work policies.”

Consensus GPT vs. SciSpace GPT: Choose the Best GPT for Research

Literature Review and Theoretical Framework: Understanding the Differences

Types of Essays in Academic Writing - Quick Guide (2024)

Organizing Your Social Sciences Research Paper: Choosing a Research Problem

Purpose of Guide
Writing a Research Proposal
Design Flaws to Avoid
Independent and Dependent Variables
Narrowing a Topic Idea
Broadening a Topic Idea
The Research Problem/Question
Academic Writing Style
Choosing a Title
Making an Outline
Paragraph Development
The C.A.R.S. Model
Background Information
Theoretical Framework
Citation Tracking
Evaluating Sources
Reading Research Effectively
Primary Sources
Secondary Sources
What Is Scholarly vs. Popular?
Is it Peer-Reviewed?
Qualitative Methods
Quantitative Methods
Common Grammar Mistakes
Writing Concisely
Avoiding Plagiarism [linked guide]
Annotated Bibliography
Grading Someone Else's Paper

A research problem is the main organizing principle guiding the analysis of your paper. The problem under investigation offers us an occasion for writing and a focus that governs what we want to say. It represents the core subject matter of scholarly communication, and the means by which we arrive at other topics of conversations and the discovery of new knowledge and understanding.

Choosing a Research Problem

Do not assume that choosing a research problem to study will be a quick or easy task! You should be thinking about it at the start of the course. There are generally three ways you are asked to write about a research problem : 1) your professor provides you with a general topic from which you study a particular aspect; 2) your professor provides you with a list of possible topics to study and you choose a topic from that list; or, 3) your professor leaves it up to you to choose a topic and you only have to obtain permission to write about it before beginning your investigation. Here are some strategies for getting started for each scenario.

Alvesson, Mats and Jörgen Sandberg. Constructing Research Questions: Doing Interesting Research . London: Sage, 2013; Chapter 1: Research and the Research Problem. Nicholas Walliman . Your Research Project: Designing and Planning Your Work . 3rd edition. Thousand Oaks, CA: Sage Publications, 2011.

I. How To Begin: You are given the topic to write about

Step 1 : Identify concepts and terms that make up the topic statement . For example, your professor wants the class to focus on the following research problem: “Is the European Union a credible security actor with the capacity to contribute to confronting global terrorism?" The main concepts is this problem are: European Union, global terrorism, credibility [ hint : focus on identifying proper nouns, nouns or noun phrases, and action verbs in the assignment description]. Step 2 : Review related literature to help refine how you will approach examining the topic and finding a way to analyze it . You can begin by doing any or all of the following: reading through background information from materials listed in your course syllabus; searching the University Libraries Catalog to find a recent book on the topic and, if appropriate, more specialized works about the topic; conducting a preliminary review of the research literature using multidisciplinary library databases such as Start Your Research or subject-specific databases from the " Databases By Subject " page.

Choose the advanced search option feature and enter into each search box the main concept terms you developed in Step 1. Also consider using their synonyms to retrieve relevant articles. This will help you refine and frame the scope of the research problem. You will likely need to do this several times before you can finalize how to approach writing about the topic. NOTE : Always review the references from your most relevant research results cited by the authors in footnotes, endnotes, or a bibliography to locate related research on your topic. This is a good strategy for identifying important prior research about the topic because titles that are repeatedly cited indicate their significance in laying a foundation for understanding the problem. However, if you’re having trouble at this point locating relevant research literature, ask a librarian for help!

ANOTHER NOTE : If you find an article from a journal that's particularly helpful, put quotes around the title of the article and paste it into Google Scholar . If the article record appears, look for a "cited by" reference followed by a number. This link indicates how many times other researchers have subsequently cited that article since it was first published. This is an excellent strategy for identifying more current, related research on your topic. Finding additional cited by references from your original list of cited by references helps you navigate through the literature and, by so doing, understand the evolution of thought around a particular research problem. Step 3 : Since social science research papers are generally designed to get you to develop your own ideas and arguments, look for sources that can help broaden, modify, or strengthen your initial thoughts and arguments. For example, if you decide to argue that the European Union is ill prepared to take on responsibilities for broader global security because of the debt crisis in many EU countries, then focus on identifying sources that support as well as refute this position. From the advanced search option in Start Your Research , a sample search would use "European Union" in one search box, "global security" in the second search box, and adding a third search box to include "debt crisis."

There are least four appropriate roles your related literature plays in helping you formulate how to begin your analysis :

Sources of criticism -- frequently, you'll find yourself reading materials that are relevant to your chosen topic, but you disagree with the author's position. Therefore, one way that you can use a source is to describe the counter-argument, provide evidence from your review of the literature as to why the prevailing argument is unsatisfactory, and to discuss how your own view is more appropriate based upon your interpretation of the evidence.
Sources of new ideas -- while a general goal in writing college research papers in the social sciences is to approach a research problem with some basic idea of what position you'd like to take and what grounds you'd like to stand upon, it is certainly acceptable [and often encouraged] to read the literature and extend, modify, and refine your own position in light of the ideas proposed by others. Just make sure that you cite the sources !
Sources for historical context -- another role your related literature plays in helping you formulate how to begin your analysis is to place issues and events in proper historical context. This can help to demonstrate familiarity with developments in relevant scholarship about your topic, provide a means of comparing historical versus contemporary issues and events, and identifying key people, places, and events that had an important role related to the research problem.
Sources of interdisciplinary insight -- an advantage of using databases like Start Your Research to begin exploring your topic is that it covers publications from a variety of different disciplines. Another way to formulate how to study the topic is to look at it from different disciplinary perspectives. If the topic concerns immigration reform, for example, ask yourself, how do studies from sociological journals found by searching Start Your Research vary in their analysis from those in law journals. A goal in reviewing related literature is to provide a means of approaching a topic from multiple perspectives rather than the perspective offered from just one discipline.

NOTE : Remember to keep careful notes at every stage or utilize a citation management system like Endnote. You may think you'll remember what you have searched and where you found things, but it’s easy to forget or get confused. Most databases have a search history feature that allows you to go back and see what searches you conducted previously as long as you haven't closed your session. If you start over, that history could be deleted.

Step 4 : Assuming you've done an effective job of synthesizing and thinking about the results of your initial search for related literature, you're ready to prepare a detailed outline for your paper that lays the foundation for a more in-depth and focused review of relevant research literature [after consulting with a librarian, if needed!]. How will you know you haven't done an effective job of synthesizing and thinking about the results of our initial search for related literature? A good indication is that you start composing your paper outline and gaps appear in how you want to approach the study. This indicates the need to gather further background information and analysis about your research problem.

II. How To Begin: Your professor leaves it up to you to choose a topic

Step 1 : Under this scenario, the key process is turning an idea or general thought into a topic that can be configured into a research problem. When given an assignment where you choose the research topic, don't begin by thinking about what to write about, but rather, ask yourself the question, "What do I want to know?" Treat an open-ended assignment as an opportunity to learn about something that's new or exciting to you.

Step 2 : If you lack ideas, or wish to gain focus, try any or all of the following strategies:

Review your course readings, particularly the suggested readings, for topic ideas. Don't just review what you've already read but jump ahead in the syllabus to readings that have not been covered yet.
Search the University Libraries Catalog for a good, recently published book and, if appropriate, more specialized works related to the discipline area of the course [e.g., for the course SOCI 335, search for books on population and society].
Browse through some current journals in your subject discipline. Even if most of the articles are not relevant, you can skim through the contents quickly. You only need one to be the spark that begins the process of wanting to learn more about a topic. Consult with a librarian and/or your professor about the core journals within your subject discipline.
Think about essays you have written for past classes, other courses you have taken, or academic lectures and programs you have attended. Thinking back, what interested you the most? What would you like to know more about? Place this in the context of the current course assignment.
Search online media sources, such as CNN , the Los Angeles Times , Huffington Post , Fox News , or Newsweek , to see if your idea has been covered by the media. Use this coverage to refine your idea into something that you'd like to investigate further, but in a more deliberate, scholarly way based on a particular problem that needs to be researched.

Step 3 : To build upon your initial idea, use the suggestions under this tab to help narrow , broaden , or increase the timeliness of your idea so you can write it out as a research problem.

Once you are comfortable with having turned your idea into a research problem, follow Steps 1 - 4 listed in Part I above to further develop it into a research paper.

Alderman, Jim. " Choosing a Research Topic ." Beginning Library and Information Systems Strategies. Paper 17. Jacksonville, FL: University of North Florida Digital Commons, 2014; Alvesson, Mats and Jörgen Sandberg. Constructing Research Questions: Doing Interesting Research . London: Sage, 2013; Chapter 2: Choosing a Research Topic. Adrian R. Eley. Becoming a Successful Early Career Researcher . New York: Routledge, 2012; Answering the Question . Academic Skills Centre. University of Canberra; Brainstorming . Department of English Writing Guide. George Mason University; Brainstorming . The Writing Center. University of North Carolina; Chapter 1: Research and the Research Problem. Nicholas Walliman . Your Research Project: Designing and Planning Your Work . 3rd edition. Thousand Oaks, CA: Sage Publications, 2011; Choosing a Topic . The Writing Lab and The OWL. Purdue University; Coming Up With Your Topic . Institute for Writing Rhetoric. Dartmouth College; How To Write a Thesis Statement . Writing Tutorial Services, Center for Innovative Teaching and Learning. Indiana University; Identify Your Question . Start Your Research. University Library, University of California, Santa Cruz; The Process of Writing a Research Paper . Department of History. Trent University; Trochim, William M.K. Problem Formulation . Research Methods Knowledge Base. 2006.

III. How To Begin: You are provided a list of possible topics to choose from

I. How To Begin: You are provided a list of possible topics to choose from Step 1 : I know what you’re thinking--which topic from this list my professor has given me will be the easiest to find the most information on? An effective instructor should never include a topic that is so obscure or complex that no research is available to examine and from which to begin to design a study. Instead of searching for the path of least resistance choose a topic that you find interesting in some way, or that is controversial and that you have a strong opinion about, or has some personal meaning for you. You're going to be working on your topic for quite some time, so choose one that you find interesting and engaging or that motivates you to take a position. Embrace the opportunity to learn something new! Once you’ve settled on a topic of interest from the list, follow Steps 1 - 4 listed above to further develop it into a research paper.

NOTE : It’s ok to review related literature to help refine how you will approach analyzing a topic, and then discover that the topic isn’t all that interesting to you. In that case, you can choose another from the list. Just don’t wait too long to make a switch and, of course, be sure to inform your professor that you are changing your topic.

Resources for Identifying a Topic

Resources for identifying a research problem.

If you are having difficulty identifying a topic to study or need basic background information, the following web resources and databases can be useful:

CQ Researcher This link opens in a new window Reports with overviews, background and timeline of a topic; an assessment of the current situation; tables and maps; pro/con statements from opposing positions. Topics include health, social trends, criminal justice, international affairs, education, the environment, technology, economy, and global affairs. 1923 to present.
New York Times Topics Each topic page collects news, reference and archival information, photos, graphics, audio and video files published on a variety of topics. Content is available without charge on articles going back to 1981.

Writing Tip

Don't be a Martyr!

In thinking about a research topic to study, don't adopt the mindset of pursuing an esoteric or incredibly complicated topic just to impress your professor but that, in reality, does not have any real interest to you. As best as you can, choose a topic that has at least some interest to you or that you care about. Obviously, this is easier for courses within your major, but even for those nasty prerequisite classes that you must take in order to graduate [and that provide an additional revenue stream to the university], try to apply issues associated with your major to the general topic given to you. For example, if you are an IR major taking a philosophy class where the assignment asks you to apply the question of "what is truth" to some aspect of life, you could choose to study how government leaders attempt to shape truth through the use of propaganda.

Another Writing Tip

Not Finding Anything on Your Topic? Ask a Librarian!

Librarians are experts in locating information and providing strategies for analyzing existing knowledge in new ways. Don't assume or jump to the conclusion that your topic is too narrowly defined or obscure just because you haven’t found any information about it. Always consult a librarian before you consider giving up on finding information about the topic you want to investigate. If there isn't a lot of information about your topic, a librarian can often help you identify a closely related topic that you can study. Follow this link to contact a librarian.

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Last Updated: Sep 8, 2023 12:19 PM
URL: https://guides.library.txstate.edu/socialscienceresearch

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5 Sources of a Research Problem: The Complete Guide

by Antony W

June 6, 2024

In this guide, you will learn about the best sources of a research problem for your next project.

The term research problem refers to a clear expression of an area of concern that requires a clear understanding and deliberate investigation. While it offers a broad proposition and a valuable question, a research problem doesn’t demonstrate how to do something.

It’s worth looking at a research problem for a number of reasons. It introduces a reader to the topic under investigation and orients to the importance of the study.

Besides allowing you to define the most important parameter to investigate in your paper, a research problem offers you a concise guide to come up with research questions , make relevant assumptions, and formulate a proposition .

More importantly, a research problem gives you a more comprehensive framework to conduct extensive studies and explain your findings.

Need help with your research paper, dissertation, or thesis but you have no idea where to start? Hire Help for Assessment for Assistance.

Type of Research Problems

There are four types of research problems that you need to know before we look at the sources of a research problem.

These are casuist, difference, descriptive and relational research problems.

1. Relational Research Problem

A relational research problem suggests the need to investigate the correlation between two or more variables.

It’s the researcher’s responsibility to investigate a number of precise characteristics and identify the relationship between them.

2. Casuist Research Problem

Casuist research problem has something to do with the determination of what’s right and what’s wrong.

It questions human conduct by looking closely at the moral dilemmas by means of careful differentiation of cases as well as the application of general rules.

3. Descriptive Research Problem

In this case, a researcher looks forward to investigating a “what is” kind of issue.

The goal of examining a descriptive research problem is to determine the underlying significance of an event or the existence of a situation.

It’s with the descriptive research problem that a researcher can discover understudied or hidden issues.

5. Difference Research Problem

A difference research problem focuses on the distinction between two or more groups. More often than not, researchers use this type of problem to compare and contrast more than one phenomenon.

What are the Sources of Research Problems?

Now that you know the types of possible research problems that you can focus on in a term paper , let’s look at the sources that you can use to identify research problems.

From a research perspective, the kind of research problem that you wish to investigate should meet two conditions.

First, the problem has to be unique and not something other researchers have already looked into exhaustively. Second, the problem has to be concise enough to raise specific issues that you can address in a research paper .

With that said, below are five sources of a research problem:

1. Interviews

Interviews sessions can be significant sources of research problems. The method gives you an opportunity to have formal discussions and informal interactions with individuals who can provide useful insights into research and make findings more relevant to future research.

Consider having discussions with experts in the field you wish to investigate. These professionals mat be healthcare service providers, business leaders, teachers, social workers, attorneys, and accountants to mention but a few examples.

By interacting with these experts, you’re able to identify real-world problems that researchers have either ignored or understudied in the academic space.

Moreover, interview sessions give you the opportunity to get some practical knowledge that can help you to design and conduct your studies.

2. Personal Experiences

Your everyday experiences are a good source of research problem.

You have to think critically about your personal experiences with an issue that affects your family, your personal life, or your community.

A research problem derived from personal experience can spring from any issue and from anywhere.

For example, you can construct a research problem from events that appear to be out of the ordinary or from community relationships that don’t have clear explanations.

3. Deductions from Theory

A deduction from theory refers to inferences a researcher makes from the generalizations of life in a society that a researcher knows very well.

A researcher takes the deduction, places them in an empirical frame, and then, based on a theory, they come up with a research problem and a hypothesis that suggests some findings based on given empirical results.

The research accounts for the relationship to observe if a theory summarizes the state of an affair.

A systematic investigation, which evaluates if the empirical information affirms or rejects the hypothesis , comes next.

4. Interdisciplinary Perspective

If you consider interdisciplinary perspective to identify a problem for a research study, you’ll have to look at scholarship and academic movements from outside your main area of investigation.

It’s an intellectually involving process, one that requires reviewing pertinent literature to discover unique avenues of exploration an analysis.

The benefit of using this approach to identify a research problem for your research paper assignment is that it presents an opportunity for you to understand complex issues with ease.

5. Relevant Literature

To generate a research problem from relevant literature, you first have to review research related to your area of interest.

Doing so allows you to find gaps on the topic, making it easy for you to understand just how much understudied your area of interest is.

Data collected from relevant literature is relevant because it helps to:

Fill existing gaps in knowledge based on a specific research
Determine if current studies can have implications on further research on the same issue
See if it’s possible to conduct a similar study in a different area or apply the same in a different context
Determine if the methods used in previous studies can be effective in solving future problems

We can’t stress enough on the value of existing literature. The results should point you towards an outstanding issue, give suggestion for future gaps, and make it possible to delineate gaps in existing knowledge.

Research Paper Writing Help

Finding a research problem is just one part of the research paper assignment. You have to develop a research question, formulate a hypothesis, write a thesis statement, and then write your research paper. It can be a lot of work, which demands a lot of attention and time.

If you need help to brainstorm, research, and write your research paper, click the button below to place your order.

About the author

Antony W is a professional writer and coach at Help for Assessment. He spends countless hours every day researching and writing great content filled with expert advice on how to write engaging essays, research papers, and assignments.

Organizing Academic Research Papers: The Research Problem/Question

Purpose of Guide
Design Flaws to Avoid
Glossary of Research Terms
Narrowing a Topic Idea
Broadening a Topic Idea
Extending the Timeliness of a Topic Idea
Academic Writing Style
Choosing a Title
Making an Outline
Paragraph Development
Executive Summary
Background Information
The Research Problem/Question
Theoretical Framework
Citation Tracking
Content Alert Services
Evaluating Sources
Primary Sources
Secondary Sources
Tertiary Sources
What Is Scholarly vs. Popular?
Qualitative Methods
Quantitative Methods
Using Non-Textual Elements
Limitations of the Study
Common Grammar Mistakes
Avoiding Plagiarism
Footnotes or Endnotes?
Further Readings
Annotated Bibliography
Dealing with Nervousness
Using Visual Aids
Grading Someone Else's Paper
How to Manage Group Projects
Multiple Book Review Essay
Reviewing Collected Essays
About Informed Consent
Writing Field Notes
Writing a Policy Memo
Writing a Research Proposal
Acknowledgements

A research problem is a statement about an area of concern, a condition to be improved, a difficulty to be eliminated, or a troubling question that exists in scholarly literature, in theory, or in practice that points to the need for meaningful understanding and deliberate investigation. In some social science disciplines the research problem is typically posed in the form of a question. A research problem does not state how to do something, offer a vague or broad proposition, or present a value question.

Importance of...

The purpose of a problem statement is to:

Introduce the reader to the importance of the topic being studied . The reader is oriented to the significance of the study and the research questions or hypotheses to follow.
Places the problem into a particular context that defines the parameters of what is to be investigated.
Provides the framework for reporting the results and indicates what is probably necessary to conduct the study and explain how the findings will present this information.

In the social sciences, the research problem establishes the means by which you must answer the "So What?" question. The "So What?" question refers to a research problem surviving the relevancy test [the quality of a measurement procedure that provides repeatability and accuracy]. Note that answering the "So What" question requires a commitment on your part to not only show that you have researched the material, but that you have thought about its significance.

To survive the "So What" question, problem statements should possess the following attributes:

Clarity and precision [a well-written statement does not make sweeping generalizations and irresponsible statements],
Identification of what would be studied, while avoiding the use of value-laden words and terms,
Identification of an overarching question and key factors or variables,
Identification of key concepts and terms,
Articulation of the study's boundaries or parameters,
Some generalizability in regards to applicability and bringing results into general use,
Conveyance of the study's importance, benefits, and justification [regardless of the type of research, it is important to address the “so what” question by demonstrating that the research is not trivial],
Does not have unnecessary jargon; and,
Conveyance of more than the mere gathering of descriptive data providing only a snapshot of the issue or phenomenon under investigation.

Castellanos, Susie. Critical Writing and Thinking . The Writing Center. Dean of the College. Brown University; Ellis, Timothy J. and Yair Levy Nova Framework of Problem-Based Research: A Guide for Novice Researchers on the Development of a Research-Worthy Problem. Informing Science: the International Journal of an Emerging Transdiscipline 11 (2008); Thesis and Purpose Statements . The Writer’s Handbook. Writing Center. University of Wisconsin, Madison; Thesis Statements . The Writing Center. University of North Carolina; Tips and Examples for Writing Thesis Statements . The Writing Lab and The OWL. Purdue University.

Structure and Writing Style

I. Types and Content

There are four general conceptualizations of a research problem in the social sciences:

Casuist Research Problem -- this type of problem relates to the determination of right and wrong in questions of conduct or conscience by analyzing moral dilemmas through the application of general rules and the careful distinction of special cases.
Difference Research Problem -- typically asks the question, “Is there a difference between two or more groups or treatments?” This type of problem statement is used when the researcher compares or contrasts two or more phenomena.
Descriptive Research Problem -- typically asks the question, "what is...?" with the underlying purpose to describe a situation, state, or existence of a specific phenomenon.
Relational Research Problem -- suggests a relationship of some sort between two or more variables to be investigated. The underlying purpose is to investigate qualities/characteristics that are connected in some way.

A problem statement in the social sciences should contain :

A lead-in that helps ensure the reader will maintain interest over the study
A declaration of originality [e.g., mentioning a knowledge void, which would be supported by the literature review]
An indication of the central focus of the study, and
An explanation of the study's significance or the benefits to be derived from an investigating the problem.

II. Sources of Problems for Investigation

Identifying a problem to study can be challenging, not because there is a lack of issues that could be investigated, but due to pursuing a goal of formulating a socially relevant and researchable problem statement that is unique and does not simply duplicate the work of others. To facilitate how you might select a problem from which to build a research study, consider these three broad sources of inspiration:

Deductions from Theory This relates to deductions made from social philosophy or generalizations embodied in life in society that the researcher is familiar with. These deductions from human behavior are then fitted within an empirical frame of reference through research. From a theory, the research can formulate a research problem or hypothesis stating the expected findings in certain empirical situations. The research asks the question: “What relationship between variables will be observed if theory aptly summarizes the state of affairs?” One can then design and carry out a systematic investigation to assess whether empirical data confirm or reject the hypothesis and hence the theory.

Interdisciplinary Perspectives Identifying a problem that forms the basis for a research study can come from academic movements and scholarship originating in disciplines outside of your primary area of study. A review of pertinent literature should include examining research from related disciplines, which can expose you to new avenues of exploration and analysis. An interdisciplinary approach to selecting a research problem offers an opportunity to construct a more comprehensive understanding of a very complex issue than any single discipline might provide.

Interviewing Practitioners The identification of research problems about particular topics can arise from formal or informal discussions with practitioners who provide insight into new directions for future research and how to make research findings increasingly relevant to practice. Discussions with experts in the field, such as, teachers, social workers, health care providers, etc., offers the chance to identify practical, “real worl” problems that may be understudied or ignored within academic circles. This approach also provides some practical knowledge which may help in the process of designing and conducting your study.

Personal Experience Your everyday experiences can give rise to worthwhile problems for investigation. Think critically about your own experiences and/or frustrations with an issue facing society, your community, or in your neighborhood. This can be derived, for example, from deliberate observations of certain relationships for which there is no clear explanation or witnessing an event that appears harmful to a person or group or that is out of the ordinary.

Relevant Literature The selection of a research problem can often be derived from an extensive and thorough review of pertinent research associated with your overall area of interest. This may reveal where gaps remain in our understanding of a topic. Research may be conducted to: 1) fill such gaps in knowledge; 2) evaluate if the methodologies employed in prior studies can be adapted to solve other problems; or, 3) determine if a similar study could be conducted in a different subject area or applied to different study sample [i.e., different groups of people]. Also, authors frequently conclude their studies by noting implications for further research; this can also be a valuable source of problems to investigate.

III. What Makes a Good Research Statement?

A good problem statement begins by introducing the broad area in which your research is centered and then gradually leads the reader to the more narrow questions you are posing. The statement need not be lengthy but a good research problem should incorporate the following features:

Compelling topic Simple curiosity is not a good enough reason to pursue a research study. The problem that you choose to explore must be important to you and to a larger community you share. The problem chosen must be one that motivates you to address it. Supports multiple perspectives The problem most be phrased in a way that avoids dichotomies and instead supports the generation and exploration of multiple perspectives. A general rule of thumb is that a good research problem is one that would generate a variety of viewpoints from a composite audience made up of reasonable people. Researchable It seems a bit obvious, but you don't want to find yourself in the midst of investigating a complex research project and realize that you don't have much to draw on for your research. Choose research problems that can be supported by the resources available to you. Not sure? Seek out help from a librarian!

NOTE: Do not confuse a research problem with a research topic. A topic is something to read and obtain information about whereas a problem is something to solve or framed as a question that must be answered.

IV. Mistakes to Avoid

Beware of circular reasoning . Don’t state that the research problem as simply the absence of the thing you are suggesting. For example, if you propose, "The problem in this community is that it has no hospital."

This only leads to a research problem where:

The need is for a hospital
The objective is to create a hospital
The method is to plan for building a hospital, and
The evaluation is to measure if there is a hospital or not.

This is an example of a research problem that fails the "so what?" test because it does not reveal the relevance of why you are investigating the problem of having no hospital in the community [e.g., there's a hospital in the community ten miles away] and because the research problem does not elucidate the significance of why one should study the fact that no hospital exists in the community [e.g., that hospital in the community ten miles away has no emergency room].

Choosing and Refining Topics . Writing@CSU. Colorado State University; Ellis, Timothy J. and Yair Levy Nova Framework of Problem-Based Research: A Guide for Novice Researchers on the Development of a Research-Worthy Problem. Informing Science: the International Journal of an Emerging Transdiscipline 11 (2008); How to Write a Research Question . The Writing Center. George Mason University; Invention: Developing a Thesis Statement . The Reading/Writing Center. Hunter College; Problem Statements PowerPoint Presentation . The Writing Lab and The OWL. Purdue University; Procter, Margaret. Using Thesis Statements . University College Writing Centre. University of Toronto; Trochim, William M.K. Problem Formulation . Research Methods Knowledge Base. 2006; Thesis and Purpose Statements . The Writer’s Handbook. Writing Center. University of Wisconsin, Madison; Thesis Statements . The Writing Center. University of North Carolina; Tips and Examples for Writing Thesis Statements . The Writing Lab and The OWL. Purdue University.

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1000+ FREE Research Topics & Title Ideas

If you’re at the start of your research journey and are trying to figure out which research topic you want to focus on, you’ve come to the right place. Select your area of interest below to view a comprehensive collection of potential research ideas.

Research Topic FAQs

What (exactly) is a research topic.

A research topic is the subject of a research project or study – for example, a dissertation or thesis. A research topic typically takes the form of a problem to be solved, or a question to be answered.

A good research topic should be specific enough to allow for focused research and analysis. For example, if you are interested in studying the effects of climate change on agriculture, your research topic could focus on how rising temperatures have impacted crop yields in certain regions over time.

To learn more about the basics of developing a research topic, consider our free research topic ideation webinar.

What constitutes a good research topic?

A strong research topic comprises three important qualities : originality, value and feasibility.

Originality – a good topic explores an original area or takes a novel angle on an existing area of study.
Value – a strong research topic provides value and makes a contribution, either academically or practically.
Feasibility – a good research topic needs to be practical and manageable, given the resource constraints you face.

To learn more about what makes for a high-quality research topic, check out this post .

What's the difference between a research topic and research problem?

A research topic and a research problem are two distinct concepts that are often confused. A research topic is a broader label that indicates the focus of the study , while a research problem is an issue or gap in knowledge within the broader field that needs to be addressed.

To illustrate this distinction, consider a student who has chosen “teenage pregnancy in the United Kingdom” as their research topic. This research topic could encompass any number of issues related to teenage pregnancy such as causes, prevention strategies, health outcomes for mothers and babies, etc.

Within this broad category (the research topic) lies potential areas of inquiry that can be explored further – these become the research problems . For example:

What factors contribute to higher rates of teenage pregnancy in certain communities?
How do different types of parenting styles affect teen pregnancy rates?
What interventions have been successful in reducing teenage pregnancies?

Simply put, a key difference between a research topic and a research problem is scope ; the research topic provides an umbrella under which multiple questions can be asked, while the research problem focuses on one specific question or set of questions within that larger context.

How can I find potential research topics for my project?

There are many steps involved in the process of finding and choosing a high-quality research topic for a dissertation or thesis. We cover these steps in detail in this video (also accessible below).

How can I find quality sources for my research topic?

Finding quality sources is an essential step in the topic ideation process. To do this, you should start by researching scholarly journals, books, and other academic publications related to your topic. These sources can provide reliable information on a wide range of topics. Additionally, they may contain data or statistics that can help support your argument or conclusions.

Identifying Relevant Sources

When searching for relevant sources, it’s important to look beyond just published material; try using online databases such as Google Scholar or JSTOR to find articles from reputable journals that have been peer-reviewed by experts in the field.

You can also use search engines like Google or Bing to locate websites with useful information about your topic. However, be sure to evaluate any website before citing it as a source—look for evidence of authorship (such as an “About Us” page) and make sure the content is up-to-date and accurate before relying on it.

Evaluating Sources

Once you’ve identified potential sources for your research project, take some time to evaluate them thoroughly before deciding which ones will best serve your purpose. Consider factors such as author credibility (are they an expert in their field?), publication date (is the source current?), objectivity (does the author present both sides of an issue?) and relevance (how closely does this source relate to my specific topic?).

By researching the current literature on your topic, you can identify potential sources that will help to provide quality information. Once you’ve identified these sources, it’s time to look for a gap in the research and determine what new knowledge could be gained from further study.

How can I find a good research gap?

Finding a strong gap in the literature is an essential step when looking for potential research topics. We explain what research gaps are and how to find them in this post.

How should I evaluate potential research topics/ideas?

When evaluating potential research topics, it is important to consider the factors that make for a strong topic (we discussed these earlier). Specifically:

Originality
Feasibility

So, when you have a list of potential topics or ideas, assess each of them in terms of these three criteria. A good topic should take a unique angle, provide value (either to academia or practitioners), and be practical enough for you to pull off, given your limited resources.

Finally, you should also assess whether this project could lead to potential career opportunities such as internships or job offers down the line. Make sure that you are researching something that is relevant enough so that it can benefit your professional development in some way. Additionally, consider how each research topic aligns with your career goals and interests; researching something that you are passionate about can help keep motivation high throughout the process.

How can I assess the feasibility of a research topic?

When evaluating the feasibility and practicality of a research topic, it is important to consider several factors.

First, you should assess whether or not the research topic is within your area of competence. Of course, when you start out, you are not expected to be the world’s leading expert, but do should at least have some foundational knowledge.

Time commitment

When considering a research topic, you should think about how much time will be required for completion. Depending on your field of study, some topics may require more time than others due to their complexity or scope.

Additionally, if you plan on collaborating with other researchers or institutions in order to complete your project, additional considerations must be taken into account such as coordinating schedules and ensuring that all parties involved have adequate resources available.

Resources needed

It’s also critically important to consider what type of resources are necessary in order to conduct the research successfully. This includes physical materials such as lab equipment and chemicals but can also include intangible items like access to certain databases or software programs which may be necessary depending on the nature of your work. Additionally, if there are costs associated with obtaining these materials then this must also be factored into your evaluation process.

Potential risks

It’s important to consider the inherent potential risks for each potential research topic. These can include ethical risks (challenges getting ethical approval), data risks (not being able to access the data you’ll need), technical risks relating to the equipment you’ll use and funding risks (not securing the necessary financial back to undertake the research).

If you’re looking for more information about how to find, evaluate and select research topics for your dissertation or thesis, check out our free webinar here . Alternatively, if you’d like 1:1 help with the topic ideation process, consider our private coaching services .

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

What Is Research, and Why Do People Do It?

Open Access
First Online: 03 December 2022

Cite this chapter

You have full access to this open access chapter

James Hiebert 6 ,
Jinfa Cai 7 ,
Stephen Hwang 7 ,
Anne K Morris 6 &
Charles Hohensee 6

Part of the book series: Research in Mathematics Education ((RME))

18k Accesses

Abstractspiepr Abs1

Every day people do research as they gather information to learn about something of interest. In the scientific world, however, research means something different than simply gathering information. Scientific research is characterized by its careful planning and observing, by its relentless efforts to understand and explain, and by its commitment to learn from everyone else seriously engaged in research. We call this kind of research scientific inquiry and define it as “formulating, testing, and revising hypotheses.” By “hypotheses” we do not mean the hypotheses you encounter in statistics courses. We mean predictions about what you expect to find and rationales for why you made these predictions. Throughout this and the remaining chapters we make clear that the process of scientific inquiry applies to all kinds of research studies and data, both qualitative and quantitative.

You have full access to this open access chapter, Download chapter PDF

Part I. What Is Research?

Have you ever studied something carefully because you wanted to know more about it? Maybe you wanted to know more about your grandmother’s life when she was younger so you asked her to tell you stories from her childhood, or maybe you wanted to know more about a fertilizer you were about to use in your garden so you read the ingredients on the package and looked them up online. According to the dictionary definition, you were doing research.

Recall your high school assignments asking you to “research” a topic. The assignment likely included consulting a variety of sources that discussed the topic, perhaps including some “original” sources. Often, the teacher referred to your product as a “research paper.”

Were you conducting research when you interviewed your grandmother or wrote high school papers reviewing a particular topic? Our view is that you were engaged in part of the research process, but only a small part. In this book, we reserve the word “research” for what it means in the scientific world, that is, for scientific research or, more pointedly, for scientific inquiry .

Exercise 1.1

Before you read any further, write a definition of what you think scientific inquiry is. Keep it short—Two to three sentences. You will periodically update this definition as you read this chapter and the remainder of the book.

This book is about scientific inquiry—what it is and how to do it. For starters, scientific inquiry is a process, a particular way of finding out about something that involves a number of phases. Each phase of the process constitutes one aspect of scientific inquiry. You are doing scientific inquiry as you engage in each phase, but you have not done scientific inquiry until you complete the full process. Each phase is necessary but not sufficient.

In this chapter, we set the stage by defining scientific inquiry—describing what it is and what it is not—and by discussing what it is good for and why people do it. The remaining chapters build directly on the ideas presented in this chapter.

A first thing to know is that scientific inquiry is not all or nothing. “Scientificness” is a continuum. Inquiries can be more scientific or less scientific. What makes an inquiry more scientific? You might be surprised there is no universally agreed upon answer to this question. None of the descriptors we know of are sufficient by themselves to define scientific inquiry. But all of them give you a way of thinking about some aspects of the process of scientific inquiry. Each one gives you different insights.

An image of the book's description with the words like research, science, and inquiry and what the word research meant in the scientific world.

Exercise 1.2

As you read about each descriptor below, think about what would make an inquiry more or less scientific. If you think a descriptor is important, use it to revise your definition of scientific inquiry.

Creating an Image of Scientific Inquiry

We will present three descriptors of scientific inquiry. Each provides a different perspective and emphasizes a different aspect of scientific inquiry. We will draw on all three descriptors to compose our definition of scientific inquiry.

Descriptor 1. Experience Carefully Planned in Advance

Sir Ronald Fisher, often called the father of modern statistical design, once referred to research as “experience carefully planned in advance” (1935, p. 8). He said that humans are always learning from experience, from interacting with the world around them. Usually, this learning is haphazard rather than the result of a deliberate process carried out over an extended period of time. Research, Fisher said, was learning from experience, but experience carefully planned in advance.

This phrase can be fully appreciated by looking at each word. The fact that scientific inquiry is based on experience means that it is based on interacting with the world. These interactions could be thought of as the stuff of scientific inquiry. In addition, it is not just any experience that counts. The experience must be carefully planned . The interactions with the world must be conducted with an explicit, describable purpose, and steps must be taken to make the intended learning as likely as possible. This planning is an integral part of scientific inquiry; it is not just a preparation phase. It is one of the things that distinguishes scientific inquiry from many everyday learning experiences. Finally, these steps must be taken beforehand and the purpose of the inquiry must be articulated in advance of the experience. Clearly, scientific inquiry does not happen by accident, by just stumbling into something. Stumbling into something unexpected and interesting can happen while engaged in scientific inquiry, but learning does not depend on it and serendipity does not make the inquiry scientific.

Descriptor 2. Observing Something and Trying to Explain Why It Is the Way It Is

When we were writing this chapter and googled “scientific inquiry,” the first entry was: “Scientific inquiry refers to the diverse ways in which scientists study the natural world and propose explanations based on the evidence derived from their work.” The emphasis is on studying, or observing, and then explaining . This descriptor takes the image of scientific inquiry beyond carefully planned experience and includes explaining what was experienced.

According to the Merriam-Webster dictionary, “explain” means “(a) to make known, (b) to make plain or understandable, (c) to give the reason or cause of, and (d) to show the logical development or relations of” (Merriam-Webster, n.d. ). We will use all these definitions. Taken together, they suggest that to explain an observation means to understand it by finding reasons (or causes) for why it is as it is. In this sense of scientific inquiry, the following are synonyms: explaining why, understanding why, and reasoning about causes and effects. Our image of scientific inquiry now includes planning, observing, and explaining why.

An image represents the observation required in the scientific inquiry including planning and explaining.

We need to add a final note about this descriptor. We have phrased it in a way that suggests “observing something” means you are observing something in real time—observing the way things are or the way things are changing. This is often true. But, observing could mean observing data that already have been collected, maybe by someone else making the original observations (e.g., secondary analysis of NAEP data or analysis of existing video recordings of classroom instruction). We will address secondary analyses more fully in Chap. 4 . For now, what is important is that the process requires explaining why the data look like they do.

We must note that for us, the term “data” is not limited to numerical or quantitative data such as test scores. Data can also take many nonquantitative forms, including written survey responses, interview transcripts, journal entries, video recordings of students, teachers, and classrooms, text messages, and so forth.

An image represents the data explanation as it is not limited and takes numerous non-quantitative forms including an interview, journal entries, etc.

Exercise 1.3

What are the implications of the statement that just “observing” is not enough to count as scientific inquiry? Does this mean that a detailed description of a phenomenon is not scientific inquiry?

Find sources that define research in education that differ with our position, that say description alone, without explanation, counts as scientific research. Identify the precise points where the opinions differ. What are the best arguments for each of the positions? Which do you prefer? Why?

Descriptor 3. Updating Everyone’s Thinking in Response to More and Better Information

This descriptor focuses on a third aspect of scientific inquiry: updating and advancing the field’s understanding of phenomena that are investigated. This descriptor foregrounds a powerful characteristic of scientific inquiry: the reliability (or trustworthiness) of what is learned and the ultimate inevitability of this learning to advance human understanding of phenomena. Humans might choose not to learn from scientific inquiry, but history suggests that scientific inquiry always has the potential to advance understanding and that, eventually, humans take advantage of these new understandings.

Before exploring these bold claims a bit further, note that this descriptor uses “information” in the same way the previous two descriptors used “experience” and “observations.” These are the stuff of scientific inquiry and we will use them often, sometimes interchangeably. Frequently, we will use the term “data” to stand for all these terms.

An overriding goal of scientific inquiry is for everyone to learn from what one scientist does. Much of this book is about the methods you need to use so others have faith in what you report and can learn the same things you learned. This aspect of scientific inquiry has many implications.

One implication is that scientific inquiry is not a private practice. It is a public practice available for others to see and learn from. Notice how different this is from everyday learning. When you happen to learn something from your everyday experience, often only you gain from the experience. The fact that research is a public practice means it is also a social one. It is best conducted by interacting with others along the way: soliciting feedback at each phase, taking opportunities to present work-in-progress, and benefitting from the advice of others.

A second implication is that you, as the researcher, must be committed to sharing what you are doing and what you are learning in an open and transparent way. This allows all phases of your work to be scrutinized and critiqued. This is what gives your work credibility. The reliability or trustworthiness of your findings depends on your colleagues recognizing that you have used all appropriate methods to maximize the chances that your claims are justified by the data.

A third implication of viewing scientific inquiry as a collective enterprise is the reverse of the second—you must be committed to receiving comments from others. You must treat your colleagues as fair and honest critics even though it might sometimes feel otherwise. You must appreciate their job, which is to remain skeptical while scrutinizing what you have done in considerable detail. To provide the best help to you, they must remain skeptical about your conclusions (when, for example, the data are difficult for them to interpret) until you offer a convincing logical argument based on the information you share. A rather harsh but good-to-remember statement of the role of your friendly critics was voiced by Karl Popper, a well-known twentieth century philosopher of science: “. . . if you are interested in the problem which I tried to solve by my tentative assertion, you may help me by criticizing it as severely as you can” (Popper, 1968, p. 27).

A final implication of this third descriptor is that, as someone engaged in scientific inquiry, you have no choice but to update your thinking when the data support a different conclusion. This applies to your own data as well as to those of others. When data clearly point to a specific claim, even one that is quite different than you expected, you must reconsider your position. If the outcome is replicated multiple times, you need to adjust your thinking accordingly. Scientific inquiry does not let you pick and choose which data to believe; it mandates that everyone update their thinking when the data warrant an update.

Doing Scientific Inquiry

We define scientific inquiry in an operational sense—what does it mean to do scientific inquiry? What kind of process would satisfy all three descriptors: carefully planning an experience in advance; observing and trying to explain what you see; and, contributing to updating everyone’s thinking about an important phenomenon?

We define scientific inquiry as formulating , testing , and revising hypotheses about phenomena of interest.

Of course, we are not the only ones who define it in this way. The definition for the scientific method posted by the editors of Britannica is: “a researcher develops a hypothesis, tests it through various means, and then modifies the hypothesis on the basis of the outcome of the tests and experiments” (Britannica, n.d. ).

An image represents the scientific inquiry definition given by the editors of Britannica and also defines the hypothesis on the basis of the experiments.

Notice how defining scientific inquiry this way satisfies each of the descriptors. “Carefully planning an experience in advance” is exactly what happens when formulating a hypothesis about a phenomenon of interest and thinking about how to test it. “ Observing a phenomenon” occurs when testing a hypothesis, and “ explaining ” what is found is required when revising a hypothesis based on the data. Finally, “updating everyone’s thinking” comes from comparing publicly the original with the revised hypothesis.

Doing scientific inquiry, as we have defined it, underscores the value of accumulating knowledge rather than generating random bits of knowledge. Formulating, testing, and revising hypotheses is an ongoing process, with each revised hypothesis begging for another test, whether by the same researcher or by new researchers. The editors of Britannica signaled this cyclic process by adding the following phrase to their definition of the scientific method: “The modified hypothesis is then retested, further modified, and tested again.” Scientific inquiry creates a process that encourages each study to build on the studies that have gone before. Through collective engagement in this process of building study on top of study, the scientific community works together to update its thinking.

Before exploring more fully the meaning of “formulating, testing, and revising hypotheses,” we need to acknowledge that this is not the only way researchers define research. Some researchers prefer a less formal definition, one that includes more serendipity, less planning, less explanation. You might have come across more open definitions such as “research is finding out about something.” We prefer the tighter hypothesis formulation, testing, and revision definition because we believe it provides a single, coherent map for conducting research that addresses many of the thorny problems educational researchers encounter. We believe it is the most useful orientation toward research and the most helpful to learn as a beginning researcher.

A final clarification of our definition is that it applies equally to qualitative and quantitative research. This is a familiar distinction in education that has generated much discussion. You might think our definition favors quantitative methods over qualitative methods because the language of hypothesis formulation and testing is often associated with quantitative methods. In fact, we do not favor one method over another. In Chap. 4 , we will illustrate how our definition fits research using a range of quantitative and qualitative methods.

Exercise 1.4

Look for ways to extend what the field knows in an area that has already received attention by other researchers. Specifically, you can search for a program of research carried out by more experienced researchers that has some revised hypotheses that remain untested. Identify a revised hypothesis that you might like to test.

Unpacking the Terms Formulating, Testing, and Revising Hypotheses

To get a full sense of the definition of scientific inquiry we will use throughout this book, it is helpful to spend a little time with each of the key terms.

We first want to make clear that we use the term “hypothesis” as it is defined in most dictionaries and as it used in many scientific fields rather than as it is usually defined in educational statistics courses. By “hypothesis,” we do not mean a null hypothesis that is accepted or rejected by statistical analysis. Rather, we use “hypothesis” in the sense conveyed by the following definitions: “An idea or explanation for something that is based on known facts but has not yet been proved” (Cambridge University Press, n.d. ), and “An unproved theory, proposition, or supposition, tentatively accepted to explain certain facts and to provide a basis for further investigation or argument” (Agnes & Guralnik, 2008 ).

We distinguish two parts to “hypotheses.” Hypotheses consist of predictions and rationales . Predictions are statements about what you expect to find when you inquire about something. Rationales are explanations for why you made the predictions you did, why you believe your predictions are correct. So, for us “formulating hypotheses” means making explicit predictions and developing rationales for the predictions.

“Testing hypotheses” means making observations that allow you to assess in what ways your predictions were correct and in what ways they were incorrect. In education research, it is rarely useful to think of your predictions as either right or wrong. Because of the complexity of most issues you will investigate, most predictions will be right in some ways and wrong in others.

By studying the observations you make (data you collect) to test your hypotheses, you can revise your hypotheses to better align with the observations. This means revising your predictions plus revising your rationales to justify your adjusted predictions. Even though you might not run another test, formulating revised hypotheses is an essential part of conducting a research study. Comparing your original and revised hypotheses informs everyone of what you learned by conducting your study. In addition, a revised hypothesis sets the stage for you or someone else to extend your study and accumulate more knowledge of the phenomenon.

We should note that not everyone makes a clear distinction between predictions and rationales as two aspects of hypotheses. In fact, common, non-scientific uses of the word “hypothesis” may limit it to only a prediction or only an explanation (or rationale). We choose to explicitly include both prediction and rationale in our definition of hypothesis, not because we assert this should be the universal definition, but because we want to foreground the importance of both parts acting in concert. Using “hypothesis” to represent both prediction and rationale could hide the two aspects, but we make them explicit because they provide different kinds of information. It is usually easier to make predictions than develop rationales because predictions can be guesses, hunches, or gut feelings about which you have little confidence. Developing a compelling rationale requires careful thought plus reading what other researchers have found plus talking with your colleagues. Often, while you are developing your rationale you will find good reasons to change your predictions. Developing good rationales is the engine that drives scientific inquiry. Rationales are essentially descriptions of how much you know about the phenomenon you are studying. Throughout this guide, we will elaborate on how developing good rationales drives scientific inquiry. For now, we simply note that it can sharpen your predictions and help you to interpret your data as you test your hypotheses.

An image represents the rationale and the prediction for the scientific inquiry and different types of information provided by the terms.

Hypotheses in education research take a variety of forms or types. This is because there are a variety of phenomena that can be investigated. Investigating educational phenomena is sometimes best done using qualitative methods, sometimes using quantitative methods, and most often using mixed methods (e.g., Hay, 2016 ; Weis et al. 2019a ; Weisner, 2005 ). This means that, given our definition, hypotheses are equally applicable to qualitative and quantitative investigations.

Hypotheses take different forms when they are used to investigate different kinds of phenomena. Two very different activities in education could be labeled conducting experiments and descriptions. In an experiment, a hypothesis makes a prediction about anticipated changes, say the changes that occur when a treatment or intervention is applied. You might investigate how students’ thinking changes during a particular kind of instruction.

A second type of hypothesis, relevant for descriptive research, makes a prediction about what you will find when you investigate and describe the nature of a situation. The goal is to understand a situation as it exists rather than to understand a change from one situation to another. In this case, your prediction is what you expect to observe. Your rationale is the set of reasons for making this prediction; it is your current explanation for why the situation will look like it does.

You will probably read, if you have not already, that some researchers say you do not need a prediction to conduct a descriptive study. We will discuss this point of view in Chap. 2 . For now, we simply claim that scientific inquiry, as we have defined it, applies to all kinds of research studies. Descriptive studies, like others, not only benefit from formulating, testing, and revising hypotheses, but also need hypothesis formulating, testing, and revising.

One reason we define research as formulating, testing, and revising hypotheses is that if you think of research in this way you are less likely to go wrong. It is a useful guide for the entire process, as we will describe in detail in the chapters ahead. For example, as you build the rationale for your predictions, you are constructing the theoretical framework for your study (Chap. 3 ). As you work out the methods you will use to test your hypothesis, every decision you make will be based on asking, “Will this help me formulate or test or revise my hypothesis?” (Chap. 4 ). As you interpret the results of testing your predictions, you will compare them to what you predicted and examine the differences, focusing on how you must revise your hypotheses (Chap. 5 ). By anchoring the process to formulating, testing, and revising hypotheses, you will make smart decisions that yield a coherent and well-designed study.

Exercise 1.5

Compare the concept of formulating, testing, and revising hypotheses with the descriptions of scientific inquiry contained in Scientific Research in Education (NRC, 2002 ). How are they similar or different?

Exercise 1.6

Provide an example to illustrate and emphasize the differences between everyday learning/thinking and scientific inquiry.

Learning from Doing Scientific Inquiry

We noted earlier that a measure of what you have learned by conducting a research study is found in the differences between your original hypothesis and your revised hypothesis based on the data you collected to test your hypothesis. We will elaborate this statement in later chapters, but we preview our argument here.

Even before collecting data, scientific inquiry requires cycles of making a prediction, developing a rationale, refining your predictions, reading and studying more to strengthen your rationale, refining your predictions again, and so forth. And, even if you have run through several such cycles, you still will likely find that when you test your prediction you will be partly right and partly wrong. The results will support some parts of your predictions but not others, or the results will “kind of” support your predictions. A critical part of scientific inquiry is making sense of your results by interpreting them against your predictions. Carefully describing what aspects of your data supported your predictions, what aspects did not, and what data fell outside of any predictions is not an easy task, but you cannot learn from your study without doing this analysis.

An image represents the cycle of events that take place before making predictions, developing the rationale, and studying the prediction and rationale multiple times.

Analyzing the matches and mismatches between your predictions and your data allows you to formulate different rationales that would have accounted for more of the data. The best revised rationale is the one that accounts for the most data. Once you have revised your rationales, you can think about the predictions they best justify or explain. It is by comparing your original rationales to your new rationales that you can sort out what you learned from your study.

Suppose your study was an experiment. Maybe you were investigating the effects of a new instructional intervention on students’ learning. Your original rationale was your explanation for why the intervention would change the learning outcomes in a particular way. Your revised rationale explained why the changes that you observed occurred like they did and why your revised predictions are better. Maybe your original rationale focused on the potential of the activities if they were implemented in ideal ways and your revised rationale included the factors that are likely to affect how teachers implement them. By comparing the before and after rationales, you are describing what you learned—what you can explain now that you could not before. Another way of saying this is that you are describing how much more you understand now than before you conducted your study.

Revised predictions based on carefully planned and collected data usually exhibit some of the following features compared with the originals: more precision, more completeness, and broader scope. Revised rationales have more explanatory power and become more complete, more aligned with the new predictions, sharper, and overall more convincing.

Part II. Why Do Educators Do Research?

Doing scientific inquiry is a lot of work. Each phase of the process takes time, and you will often cycle back to improve earlier phases as you engage in later phases. Because of the significant effort required, you should make sure your study is worth it. So, from the beginning, you should think about the purpose of your study. Why do you want to do it? And, because research is a social practice, you should also think about whether the results of your study are likely to be important and significant to the education community.

If you are doing research in the way we have described—as scientific inquiry—then one purpose of your study is to understand , not just to describe or evaluate or report. As we noted earlier, when you formulate hypotheses, you are developing rationales that explain why things might be like they are. In our view, trying to understand and explain is what separates research from other kinds of activities, like evaluating or describing.

One reason understanding is so important is that it allows researchers to see how or why something works like it does. When you see how something works, you are better able to predict how it might work in other contexts, under other conditions. And, because conditions, or contextual factors, matter a lot in education, gaining insights into applying your findings to other contexts increases the contributions of your work and its importance to the broader education community.

Consequently, the purposes of research studies in education often include the more specific aim of identifying and understanding the conditions under which the phenomena being studied work like the observations suggest. A classic example of this kind of study in mathematics education was reported by William Brownell and Harold Moser in 1949 . They were trying to establish which method of subtracting whole numbers could be taught most effectively—the regrouping method or the equal additions method. However, they realized that effectiveness might depend on the conditions under which the methods were taught—“meaningfully” versus “mechanically.” So, they designed a study that crossed the two instructional approaches with the two different methods (regrouping and equal additions). Among other results, they found that these conditions did matter. The regrouping method was more effective under the meaningful condition than the mechanical condition, but the same was not true for the equal additions algorithm.

What do education researchers want to understand? In our view, the ultimate goal of education is to offer all students the best possible learning opportunities. So, we believe the ultimate purpose of scientific inquiry in education is to develop understanding that supports the improvement of learning opportunities for all students. We say “ultimate” because there are lots of issues that must be understood to improve learning opportunities for all students. Hypotheses about many aspects of education are connected, ultimately, to students’ learning. For example, formulating and testing a hypothesis that preservice teachers need to engage in particular kinds of activities in their coursework in order to teach particular topics well is, ultimately, connected to improving students’ learning opportunities. So is hypothesizing that school districts often devote relatively few resources to instructional leadership training or hypothesizing that positioning mathematics as a tool students can use to combat social injustice can help students see the relevance of mathematics to their lives.

We do not exclude the importance of research on educational issues more removed from improving students’ learning opportunities, but we do think the argument for their importance will be more difficult to make. If there is no way to imagine a connection between your hypothesis and improving learning opportunities for students, even a distant connection, we recommend you reconsider whether it is an important hypothesis within the education community.

Notice that we said the ultimate goal of education is to offer all students the best possible learning opportunities. For too long, educators have been satisfied with a goal of offering rich learning opportunities for lots of students, sometimes even for just the majority of students, but not necessarily for all students. Evaluations of success often are based on outcomes that show high averages. In other words, if many students have learned something, or even a smaller number have learned a lot, educators may have been satisfied. The problem is that there is usually a pattern in the groups of students who receive lower quality opportunities—students of color and students who live in poor areas, urban and rural. This is not acceptable. Consequently, we emphasize the premise that the purpose of education research is to offer rich learning opportunities to all students.

One way to make sure you will be able to convince others of the importance of your study is to consider investigating some aspect of teachers’ shared instructional problems. Historically, researchers in education have set their own research agendas, regardless of the problems teachers are facing in schools. It is increasingly recognized that teachers have had trouble applying to their own classrooms what researchers find. To address this problem, a researcher could partner with a teacher—better yet, a small group of teachers—and talk with them about instructional problems they all share. These discussions can create a rich pool of problems researchers can consider. If researchers pursued one of these problems (preferably alongside teachers), the connection to improving learning opportunities for all students could be direct and immediate. “Grounding a research question in instructional problems that are experienced across multiple teachers’ classrooms helps to ensure that the answer to the question will be of sufficient scope to be relevant and significant beyond the local context” (Cai et al., 2019b , p. 115).

As a beginning researcher, determining the relevance and importance of a research problem is especially challenging. We recommend talking with advisors, other experienced researchers, and peers to test the educational importance of possible research problems and topics of study. You will also learn much more about the issue of research importance when you read Chap. 5 .

Exercise 1.7

Identify a problem in education that is closely connected to improving learning opportunities and a problem that has a less close connection. For each problem, write a brief argument (like a logical sequence of if-then statements) that connects the problem to all students’ learning opportunities.

Part III. Conducting Research as a Practice of Failing Productively

Scientific inquiry involves formulating hypotheses about phenomena that are not fully understood—by you or anyone else. Even if you are able to inform your hypotheses with lots of knowledge that has already been accumulated, you are likely to find that your prediction is not entirely accurate. This is normal. Remember, scientific inquiry is a process of constantly updating your thinking. More and better information means revising your thinking, again, and again, and again. Because you never fully understand a complicated phenomenon and your hypotheses never produce completely accurate predictions, it is easy to believe you are somehow failing.

The trick is to fail upward, to fail to predict accurately in ways that inform your next hypothesis so you can make a better prediction. Some of the best-known researchers in education have been open and honest about the many times their predictions were wrong and, based on the results of their studies and those of others, they continuously updated their thinking and changed their hypotheses.

A striking example of publicly revising (actually reversing) hypotheses due to incorrect predictions is found in the work of Lee J. Cronbach, one of the most distinguished educational psychologists of the twentieth century. In 1955, Cronbach delivered his presidential address to the American Psychological Association. Titling it “Two Disciplines of Scientific Psychology,” Cronbach proposed a rapprochement between two research approaches—correlational studies that focused on individual differences and experimental studies that focused on instructional treatments controlling for individual differences. (We will examine different research approaches in Chap. 4 ). If these approaches could be brought together, reasoned Cronbach ( 1957 ), researchers could find interactions between individual characteristics and treatments (aptitude-treatment interactions or ATIs), fitting the best treatments to different individuals.

In 1975, after years of research by many researchers looking for ATIs, Cronbach acknowledged the evidence for simple, useful ATIs had not been found. Even when trying to find interactions between a few variables that could provide instructional guidance, the analysis, said Cronbach, creates “a hall of mirrors that extends to infinity, tormenting even the boldest investigators and defeating even ambitious designs” (Cronbach, 1975 , p. 119).

As he was reflecting back on his work, Cronbach ( 1986 ) recommended moving away from documenting instructional effects through statistical inference (an approach he had championed for much of his career) and toward approaches that probe the reasons for these effects, approaches that provide a “full account of events in a time, place, and context” (Cronbach, 1986 , p. 104). This is a remarkable change in hypotheses, a change based on data and made fully transparent. Cronbach understood the value of failing productively.

Closer to home, in a less dramatic example, one of us began a line of scientific inquiry into how to prepare elementary preservice teachers to teach early algebra. Teaching early algebra meant engaging elementary students in early forms of algebraic reasoning. Such reasoning should help them transition from arithmetic to algebra. To begin this line of inquiry, a set of activities for preservice teachers were developed. Even though the activities were based on well-supported hypotheses, they largely failed to engage preservice teachers as predicted because of unanticipated challenges the preservice teachers faced. To capitalize on this failure, follow-up studies were conducted, first to better understand elementary preservice teachers’ challenges with preparing to teach early algebra, and then to better support preservice teachers in navigating these challenges. In this example, the initial failure was a necessary step in the researchers’ scientific inquiry and furthered the researchers’ understanding of this issue.

We present another example of failing productively in Chap. 2 . That example emerges from recounting the history of a well-known research program in mathematics education.

Making mistakes is an inherent part of doing scientific research. Conducting a study is rarely a smooth path from beginning to end. We recommend that you keep the following things in mind as you begin a career of conducting research in education.

First, do not get discouraged when you make mistakes; do not fall into the trap of feeling like you are not capable of doing research because you make too many errors.

Second, learn from your mistakes. Do not ignore your mistakes or treat them as errors that you simply need to forget and move past. Mistakes are rich sites for learning—in research just as in other fields of study.

Third, by reflecting on your mistakes, you can learn to make better mistakes, mistakes that inform you about a productive next step. You will not be able to eliminate your mistakes, but you can set a goal of making better and better mistakes.

Exercise 1.8

How does scientific inquiry differ from everyday learning in giving you the tools to fail upward? You may find helpful perspectives on this question in other resources on science and scientific inquiry (e.g., Failure: Why Science is So Successful by Firestein, 2015).

Exercise 1.9

Use what you have learned in this chapter to write a new definition of scientific inquiry. Compare this definition with the one you wrote before reading this chapter. If you are reading this book as part of a course, compare your definition with your colleagues’ definitions. Develop a consensus definition with everyone in the course.

Part IV. Preview of Chap. 2

Now that you have a good idea of what research is, at least of what we believe research is, the next step is to think about how to actually begin doing research. This means how to begin formulating, testing, and revising hypotheses. As for all phases of scientific inquiry, there are lots of things to think about. Because it is critical to start well, we devote Chap. 2 to getting started with formulating hypotheses.

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Hiebert, J., Cai, J., Hwang, S., Morris, A.K., Hohensee, C. (2023). What Is Research, and Why Do People Do It?. In: Doing Research: A New Researcher’s Guide. Research in Mathematics Education. Springer, Cham. https://doi.org/10.1007/978-3-031-19078-0_1

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The sydney student who uncovered a ‘shocking’ problem with global cancer research, by angus dalton, save articles for later.

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Examine, a free weekly newsletter covering science with a sceptical, evidence-based eye, is sent every Tuesday. You’re reading an excerpt – Sign up to get the whole newsletter in your inbox .

Modern medicine stands on the shoulders of Henrietta Lacks, a woman who, in January 1951, presented to Johns Hopkins Hospital for cervical cancer treatment because it was one of the few places in Baltimore that would treat African American patients.

Lacks died shortly after but not before physicians, without her knowledge or consent, harvested a biopsy of her tumour. When researchers cultured the cancerous cells, they found something astonishing: the cells kept replicating.

HeLa cells were the first-ever cell line established outside the body and have underpinned countless medical discoveries since 1951. Credit: AP

The sample became the first “immortalised” cell line: collections of cells grown outside the body. These cells would become the bedrock of medical research. Before a medicine becomes a miracle drug, for example, it’s tested on cell lines such as this to gather evidence for safety and efficacy before the research progresses to animal or human trials.

Named “HeLa” from Lacks’ first and last names, that first cell line has been fundamental to the scientific study of polio, HIV, cancer, blood disorders, ebola and COVID-19.

Many other cell lines representing hundreds of cancers and tissues have been established since HeLa.

But when a Sydney undergraduate began poking through academic papers depending on this cellular research, she discovered something shocking: for a number of cell lines referenced in cancer research and drug discovery papers, and even vaunted scientific literature reviews, there was no evidence at all that the cells had ever existed.

Misspelled or missing entirely?

“I’ve been pretty intrigued and depressed and interested in this all at the same time,” says Danielle Oste, an animal science student at the University of Sydney who stumbled across the non-verifiable cell lines during an undergraduate project.

In two papers Oste and her group were analysing, guided by research integrity detective Professor Jennifer Byrne and PhD student Pranujan Pathmendra, they stumbled across five cell line names they couldn’t verify. Cross-checking cell lines used in experiments should be easy using a comprehensive online encyclopedia called Cellosaurus.

“When we found these five [non-verifiable cell lines], I just remember the Cellosaurus page coming up saying, ‘no results’, and thinking like, what? What do you mean? No results, how?”

Danielle Oste, who’s finishing off her animal science degree at the University of Sydney, travelled to Athens to present at a conference on research integrity. Credit: Danielle Oste

Byrne called Oste back to continue research on the issue, outside of class. They found more phantom cell lines – 23 in total – and zeroed in on seven that have been referred to across hundreds of papers.

These cell lines weren’t in Cellosaurus. There were no previous papers that described how the cells were established. They were missing genetic identification markers. And, although some researchers claimed they had obtained the cells from repositories (online stores for lab ingredients), Byrne and Oste couldn’t find them listed in catalogues.

Some of the missing cell lines may be the result of human error, such as researchers misspelling cell line names. But misspelling alone cannot explain the phenomenon in more than half of the 420 papers they analysed, the researchers say.

“I know it sounds terrible, but I don’t think these cell lines exist,” Byrne says. “We think we’ve discovered the tip of a much larger problem in the scientific literature.”

Why does it matter?

The existence of these phantom cell lines is chilling because it undermines critical medical research. Scientists need to be able to reproduce and verify each other’s work or look at results from cells and feel confident trying to reproduce the results in real organisms or humans.

“The concern that I have is that many laboratory researchers are actually out there possibly trying to reproduce experiments that never existed,” Byrne says.

“How do you reproduce an experimental result in a cell line if you cannot get hold of that cell line? The answer is: you can’t.”

The missing cell lines have also contaminated literature reviews, the gold standard of scientific evidence that collate hundreds of studies to draw robust and reliable conclusions. As unwitting scientists refer to studies with unverifiable cell lines, the cell lines get ironed into the literature and infect our understanding of human biology itself.

Professor Jennifer Byrne, a cancer expert and research integrity sleuth at the University of Sydney. Credit: Wolter Peeters

“The reach of cell lines forward into the literature is very long because they’re these foundational models that everyone uses at the start,” Byrne says. “If the foundation is rotten, then what you can build on that is not going to hold.”

Calling out the specific authors who used these non-verifiable cell lines was outside the scope of Byrne and Oste’s research, but they’ve written to affected journals to flag their concerns.

“Whether they start off as misspellings and then seem to take on new lives as independent cell lines, or whether other stuff’s happening, potentially, with AI or paper mill involvement, it’s hard to say,” Oste says. “But there’s some definite red flags there.”

Many of the problematic studies emerged from Chinese hospitals, which have been identified as a hotbed of “paper mill” activity. This refers to researchers churning out papers with shoddy data in disreputable journals just to boost their own professional standing or attract funding.

“We’re not trying to point fingers, but we just want to make it clear that this is of significant concern,” Oste says.

“Papers that are describing experiments with these non-verifiable cell lines should be retracted, and any literature reviews or other papers that refer to them should have expressions of concern.”

Oste, still an undergraduate, has just returned from Greece where she presented at a research integrity conference, ahead of her exams. Byrne says their paper reporting the missing cell lines, in the International Journal of Cancer , is a shining example of student-led research.

“Students who just have no preconceptions about what’s out there can actually make very powerful observations,” Byrne says. “Possibly hundreds of thousands of people have seen these identifiers, and no one has thought to check them – until we did.”

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Published: 29 September 2021

Defining ethical challenge(s) in healthcare research: a rapid review

Guy Schofield ORCID: orcid.org/0000-0002-9055-292X 1 , 3 ,
Mariana Dittborn ORCID: orcid.org/0000-0003-2903-6480 2 ,
Lucy Ellen Selman ORCID: orcid.org/0000-0001-5747-2699 3 &
Richard Huxtable ORCID: orcid.org/0000-0002-5802-1870 1

BMC Medical Ethics volume 22 , Article number: 135 ( 2021 ) Cite this article

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Despite its ubiquity in academic research, the phrase ‘ethical challenge(s)’ appears to lack an agreed definition. A lack of a definition risks introducing confusion or avoidable bias. Conceptual clarity is a key component of research, both theoretical and empirical. Using a rapid review methodology, we sought to review definitions of ‘ethical challenge(s)’ and closely related terms as used in current healthcare research literature.

Rapid review to identify peer-reviewed reports examining ‘ethical challenge(s)’ in any context, extracting data on definitions of ‘ethical challenge(s)’ in use, and synonymous use of closely related terms in the general manuscript text. Data were analysed using content analysis. Four databases (MEDLINE, Philosopher’s Index, EMBASE, CINAHL) were searched from April 2016 to April 2021.

393 records were screened, with 72 studies eligible and included: 53 empirical studies, 17 structured reviews and 2 review protocols. 12/72 (17%) contained an explicit definition of ‘ethical challenge(s), two of which were shared, resulting in 11 unique definitions. Within these 11 definitions, four approaches were identified: definition through concepts; reference to moral conflict, moral uncertainty or difficult choices; definition by participants; and challenges linked to emotional or moral distress. Each definition contained one or more of these approaches, but none contained all four. 68/72 (94%) included studies used terms closely related to synonymously refer to ‘ethical challenge(s)’ within their manuscript text, with 32 different terms identified and between one and eight different terms mentioned per study.

Conclusions

Only 12/72 studies contained an explicit definition of ‘ethical challenge(s)’, with significant variety in scope and complexity. This variation risks confusion and biasing data analysis and results, reducing confidence in research findings. Further work on establishing acceptable definitional content is needed to inform future bioethics research.

Peer Review reports

Methodological rigour within research is a cornerstone in the production of high-quality findings and recommendations. Across the range of empirical methodologies, a broad collection of protocol development tools, methodology guidelines, and reporting guidelines have been developed and evidence of their use is increasingly required by journals [ 1 , 2 , 3 , 4 , 5 , 6 ]. Within both empirical bioethics and descriptive ethics, there has been an accompanying increase in the acknowledgment of the importance of methodological rigour in the empirical elements, including within the recent consensus statement on quality standards in empirical bioethics research by Ives et al. [ 7 , 8 , 9 ]. Aligned with this aim for rigour, definitional clarity of key terms used within a research project is a component of research quality [ 10 , 11 ]. Improving the quality of empirical bioethics is also itself an ethical imperative [ 9 ].

We recently conducted a systematic review examining ‘ethical challenges’ as reported by specialist palliative care practitioners [ 12 ]. Our review, alongside our initial scoping search findings and reading of the literature, suggested that, although many authors use the term ‘ethical challenge(s)’ in empirical ethics research, there appeared to be no commonly described or accepted definition. Furthermore, papers retrieved rarely defined ‘ethical challenge(s)’ explicitly , which has also been noted by other researchers examining other topic areas [ 13 , 14 , 15 ]. Our review further suggested that authors frequently use terms closely related to ‘ethical challenge(s)’—such as ‘moral dilemmas’ or ‘ethical issues’—interchangeably with ‘ethical challenge(s)’ throughout manuscripts, rather than staying with the original term. Research shows that non-philosophers may understand these related terms in heterogeneous ways which may additionally affect understanding of texts across different readerships [ 16 , 17 ].

Without a clear definition of an ethical challenge, each researcher must use individual judgement to ascertain whether they have identified an instance of one within their dataset. This potentially generates an unnecessary source of bias, particularly if multiple researchers are involved in data collection, extraction, or analysis. This risks generating misleading ethical analyses, evaluations, or recommendations. Additionally, and more broadly, if primary studies do not define the term, then work based on these—such as systematic reviews of individual studies or those undertaking secondary data analysis—may unknowingly compare different phenomena without a mechanism for mitigating the effects this introduces.

In the hope of prompting a debate on this topic, we therefore undertook a rapid review, which aimed to explore existing definitions of “ethical challenge(s)” and the use of other closely related terms within recent empirical healthcare ethics literature.

We conducted a rapid review examining the usage of the term ‘ethical challenge(s)’ over the last 5 years in published research articles, in order to identify and summarise if, and how, the term was defined. As a secondary aim, we examined authors’ uses of closely related alternative terms within the included article texts separate to their use within any explicit definitions that may be present.

Rapid reviews use abridged systematic review methodology to understand the evidence base on a particular topic in a time and resource efficient manner [ 18 , 19 , 20 , 21 , 22 ]. Comparative reviews of topics in which both a rapid review and a systematic review had been undertaken demonstrated that the overall conclusions were similar, although rapid reviews were less likely to contain social and economic data, and systematic reviews contained more detailed recommendations [ 18 , 19 , 20 , 23 , 24 ]. The Cochrane Rapid Review Methods Group has recently released interim methodological guidelines for undertaking rapid reviews [ 6 ], advising authors to describe where their protocol deviates from a systematic review and detail any biases that these deviations may introduce [ 18 , 19 , 21 ]. We have followed the Cochrane recommended methodology [ 6 ]. A rapid review reporting guideline is currently under development [ 25 ] and this review is therefore reported based on the PRISMA 2020 statement for systematic reviews, with justifications provided where our approach deviated [ 26 ].

Prospective review protocol registration on the PROSPERO database is the current gold standard, but, at the time of writing, PROSPERO does not accept records for rapid reviews [ 27 ]. The protocol was therefore not published in advance.

Eligibility criteria

The inclusion and exclusion criteria are summarised in Table 1 . We used Strech et al.’s Methodology, Issues, Participants (MIP) structure for our eligibility criteria, which is recommended for systematic reviews in ‘empirical bioethics’ [ 28 ]. The criteria reflect three assumptions. First, that the inclusion of ‘ethical challenge(s)’ in the title would increase the likelihood that this was the authors’ preferred term for the concept under investigation, and therefore increase the probability of a definition being provided. Second, that studies aiming to describe empirical data and identify ethical challenges in real-world contexts are most likely to contain a definition to guide researchers in identifying these challenges as they collect and analyse data. Third, that structured reviews of studies of ethical challenges are likely to include a definition to allow researchers to reliably recognise an ethical challenge in retrieved records. We used a 5-year timeframe as a date restriction. This reflected a balance between adequately covering recent use of the term and time and resource restrictions of the rapid review.

Information sources

The search strategy was as follows:

‘ethical challenge’.ti OR ‘ethical challenges’.ti.

We searched Medline (Ovid interface), Philosopher’s Index (OVID interface), EMBASE (OVID interface), and CINAHL (Cumulative Index to Nursing and Allied Health Literature, EBSCO interface) for studies indexed over a five-year period between April 2016 and April 2021. These resources cover the breadth of healthcare research. Including Philosopher’s Index increased coverage of the bioethics literature. We did not search the grey literature [ 6 ]. The search strategy was tested by successfully retrieving three sentinel studies known to the research team.

Study selection

Retrieved studies were imported into Endnote X9.2 [ 29 ]. Records unavailable through institutional subscriptions were requested from corresponding authors. If unavailable 14 days after the request, the record was excluded. A random sample of 20% of records were dual screened at the title/abstract level by GS/MD. After discussion, the remainder were screened by GS. At full-text screening, a further 20% were dual screened by GS/MD and, again after discussion, the remaining studies were screened by GS.

Data extraction and analysis

Data extraction was undertaken using a pre-piloted form, with the first 5 records dually extracted by GS and MD. Data from the remaining included studies was then extracted by GS, with correctness and completeness checked by MD. We collected data on date of publication, authors, journal, country (for primary studies), methodology, definition of ‘ethical challenge(s)’ (present (yes/no)) and (where offered) the definition provided, and any closely related terms used, with counts of all terms used in each article. For closely related terms, data was extracted from the authors’ text, but not from direct quotations from qualitative research. Where definitions of ‘ethical challenge(s)’ were offered and/or related terms were identified, these were categorised and counted following the principles of summative content analysis [ 30 ]. Summative content analysis combines both the quantitative counting of specific content or words/terms with latent content analysis to identify and categorise their meanings. We identified keywords (‘ethical challenge(s)’ and closely related terms) deployed by the authors of the included papers, both prior to and during data analysis, and analysed the retrieved definitions. This approach allowed for exploration of both the content of definitions and development of insights into the use of related terms.

Risk of bias assessment

The focus of the rapid review was the definition of the term ‘ethical challenge(s)’ within retrieved records. We therefore did not undertake quality assessment for the included studies and reviews.

831 records were retrieved, reduced to 393 after de-duplication. 238 records were excluded after reviewing the title and/or abstract. 157 records were identified for full text screening, with 3 unavailable [ 31 , 32 , 33 ]. 82 records were excluded at full text stage and 72 records were included for analysis. See Fig. 1 for the PRISMA flowchart.

PRISMA flow diagram of record identification

Record characteristics

Of the 72 included records, 53 were empirical studies [ 34 , 35 , 36 , 37 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 45 , 46 , 47 , 48 , 49 , 50 , 51 , 52 , 53 , 54 , 55 , 56 , 57 , 58 , 59 , 60 , 61 , 62 , 63 , 64 , 65 , 66 , 67 , 68 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 , 84 , 85 , 86 ], 10 non-systematic reviews [ 87 , 88 , 89 , 90 , 91 , 92 , 93 , 94 , 95 , 96 ], 7 systematic reviews [ 12 , 13 , 14 , 97 , 98 , 99 , 100 ], 1 systematic review protocol [ 101 ], and 1 non-systematic review protocol [ 102 ]. Of the 53 empirical studies, 42 (79%) were qualitative studies [ 34 , 35 , 36 , 38 , 39 , 40 , 41 , 42 , 43 , 44 , 47 , 48 , 50 , 51 , 52 , 54 , 55 , 56 , 57 , 58 , 60 , 62 , 63 , 64 , 65 , 66 , 67 , 69 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 79 , 80 , 81 , 83 , 84 , 85 , 86 ], 6 (12%) used a mixed methods approach [ 45 , 46 , 53 , 59 , 61 , 68 ], and 5 (10%) were quantitative [ 37 , 49 , 70 , 78 , 82 ]. 7/56 empirical studies, all qualitative interview studies, recruited participants internationally with no specific location stated [ 40 , 54 , 55 , 58 , 60 , 63 , 73 ]. Of the remaining studies, all but one were single-country studies: Botswana [ 75 ], Canada [ 41 , 65 ], China [ 57 ], Denmark [ 39 , 43 ], Dominican Republic [ 44 ], Germany [ 51 , 84 ], India [ 61 ], Iran [ 38 , 46 , 49 , 68 , 70 , 71 , 72 , 78 , 82 , 98 ], Italy [ 45 ], Mexico [ 87 ], the Netherlands [ 76 ], New Zealand [ 47 ], Norway [ 42 , 52 , 56 , 64 , 80 , 81 , 83 ], Saudi Arabia [ 34 , 35 , 36 , 37 ], Tanzania [ 69 , 74 ], Uganda [ 67 ], UK [ 86 ], and USA [ 50 , 53 , 59 , 62 , 66 , 77 , 79 , 85 , 85 ]. The remaining study was undertaken in both Sierra Leone and the UK [ 48 ]. See Table 2 for a summary.

12/72 (17%) of retrieved studies offered an explicit definition for ‘ethical challenge(s)’ [ 12 , 13 , 14 , 48 , 50 , 56 , 57 , 66 , 69 , 81 , 98 , 101 ]. Definitions were more likely to be found in more recent publications, with 4/12 included studies published in 2016–2018 [ 14 , 48 , 56 , 81 ], and 8/12 published in 2019–2021 [ 12 , 13 , 50 , 57 , 66 , 69 , 98 , 101 ]. The included study locations were evenly distributed, matching the overall pattern of retrieved studies, with studies from high- [ 48 , 50 , 56 , 66 , 81 ], middle- [ 57 , 98 ], and low-income settings [ 48 , 69 ]. The identified studies included eight qualitative studies [ 48 , 50 , 56 , 57 , 66 , 69 , 81 , 98 ], 3 systematic reviews [ 12 , 13 , 14 ], and 1 systematic review protocol [ 101 ]. Two of these records were the systematic review protocol and the report from our group, which accordingly contained the same definition [ 12 , 101 ], leaving 11 unique definitions. Definitions of ‘ethical challenge(s)’ identified in included studies are provided in Table 3 . Additionally, 68/72 (94%) reports used closely related terms synonymously in place of ‘ethical challenge(s)’ throughout their manuscript text, with between 1 and 8 different terms used within each report, and 32 different terms were identified. This occurred in both those reports that contained a definition and those that did not. See Table 4 for terms and frequencies.

Those records that offered explicit definitions used four approaches: (1) definition through concepts [ 12 , 57 , 66 ]; (2) reference to moral conflict, moral uncertainty or difficult choices [ 13 , 14 , 48 , 57 , 69 , 98 ]; (3) definition by study participants [ 12 , 48 , 50 , 56 ]; or (4) challenges as linked to their ability to generate emotional or moral distress within healthcare practitioners [ 14 , 14 , 66 , 81 ]. Each definition was associated with one or more of the identified elements, although none covered all four approaches. We describe these approaches below.

Approach 1: definition through concepts

This approach involves primarily defining ‘ethical challenge(s)’ in terms of related concepts. All three definitions using this approach defined ‘ethical challenge(s)’ as a summative collection of related concepts, including ‘ethical dilemmas’, ‘moral dilemmas’, ‘moral challenges’, ‘ethical issues’, and ‘ethical conflicts’ [ 12 , 57 , 66 ], for example:

‘The expression “ethical challenges” mainly refers to ethical dilemmas and ethical conflicts as well as other scenarios where difficult choices have to be made’ [ 57 ] p34

Only one went on to define the other concepts they utilised, ‘ethical dilemmas’ and ‘ethical conflicts’:

‘Ethical dilemmas are described as situations that cannot be solved; decisions made between two options may be morally plausible but are equally problematic due to the circumstances. Ethical conflicts, on the contrary, arise when one is aware of the necessity of proper actions but he or she may have trouble exercising these actions because of certain internal or external factors.’ [ 57 ] p34

Approach 2: moral conflict, moral uncertainty or difficult choices

This approach anchors an ethical challenge to the requirement for an agent to make a (difficult) choice in a situation where moral principles conflict, or there is moral uncertainty as to the ‘right’ way forward.

‘In this context, ethical challenge refers to the situation whereby every alternative is morally wrong and still one has to make a choice’ [ 69 ] p676 ‘An ethical challenge occurs when one does not know how to behave and act in the best way…’ [ 14 ] p93

Approach 3: definition by study participants

Four of the definitions involved research participants themselves defining something as an ‘ethical challenge’ [ 12 , 48 , 50 , 56 ], with three studies explicitly stating that participants would lead this definitional work [ 48 , 50 , 56 ]. Draper & Jenkins offer a starting definition, adopted from Schwartz et al. [ 103 ] with which to prime participants, while Forbes and Phillips [ 50 ] and Jakobsen and Sørlie [ 56 ] left the definition fully with their participants (Table 3 ). Finally, Schofield et al. proposed a very broad definition (Table 3 ), alongside the specific statement that either participants or researchers could nominate something as an ‘ethical challenge’ [ 12 ].

Approach 4: emotional or moral distress

This final approach was to tie ethical challenges to situations where participants feel ‘discomfort’, emotional distress or more specifically moral distress or moral residue [ 14 , 66 , 81 ]. Larkin et al. are clear that this distress must be tied to moral causes, but Hem et al. and Storaker et al. also refer more broadly to ‘discomfort’ [ 14 ] and ‘emotional stress’ [ 81 ] respectively. For example:

‘In this article, ethical challenges refer to values that entail emotional and moral stress in healthcare personnel.’ [ 81 ] p557

To the authors’ knowledge, this is the first rapid review to examine the use of the term ‘ethical challenge(s)’ in empirical healthcare research literature. Notably, only 12/72 (17%) of included studies published in the last 5 years contained a definition for ‘ethical challenge(s)’, despite this being the focus of the research being reported. The definitions identified were found in qualitative studies and systematic reviews and were evenly distributed geographically across high-, middle- and low-income settings. Definitions contained one or more of the identified approaches, although none contained elements from all four. Taken together, these findings suggest that a clear definition of ‘ethical challenge(s)’, and consistent use thereof, is currently lacking.

The four approaches indicate the diverse approaches to understanding ‘ethical challenge(s)’. Approaches 1 and 2 explore the concept from opposite viewpoints, with approach 1 looking from the conceptual perspective, through terms such as ‘dilemmas’ and ‘conflict’, and approach 2 from a participant perspective, specifically in those situations in which someone is trying to make a decision in circumstances where the preferred option is not possible or when they perceive there to be clash in values they feel are important. Within the concept-led definitions (approach 1), the use of a plurality of terms highlights a potential risk of bias, as different readers may interpret these differently. For example, some terms, such as ‘moral dilemma’, have relatively well understood specific meanings for some readers, particularly those with philosophical training [ 104 , 105 , 106 ]. The presence in the literature of specific and multiple meanings for some related terms highlights the importance of empirical studies providing a definition of these additional terms alongside their primary definition for ‘ethical challenge(s)’. This is more likely to be relevant where an a priori definition is used, but may be relevant to any prompting text for studies using a participant-led process, as in the study by Draper and Jenkins [ 48 ]. This clarity is important for both readers and future researchers who may undertake a secondary analysis of the data.

Approach 3 involves facilitating participants to nominate something as an ethical challenge [ 12 , 48 , 50 , 56 ]. This speaks to an important question about who, in a research context, is permitted to define or describe the object of interest, in this case ‘ethical challenge(s)’. Restricting the identification of ‘ethical challenge(s)’ to researchers alone may introduce bias by excluding input from those without bioethical ‘expertise’, but with important lived experience of the context under investigation. There is evidence that although clinicians can be sensitive to major ethical dilemmas, they can be less sensitive to small everyday ethical elements in clinical practice, and that ethical awareness varies between individuals [ 107 , 108 ]. Additionally, there is evidence in healthcare ethics research that patients and carers identify ethical challenges in situations that healthcare workers do not [ 109 ]. Therefore, relying entirely on a particular stakeholders’ perspectives (such as clinicians’) may risk missing important ethical challenges present in a scenario (assuming, of course, that we can settle what counts as an ‘ethical challenge(s)’).

In Approach 4, ethical challenges were linked to situations in which participants felt discomfort [ 14 ], emotional stress [ 81 ], moral distress or moral residue [ 66 ]. These concepts are themselves defined in quite varied ways (see, for example, definitions of ‘moral distress’ in a systematic review by Morley et al. [ 110 ]), potentially leading to additional conceptual confusion. Identifying triggers for moral distress is important, as high levels of moral distress are known to have negative impacts on work environments and lead to increased levels of compassion fatigue, increased staff turnover rates and poorer patient outcomes [ 110 , 111 , 112 ]. However, it is also possible that the requirement that, to be identified as an ethical challenge, the situation must invoke stress or distress might result in the under-identification of ethical challenges. We anticipate that many practitioners will daily manage multiple low-level ethical challenges, many of which will not generate moral distress or leave a moral residue. As such, the presence of moral distress may not be sufficient or even necessary in order to label a moral event an ‘ethical challenge’. However, the relationship between ‘ethical challenge(s)’ and moral distress is complex, and some might argue that the latter has an important relationship to the former. For example, moral distress, as conceived by Jameton and others [ 110 , 113 , 114 ], is linked to the after-effects of having to handle ethical challenge(s), so some researchers might view the generation of moral distress as relevant to identifying ethical challenges.

Although our review revealed these four approaches, the wider literature indicates there may be alternative approaches available. For example, other potential approaches would define ethical challenges as events that interact with moral principles, such as autonomy, beneficence, non-maleficence or justice, as proposed by Beauchamp and Childress [ 115 ], or as events in which those principles clash, for example as used by Klingler et al. in their research focusing on ethical issues in health surveillance [ 116 ]. However, these approaches were not seen amongst our included papers.

Returning to our included papers, the high rates of use of closely related terms within included manuscript texts may add to difficulties in understanding the exact object of interest if these terms are being used as synonyms for ‘ethical challenge(s)’. This may be particularly the case if terms used include those such as ‘moral dilemma’, which (as shown above) will have specific meanings for some readers. Interchangeable, undefined usage of these terms by study authors within study texts risks further exacerbating the problems caused by a lack of definitional clarity.

Strengths and limitations

This rapid review is the first systematic attempt to describe the definitions of ‘ethical challenge(s)’ available within the recent published literature.

There are, however, five limitations to note. First, the review only includes results from the past 5 years, which inevitably means that older publications, which may have contained further definitions of ‘ethical challenge(s)’, were excluded. The focus on the previous 5 years does, however, allow for an assessment of the term’s use(s) within a reasonable period of time and was felt to be appropriate given the aims and resources available to this project.

Second, our three assumptions listed in the methodology section may have excluded some records that contained a relevant definition. However, these assumptions, and the resulting focus on two search terms, allowed for a balance between retrieved record numbers and team resources.

Third, the four databases searched were chosen for their focus on the healthcare ethics literature; we may therefore may have missed relevant usage in other fields or disciplines. Similarly, we did not search the grey literature, which might have excluded relevant research.

Fourth, for resource reasons, the assessment as to whether a related term was being used interchangeably in the text was undertaken by a single researcher (GS). This subjective assessment risks miscalculating both the number of interchangeable terms identified and the frequency counts.

Finally, we did not review the theoretical literature for conceptual definitions of ‘ethical challenge(s)’, hence the definitions we identified might not match completely conceptual understandings of the term. However, our review shows how the term is currently being used in the research literature. Indeed, if there are strong conceptual definitions within the theoretical literature, then it is clear that they are currently not reaching the researchers whose work was identified by our review.

This review is the first, to our knowledge, to identify and describe definitions (and uses) of the widely-utilised concept of ‘ethical challenge(s)’ within healthcare research. Only 17% (12/72) of retrieved papers presented an explicit definition of ‘ethical challenge(s)’ before beginning to investigate this concept in context. The definitions found contained one or more of four identified approaches, with significant cross-reference to related terms and concepts which themselves have variation in their accepted meanings. We recommend that researchers define the phenomenon of interest—in this case, ‘ethical challenge(s)’—to help ensure clarity. This should either be a priori, or, if using an approach that includes participant participation in the generation of the definition, reporting their final working definition a posteriori. The choice of definition should be justified, including the decision as to whether to include participants in this process. Additionally, if a definition references other conceptual terms, then consideration should be given to defining these as well.

The results of this rapid review suggest that a common conceptual understanding of the term ‘ethical challenge(s)’ is lacking within empirical bioethical research and that there is a need for researchers in this area to consider what conceptual formulations might be most useful. Again, failure to use definitions of crucial research concepts within empirical bioethics research potentially generates confusion and avoidable bias within research outputs, risking misleading ethical analyses, evaluations, and resulting recommendations. We therefore hope this review will help stimulate debate amongst empirical bioethics researchers on possible definitional content for such a commonly used term and prompt further discussion and research. Additionally, given the central role of patient and public partnership and involvement in research, further thought should be given to who should be involved in nominating something as a challenge worthy of study.

Following on from this work, there would be value in conducting an empirical bioethical project combining a full systematic review of definitions of ‘ethical challenge(s)’ (and related terms) integrated with an exploration of the conceptual literature to generate recommendations for approaches towards the content of potential definitions, perhaps related to the identified approaches above. Such a project could also ask authors who currently use the term ‘ethical challenge(s)’ in their research how they conceptualise this. Furthermore, work to better understand the benefits of including study participants in the definition process is also important. Finally, whilst researchers should justify whatever approach they choose to take, there may be merit in examining whether anything is lost if studies lack a robust or agreed definition, or whether doing so affords a flexibility and openness that allows for a broader range of ethical challenges to be identified.

Availability of data and materials

All data is presented in this manuscript.

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Acknowledgements

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GS is supported by a Wellcome Trust Research Award for Health Professionals (208129/Z/17/Z). LES is funded by a Career Development Fellowship from the National Institute for Health Research. RH is part-funded by the Wellcome Trust (209841/Z/17/Z) and the NIHR Biomedical Research Centre at University Hospitals Bristol NHS Foundation Trust and the University of Bristol. He serves on various local, regional, and national ethics committees and related groups. The views expressed in this publication are those of the authors and not necessarily those of the NHS, the National Institute for Health Research, the Department of Health, or any of the other organisations with and for whom the authors work.

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GS, MD and RH conceived of the idea for the review; LES, GS, MD and RH designed the review protocol; GS and MD conducted the literature searching, screening, data extraction and led on data interpretation but all authors were involved; GS led on drafting the manuscript; all authors critically revised the manuscript for content and approved the version to be published. All authors read and approved the final manuscript.

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Schofield, G., Dittborn, M., Selman, L.E. et al. Defining ethical challenge(s) in healthcare research: a rapid review. BMC Med Ethics 22 , 135 (2021). https://doi.org/10.1186/s12910-021-00700-9

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How to Define a Research Problem | Ideas & Examples

How to Define a Research Problem | Ideas & Examples

Published on 8 November 2022 by Shona McCombes and Tegan George.

A research problem is a specific issue or gap in existing knowledge that you aim to address in your research. You may choose to look for practical problems aimed at contributing to change, or theoretical problems aimed at expanding knowledge.

Some research will do both of these things, but usually the research problem focuses on one or the other. The type of research problem you choose depends on your broad topic of interest and the type of research you think will fit best.

This article helps you identify and refine a research problem. When writing your research proposal or introduction , formulate it as a problem statement and/or research questions .

Why is the research problem important, step 1: identify a broad problem area, step 2: learn more about the problem, frequently asked questions about research problems.

Having an interesting topic isn’t a strong enough basis for academic research. Without a well-defined research problem, you are likely to end up with an unfocused and unmanageable project.

You might end up repeating what other people have already said, trying to say too much, or doing research without a clear purpose and justification. You need a clear problem in order to do research that contributes new and relevant insights.

Whether you’re planning your thesis , starting a research paper , or writing a research proposal , the research problem is the first step towards knowing exactly what you’ll do and why.

Prevent plagiarism, run a free check.

As you read about your topic, look for under-explored aspects or areas of concern, conflict, or controversy. Your goal is to find a gap that your research project can fill.

Practical research problems

If you are doing practical research, you can identify a problem by reading reports, following up on previous research, or talking to people who work in the relevant field or organisation. You might look for:

Issues with performance or efficiency
Processes that could be improved
Areas of concern among practitioners
Difficulties faced by specific groups of people

Examples of practical research problems

Voter turnout in New England has been decreasing, in contrast to the rest of the country.

The HR department of a local chain of restaurants has a high staff turnover rate.

A non-profit organisation faces a funding gap that means some of its programs will have to be cut.

Theoretical research problems

If you are doing theoretical research, you can identify a research problem by reading existing research, theory, and debates on your topic to find a gap in what is currently known about it. You might look for:

A phenomenon or context that has not been closely studied
A contradiction between two or more perspectives
A situation or relationship that is not well understood
A troubling question that has yet to be resolved

Examples of theoretical research problems

The effects of long-term Vitamin D deficiency on cardiovascular health are not well understood.

The relationship between gender, race, and income inequality has yet to be closely studied in the context of the millennial gig economy.

Historians of Scottish nationalism disagree about the role of the British Empire in the development of Scotland’s national identity.

Next, you have to find out what is already known about the problem, and pinpoint the exact aspect that your research will address.

Context and background

Who does the problem affect?
Is it a newly-discovered problem, or a well-established one?
What research has already been done?
What, if any, solutions have been proposed?
What are the current debates about the problem? What is missing from these debates?

Specificity and relevance

What particular place, time, and/or group of people will you focus on?
What aspects will you not be able to tackle?
What will the consequences be if the problem is not resolved?

Example of a specific research problem

A local non-profit organisation focused on alleviating food insecurity has always fundraised from its existing support base. It lacks understanding of how best to target potential new donors. To be able to continue its work, the organisation requires research into more effective fundraising strategies.

Once you have narrowed down your research problem, the next step is to formulate a problem statement , as well as your research questions or hypotheses .

Once you’ve decided on your research objectives , you need to explain them in your paper, at the end of your problem statement.

Keep your research objectives clear and concise, and use appropriate verbs to accurately convey the work that you will carry out for each one.

I will compare …

The way you present your research problem in your introduction varies depending on the nature of your research paper . A research paper that presents a sustained argument will usually encapsulate this argument in a thesis statement .

A research paper designed to present the results of empirical research tends to present a research question that it seeks to answer. It may also include a hypothesis – a prediction that will be confirmed or disproved by your research.

Research objectives describe what you intend your research project to accomplish.

They summarise the approach and purpose of the project and help to focus your research.

Your objectives should appear in the introduction of your research paper , at the end of your problem statement .

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Outstanding Research Paper Topics to Get Your Writing Started

[Post information was updated on April, 2024]

The correct choice of topic for a college research paper directly affects its success, which entails searching for the required literary sources for a comprehensive study of the issue raised in the relevant field of knowledge. Let’s find out how to choose an engaging topic the easy way.

Why is it so important to choose the right topic for your college research paper?

The ability to conduct full-fledged research activities in the chosen direction (collecting the required information, reading literary sources, studying articles of foreign scientists, etc.). If the topic is of no interest, work will progress slowly and ineffectively.
Creation of full-fledged, constructive relations with the supervisor of the research paper (timely attendance of consultations, effective interaction with a teacher, constructive discussion of the stages of writing done, etc.).
A high-quality foundation before writing the research paper corresponding to the student’s specialty.
Getting a good grade when defending your research paper, or getting term papers for sale .

Where to start choosing a good topic?

– Timely selection of a supervisor in the topic of a research paper. – Declare your topic (before the list of approved topics appears) or independently choose from the list compiled by your school. – Study the information sources suggested by the supervisor. – After consulting with the supervisor, draw up a rough list of references. – Draw up a schedule for organizing work with notes. – Design a template and approve the calendar plan with the supervisor (a necessary addition to the research paper).

how to choose a good research paper topic

Main topic selection criteria

When choosing a research paper topic, the author is guided by five easy criteria: personal interest, relevance, scientific novelty of the research, presence/absence of controversial positions on the issue under consideration, lack of proof of the theorem’s problematics, and creation of a new methodology.

Personal interest. The student has the right to independently choose a topic that corresponds to the school specialty and is interesting for him or her.
Relevance of the topic. The modernity, the relevance of the topic, and the significance for modern society are prerequisites when searching for information to create future research.
Scientific novelty. The author is not recommended to choose a topic that has not been studied enough – the lack of research and literary sources will negatively affect the disclosure of the issues under consideration.
Polemics on the issue. The presence of opposing points of view on the problem under consideration is a good option for creating a research paper.
Failure to prove a scientific theorem. When choosing a topic, the author is recommended to use materials previously considered in the scientific industry, unproven ones due to lack of validity, objective argumentation, etc.
Consideration/creation of a new methodology . In this case, the author decides whether to consider a previously studied issue, applying to it independently developed new methods in accordance with the formulated research methodology.

Best research paper topics in October 2023

The reasons for the Israeli-Palestinian conflict and its development in 2023.
Possible scenarios for ending the war between Russia and Ukraine.
War refugees and the possible crisis in Europe.
Racial disparities in criminal justice: examining bias, policing, and sentencing.
The future of artificial intelligence: ethical concerns, regulation, and societal implications.
Global water scarcity: causes, effects, and strategies for sustainable management.
Cryptocurrencies and blockchain technology: economic implications and regulatory challenges.
AI in healthcare: diagnosis, treatment, and ethical considerations in the age of automation.
Climate-induced migration: environmental refugees, policy responses, and human rights.
Renewable transportation: electric vehicles, sustainable infrastructure, and decarbonization.

Science research paper topics

Steps for developing a COVID-19 vaccine.
Microbial factories as an answer to the shortage of raw metals.
Importance of solar system exploration.
The best way to use carbon dioxide.
The release of “killer” mosquitoes to fight disease.
The usage of microelectronics to help people with chronic ailments.
The least harmful fertilizer to the environment.
The ethical aspect of stem cell research.
The usage of robots to help kill invasive species.
Development of technologies to heal people who are paralyzed.

Health research paper topics

Epidemiology of headaches of schoolchildren.
Influence of broncholytic drugs on the state of vegetative homeostasis in children with bronchial asthma.
Modern aspects of psoriasis etiology.
Method of multiparametric analysis of heart rate variability in ischemic disease.
The influence of combined anesthesia on the synchronization of electrocardiogram and photoplethismogram in minor gynecological surgery.
Genetic aspects of early diagnostics of diabetic retinopathy.
Diagnostics of the parameters of psychological stability in the context of interaction with sources of obtaining information.
The role of ultrasound and other imaging diagnostic methods in detecting inflammatory intestinal diseases in children.
Dynamics of prevalence of respiratory allergic diseases in the USA.
Health monitoring of children in the USA.

Human research paper topics

Physical abilities of a person and their importance in human existence.
Types of jogging and their impact on human health.
Psychological aspects of optimization of human working movements.
Ergonomic requirements for information display facilities.
Characteristics of the “human-machine” system.
Psychological characteristics of the activities of a high-school teacher.
Ways to build self-esteem.
The image of a modern positive hero. Who is a strong human?
The influence of internal conflict on human behavior.
Human behavior in difficult situations.

Management research paper topics

Models for the implementation of the organization’s development strategy.
Methods for the accumulation and development of the strategic potential of organizations.
Methods for assessing the strategic potential of organizations.
Diagnostics and assessment of the level of strategic development of the organization.
Development of methods for the development and implementation of the organization’s strategy.
Research of an integrative approach to the development and implementation of an organization’s strategy.
Development of methods and means of strategic management.
Strategic planning for the development of an organization based on a systematic approach to the implementation of scientific and technical developments.
Methodology for developing a strategic plan for promoting a new product to the market.
Models for the formation of strategies and tactics for bringing a new product to the market.

Biology research paper topics

Determination of the presence of lactic acid bacteria in fresh and stale milk.
Running safety as the foundation for successful training.
Are potato chips good or bad for your health?
The effect of synthetic and natural antibiotics on living organisms.
House dust research.
Milk is the elixir of health.
Biogas plants.
The importance of water for human health.
Development of a system for saving tap water in a school environment.
Effect of hydrogel on plant growth.

Criminal research paper topics

Social conditionality of establishing criminal liability for concealment of a crime.
Violence against children: problems of criminal responsibility.
Crimes against peace.
The document and its functions in the system of criminal protection of public relations.
Evaluative concepts: methodological aspects of research and application in criminal law.
Grounds for the postponement of the execution of the sentence.
Crime: methodological aspects of research and reflection in criminal law.
Social conditionality of criminal law protection of adoption.
Officials as special subjects of crime.
Stages of committing a crime under the criminal law of the USA and England: a comparative legal aspect.

Computer science research paper topics

Design and development of an electronic document management system.
Development of an automated system for recording the movement of off-budget funds in a budgetary organization.
Application of GRID-technologies in simulation modeling.
Analysis of maintenance of an average performance of the computing center.
Architecture of hardware and software for distributed information processing for intranet technology.
The interaction of the main parts of the computer during the execution of a program.
Choice of the logical structure of the processor.
Protection of information in the global network.
Internet in cultural communication.
Encoder for entering information from the keyboard.

Nursing research paper topics

Breastfeeding.
Analysis of the incidence of chickenpox in different age periods.
Analysis of road traffic injuries. The role of a paramedic at the prehospital stage.
Consulting parents on the issues of immunization of childhood infections.
Training of self-control in hypertension.
Clinical analysis of pain syndrome in patients with pancreatitis and its dynamics during treatment.
Self-care training while having diabetes mellitus.
Medical support of the educational process at school.
Features of nursing care for patients in a hospital.
Educating the population on rational and dietary nutrition.

Accounting research paper topics

The concept of accounting for target costs as a direction for the development of modern accounting management.
Special accounting objects requiring the use of new calculation methods: business processes, production stages, inventories, life cycle of products, and services.
Components of reciprocity and differences in the formulation of accounting subsystems (financial and management) and the problems of overcoming them.
Subject areas of financial and management accounting, and the degree of coincidence of the features of their objects within a particular organization.
The points of contact of two accounting subsystems: assets, income, costs, business processes, capital, liabilities, production units, and products.
Accounting principles of disclosure of reporting indicators.
Problems of balance sheet development as the main form of accounting.
Innovations in the information content of off-balance sheet items in the annual financial statements.
Feasibility and possibilities of disclosing information in the notes to the annual financial statements.
Social reporting as a phenomenon in accounting.

Ethics research paper topics

Management ethics in law enforcement.
Principles of ethical living: nihilism.
Professional ethics of a lawyer.
Judicial ethics.
Ethical norms of speech culture.
Basic rules of business ethics.
Ethnic ethics of Algeria.
Ethical and legal problems of genetics.
Ethics of phone business communication.
Ethical views of Socrates and Plato.

Political research paper topics

Psychological mechanisms of political communication.
Psychological and political stability of society.
The structure of a campaign to promote a political party or individual politician.
The nature of work in politics.
Political mimicry.
Psychological and political qualities of the leader of a political movement.
The psychology of political terrorism.
Political deception.
Political consciousness, self-awareness, self-knowledge.
Political attitudes and stereotypes.

Marketing research paper topics

Marketing in the healthcare industry: overcoming characteristic features and following trends.
The relationship between cultural indicators and attitudes toward ads.
Retro design and nostalgic marketing: influence of nostalgic trends in consumer behavior.
The peculiarities of sporting event marketing and promotion of tourist destinations.
The impact of religious traditions on tourism marketing and its commodification .
Peculiarities of marketing strategies and market analysis in the video game industry.
Analysis of characteristics the content should have to help advertisements go viral.
Marketing analysis of the intelligence property market and its peculiarities.
Using symbols as a marketing tool in the example of Starbucks.
Quantitative research of consumer attitude toward food product advertising.

International business research paper topics

How do US corporations like Microsoft cheat with tax and profits?
What challenges has Netflix faced during the launch in India? What strategies does Netflix implement in developing markets?
What distinctive characteristics does China’s internet have compared to the US?
What problems does Uber face? What should be done to avoid them?
Why global computing companies like IBM move their centers to India?
What is Ethereum and how can it be used in business processes?
What is Baidu? Describe what products it does and what perspectives it has.
How can MME (Multi-National Enterprises) and global institutions contribute to global sustainability in the fishing industry?
What is the financial state of TATA Motors? What are the perspectives?
What retail assortment management strategies does Amazon implement?

Find more international business research paper topics .

Economics research paper topics

What are the principles of monopoly power? What are functioning and regulation problems of a monopoly?
Should the Adani Carmichael mine be supported? Describe the situation and possible solutions.
What were the main causes of the Asian currency crisis in Thailand, Malaysia, Indonesia, Philippines, and Korea?
Describe Sino-Pakistani cooperation and the history of rapprochement of relations between Pakistan and India.
What is intelligence-led policing (ILP)? What strengths and weaknesses have been identified with this model of policing?
What influence does the federal reserve system have on the US economy?
Competitive risk assessment and the estimated target market.
Economic issue of importance in food policy. How can food policy prevent world hunger?
Discuss the role of the WTO in freeing the world trade during the past 10 years.
Should the government classify Bitcoin as a legal currency?

Medical research paper topics

How does over-attention relate to obsessive–compulsive personality disorder (OCPD)? What is the exact behavior of over-attention?
Does proper nutrition and dieting influence the development of dementia?
How can children’s drawings help with the diagnosis of psychological and somatic disorders?
How does epidemiological monitoring influence the changing approaches in asthma treatment?
How to evaluate risk factors of osteoarthritis and prescribe contemporary therapy?
How to handle pain among newborns? How to prevent pain or minimize the level of a newborn’s discomfort?
What are characteristics of viral and alcoholic cirrhosis? What differences are in disease management?
What treatment is the most effective for blunt chest trauma care in acute nursing?
What treatment should be chosen for managing patients with HPV in the reproductive age?
What therapy should be chosen for functional disorders of digestion in children?

History research paper topics

Why did Italian cities turn to minting gold in the thirteenth century?
What was the background and consequences of the Battle of Jerusalem 1917?
How did the American Revolution influence women’s rights?
What was the significance of chivarlic code and how did it work?
What was the most important figure in the history of Christianity?
Ancient traditions of the Amazon: territorial and religious aspects.
Is it helpful to describe the Agora in Athens as a ‘zone of competitive reciprocity’?
Analyze etymology resources of a word’s history and stories.
Discuss conventional theories and causes of the Great War.
How did Japan’s food culture transform through the centuries?

IT and technology research paper topics

What is net neutrality and where can it lead to?
What technological innovations are developed in mechanical engineering?
How to protect automotive software of smart cars from cyber attacks?
What does “NextGen” mean for business aviation?
What are solutions in the current problem of the mobile payment systems in Walmart?
How can automation and smart service improve HR services?
Describe the Big Data technologies and their opportunities on the market.
What strategies are implemented for sharing intellectual property?
What are the prospects of online privacy security? Can it be real?
What opportunities does a virtual reality business have?

Business research paper topics

How to build trust and bid for a price in negotiations?
Do bonuses boost the effectiveness of sales?
Does gender diversity enhance the financial success of the company?
How should competitors of the same industry collaborate and why?
Should the companies create the new product or first announce the idea to consumers and analyze their reaction?
What are the effects of inaccessibility to a company’s mobile application?
How can inviting millennials to management positions help the business?
What helps some companies stand out during negative macro shocks?
How do consumers conclude that certain goods are worth their prices?
Which strategy saved IBM from insolvency?

Find more business topics for research paper .

Art history research paper topics

How was the human body represented in the works of the epoch of the Renaissance?
What was the function of Egyptian art? Why were people not supposed to see it?
What were the specifics of depicting scenes from the life of Christ in medieval Europe?
What are common types of mosque architecture?
Why was futurism the most politicized movement in the 20th century?
What similar characteristics do paintings of the time of the French Revolution and ancient Greek art have and why?
How have Impressionists changed the hierarchy of subject matter in art?
What significant changes did Andy Warhol bring to the advertising industry through his art?
What is the historical significance of “The Death of General Wolfe” – the painting by Benjamin West?
How did Francis Bacon and the scientific revolution influence art?

Check out more art history research paper topics .

Psychology research paper topics

How should parents identify the gender of children with ambiguous genitalia?
What similar traits do prematurely born children have?
Do children benefit from growing up in nuclear families?
Are crying and maltreatment connected for children?
To what extent should law regulate family affairs?
Does the person who relates to several groups have many selves?
Psychological effects of child molestation that can cause problems in personal relationships.
Should parents ban children from playing with toys “out of their gender?”
Are there differences in psychological needs of people who cause themselves suicidal and non-suicidal harm?
How does same-sex parenting affect children?

Sociology research paper topics

Can movies change the value systems of people?
How can commercialization of organ transplants affect the amount of people saved due to transplantation?
Do backup cameras set up on a car invade people’s privacy?
Can Islamophobia be considered as religious discrimination?
Are US driving laws more driver or pedestrian oriented?
What sphere negatively influences democratic journalism more significantly – politics or business?
How to protect informational safety in the era of social media?
Should the government provide homeless children with education?
What is the impact of overcrowded prisons on American society?
Should Facebook be censored?

Literature research paper topics

How has the role of the dream changed from Alice in Wonderland to Through the Looking-Glass ?
Through which characters and how is the theme of alienation from society revealed in Crime and Punishment ?
Does Jane Austen criticize women’s views on marriage of her era in Pride and Prejudice ?
How is the theme of superiority of youth and beauty depicted in The Picture of Dorian Gray ?
Why can’t Claude Frollo be considered a typical antihero in The Hunchback of Notre Dame ?
How is the theme of animal instinct depicted in All Quiet on the Western Front ?
How does the setting influence the perception of the story in The Great Gatsby ?
Which literary works are referred to in Fahrenheit 451 and why?
What role does size play in Swift’s Gulliver’s Travels ? What does the size symbolize?
What does Mama’s plant symbolyze and how does this symbol develop throughout the novel A Raisin in the Sun ?
English literature of the Early Middle Ages.
Anna Seghers. The anti-fascist orientation of her works.
Ballad as a genre of English poetry.
Vertical context in Thomas Mann’s novels.
The female image in the novel “Indiana” by Amantine Aurore Dupin.
Concept and composition of Ovid’s “Metamorphoses.”
Small genres of lyrics.
Late Goethe and the problem of romanticism.

Drugs and drug abuse research paper topics

Is Marijuana a “gateway” or a “stepping stone” drug?
Pathways to the disease and pathophysiological perspectives of heroin addiction.
Prevention of substance abuse and addictions through counseling at-risk youth.
Alcohol and drug abuse among homeless and runaway adolescents.
Treatment research of addiction and substance abuse.
Principles of drug abuse treatment for the criminal justice system.
Prevention of prescription drug overdose and abuse.
Substance abuse rates and treatment within LGTB communities.
Side effects of principal doping substances.
Pros and cons of drug testing among college students.

Education research paper topics

The effect of computers on students’ performance.
Aspects and main principles of adolescent psychology.
The role of prayer in schools and colleges.
Social effects of teenage team sports in public schools.
Psychological aspects of bullying in schools in the US.
Future of digital learning at educational institutions.
Using cognitive psychology in the learning process.
Dynamic aspects of teenage friendships and educational attainment.
Effects of standardized testing on the learning process.
Pros and cons of home schooling compared to attending public schools (look through the whole research paper example ).

Sports research paper topics

The ways to reduce fan aggression that is enhanced by media.
Cheerleading should be banned for girls and boys aged under 18 for excessive sexualization of this type of sport.
The appropriateness of women coaching men’s teams and vice versa.
Sport betting should be prohibited as gambling.
The role of sports in overcoming posttraumatic syndrome.
The effect of age on the performance of athletes.
The influence of athletes’ sexual orientation on their image and reputation.
The most cruel kinds of sports that should be prohibited.
The reasons why chess should be considered a sport.
Factors which influence the difference in female and male salaries in sports.

Picking research paper topics advice

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47 thoughts on “ Outstanding Research Paper Topics to Get Your Writing Started ”

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Home — Essay Samples — Education — Research — Ethical Issues in Titanic Research

Ethical Issues in Titanic Research

Categories: Research

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Published: Jun 13, 2024

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Introduction, sanctity of the wreck site, commercialization of artifacts, respect for the victims and their descendants.

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This paper is in the following e-collection/theme issue:

Published on 18.6.2024 in Vol 26 (2024)

Identification of Ethical Issues and Practice Recommendations Regarding the Use of Robotic Coaching Solutions for Older Adults: Narrative Review

Authors of this article:

Cécilia Palmier 1, 2 * , MSc ;
Anne-Sophie Rigaud 1, 2 * , Prof Dr Med ;
Toshimi Ogawa 3 , PhD ;
Rainer Wieching 4 , Prof Dr ;
Sébastien Dacunha 1, 2 * , MSc ;
Federico Barbarossa 5 , MEng ;
Vera Stara 5 , PhD ;
Roberta Bevilacqua 5 , MSc ;
Maribel Pino 1, 2 * , PhD

1 Maladie d’Alzheimer, Université de Paris, Paris, France

2 Service de Gériatrie 1 & 2, Hôpital Broca, Assistance Publique - Hôpitaux de Paris, Paris, France

3 Smart-Aging Research Center, Tohoku University, Sendai, Japan

4 Institute for New Media & Information Systems, University of Siegen, Siegen, Germany

5 Scientific Direction, Istituto Nazionale di Ricovero e Cura per Anziani, Ancona, Italy

*these authors contributed equally

Corresponding Author:

Anne-Sophie Rigaud, Prof Dr Med

Service de Gériatrie 1 & 2

Hôpital Broca

Assistance Publique - Hôpitaux de Paris

54 rue Pascal

Paris, 75013

Phone: 33 144083503

Fax:33 144083510

Email: [email protected]

Background: Technological advances in robotics, artificial intelligence, cognitive algorithms, and internet-based coaches have contributed to the development of devices capable of responding to some of the challenges resulting from demographic aging. Numerous studies have explored the use of robotic coaching solutions (RCSs) for supporting healthy behaviors in older adults and have shown their benefits regarding the quality of life and functional independence of older adults at home. However, the use of RCSs by individuals who are potentially vulnerable raises many ethical questions. Establishing an ethical framework to guide the development, use, and evaluation practices regarding RCSs for older adults seems highly pertinent.

Objective: The objective of this paper was to highlight the ethical issues related to the use of RCSs for health care purposes among older adults and draft recommendations for researchers and health care professionals interested in using RCSs for older adults.

Methods: We conducted a narrative review of the literature to identify publications including an analysis of the ethical dimension and recommendations regarding the use of RCSs for older adults. We used a qualitative analysis methodology inspired by a Health Technology Assessment model. We included all article types such as theoretical papers, research studies, and reviews dealing with ethical issues or recommendations for the implementation of these RCSs in a general population, particularly among older adults, in the health care sector and published after 2011 in either English or French. The review was performed between August and December 2021 using the PubMed, CINAHL, Embase, Scopus, Web of Science, IEEE Explore, SpringerLink, and PsycINFO databases. Selected publications were analyzed using the European Network of Health Technology Assessment Core Model (version 3.0) around 5 ethical topics: benefit-harm balance, autonomy, privacy, justice and equity, and legislation.

Results: In the 25 publications analyzed, the most cited ethical concerns were the risk of accidents, lack of reliability, loss of control, risk of deception, risk of social isolation, data confidentiality, and liability in case of safety problems. Recommendations included collecting the opinion of target users, collecting their consent, and training professionals in the use of RCSs. Proper data management, anonymization, and encryption appeared to be essential to protect RCS users’ personal data.

Conclusions: Our analysis supports the interest in using RCSs for older adults because of their potential contribution to individuals’ quality of life and well-being. This analysis highlights many ethical issues linked to the use of RCSs for health-related goals. Future studies should consider the organizational consequences of the implementation of RCSs and the influence of cultural and socioeconomic specificities of the context of experimentation. We suggest implementing a scalable ethical and regulatory framework to accompany the development and implementation of RCSs for various aspects related to the technology, individual, or legal aspects.

Introduction

Challenges associated to population aging.

Technological and medical advances have led to a demographic shift in the population, with the number of older adults constantly increasing. According to the United Nations [ 1 ], older adults (aged 60-65 years) will represent 16% of the world’s population in 2050. In addition, life expectancy is increasing, from 64.2 years in 1990 to 72.6 years in 2019, and is expected to reach 77.1 years in 2050 [ 1 ]. However, there is a wide diversity of health conditions among older adults. The health status of older adults is dependent on multiple factors, including nonmodifiable genetic factors and environmental factors, such as lifestyle [ 2 ]. Thus, older adults represent a very heterogeneous population with multiple and diverse needs and desires. With advancing age, the loss of functional independence; frailty; and other health diseases such as cardiovascular problems, cancers, osteoarthritis, osteoporosis, or major neurocognitive disorders may appear [ 3 - 5 ]. Among age-related conditions, major neurocognitive disorders (eg, Alzheimer disease) receive particular attention due to the increasing prevalence of these diseases [ 6 ].

The aging population is not only a public health issue but also a socioeconomic one. To face this challenge, it is important to develop preventive measures to support active and healthy aging and to preserve the independent functioning and quality of life of older adults. The adoption of healthy behaviors can help prevent or delay the onset of pathologies or treat them if detected early [ 7 ].

The Use of Technologies for Older Adults

Preventive health measures can be supported through new technologies, such as robotic coaching solutions (RCSs) that promote healthy aging among older adults [ 8 , 9 ]. RCSs have been defined as personalized systems that continuously monitor the activities and environment of the user and provide them with timely health-related advice and interventions [ 10 - 12 ]. These systems can help users define and achieve different health-oriented goals [ 12 ].

RCSs may encompass artificial intelligence (AI) technologies that can analyze user data, personalize coaching programs, and adapt recommendations based on each individual’s needs [ 1 , 13 - 19 ]. RCSs can involve robots equipped with sensors such as cameras, microphones, or motion sensors to collect real-time data about the user, AI, and programming that enables their interaction with users [ 20 , 21 ]. These technologies are often equipped with voice and visual recognition and learning capabilities [ 20 , 21 ]. They can benefit from advanced natural language processing techniques, which allow for understanding of the user’s input, facilitating natural and effective communication [ 22 ]. RCSs can offer guidance, support, and feedback based on preprogrammed information or real-time data analysis. These data can inform coaching strategies and allow RCSs to provide users with relevant feedback [ 8 ].

RCSs can also encompass a virtual agent, which refers to a computer program or an AI system that interacts with users in a manner that simulates human conversation [ 14 , 18 , 23 ]. A virtual agent is an animated character capable of adopting a social behavior mimicking that of humans to encourage the users to make changes in their habits [ 14 ]. Virtual agents might take the form of a chatbot, voice assistant, or other AI-driven communication system [ 14 ]. Biometric monitoring devices to track physiological data such as heart rate, sleep patterns, or stress levels can also be included in RCSs [ 8 , 20 , 21 ]. These data can contribute to the configuration of personalized coaching plans. RCSs can also encompass advanced data analytics that can process large data sets generated by users’ interactions and behaviors. This functionality helps in identifying patterns, trends, and areas for improvement in coaching strategies [ 24 ]. Integrating Internet-of-Things devices in RCSs can provide additional data points about a user’s environment, lifestyle, or habits, thus contributing to a personalized coaching approach [ 25 ].

Health-oriented RCSs could enable users to lead a healthy lifestyle, by identifying needs and goals and providing appropriate risk predictions and individualized recommendations [ 12 , 26 - 28 ]. There are RCSs dedicated to a particular domain, such as physical activity or motor rehabilitation [ 9 , 16 ]. Others may have the objective of promoting independent and healthy aging [ 29 ].

Promoting active and healthy aging can allow older adults to maintain their independence and continue to live at home [ 4 , 30 ], which is a wish of many [ 3 ]. This intervention could also help to reduce the need for assistance, usually provided by informal caregivers and health professionals [ 4 , 19 , 30 - 33 ]. Furthermore, RCSs could lead to a reduction in individual and collective health care expenses [ 4 , 32 , 34 ] by easing access to health and social care interventions to a wide population, including hard-to-reach (eg, geographically isolated) individuals. However, although the use of health-related RCSs could have many benefits, several ethical issues arise with their development and implementation in human environments [ 3 , 35 - 38 ].

An Ethical Framework for the Use of Technologies for Older Adults

For RCSs to contribute to active and healthy aging, it is important that all the stakeholders (engineers, geriatricians, psychologists, etc) involved in their design and implementation refer to an ethical framework [ 3 , 38 ]. It is also important to inform society (politicians and legal experts) about such an extension of technology in people’s lives (private, professional, medicosocial, and commercial context), so that we can create a legal framework for the use of these technologies. An analysis of the way in which ethical and legal dimensions have been addressed by studies, in the field of RCSs for health care, seems useful to support the key actors in their development and implementation. The growing interest in the ethical questions associated with the use of social and assistive robots is evidenced by the volume of literature reviews [ 3 , 12 , 18 , 31 , 32 , 37 , 39 - 51 ] on the topic.

Now, it appears appropriate to systematically examine this body of work, focusing on the ethical analysis, and provide an overview of the literature. Therefore, we performed a review of the literature on RCSs for older adults using the European Network of Health Technology Assessment (EUnetHTA Core Model; version 3.0) model [ 52 ] for analysis. This Health Technology Assessment (HTA) model makes it possible to assess the intended and unintended consequences of the use of a specific technology regarding multiple domains (eg, technological, ethical, clinical, and organizational), providing methods and concepts for this analysis [ 53 ]. Therefore, HTA is a process that informs decision-making about the introduction of new technologies such as RCSs in health care. It also seems necessary to issue guidelines for the development and implementation of health-oriented RCSs [ 54 ].

The objective of this study was to highlight the main ethical questions and corresponding recommendations linked to the use of RCSs for older adults for engineers, researchers, and health professionals in this field. For this purpose, we conducted a narrative literature review using the ethical dimension of the EUnetHTA Core Model to guide the analysis. To the best of our knowledge, such a study has not been conducted so far.

A thematic analysis of the literature was performed to identify publications that describe RCSs for supporting older adults in health care and prevention and those that address ethical issues and recommendations regarding their development and implementation. The methodology used for the narrative review was inspired by the study by Green et al [ 55 ].

Inclusion and Exclusion Criteria

The review encompassed papers focusing on all populations, with particular attention to older adults. It focused on the concept of RCSs for health, while also incorporating publications discussing other health technologies for older adults if the authors have delved into relevant ethical considerations for their development or implementation.

The context of the review revolved around the use of RCSs (or related technologies), especially for older adults, across diverse living environments such as homes, hospitals, and nursing homes. Publications addressing RCSs and related ethical issues within the health care domain were considered, whereas those focusing solely on technical aspects (eg, AI and deep learning) or those outside the health care domain were excluded.

Various types of publications, including theoretical papers, research studies, and reviews, were included if they offered ethical reflections or recommendations for RCS use in health care. These reflections and recommendations were expected to align with the topics and issues of the ethical dimension of the EUnetHTA Core Model.

All publications, regardless of language (English or French), were eligible if published after 2011. This time frame was chosen considering the technological advancements over the past decade, which may have influenced the evolution of ethical issues and recommendations in the field of remote care systems and related technologies. Textbox 1 summarizes the inclusion and exclusion criteria adopted for the selection of papers in this review.

Inclusion criteria

Types of participants: all populations
Interventions or phenomena of interest: RCSs or other technologies used in health care, if ethical issues are discussed
Context: the use of RCSs in the health care sector
Paper type: all paper types (theoretical papers, research studies, and reviews) that discuss ethical issues
Language: English or French
Date of publication: after 2011

Exclusion criteria

Types of participants: not applicable
Interventions or phenomena of interest: RCSs or all other types of technology outside the health care sector
Context: the use of RCSs in non–health care sectors
Paper type: papers about RCSs and other technologies that are not dealing with ethical issues
Language: all other languages
Date of publication: before 2011

Search Strategy and Study Selection

The review was conducted using the following keywords: “seniors,” “older adults,” “social robots,” “assistive robots,” “assistive technology,” “robots,” “virtual coach,” “e-coaching,” “coaching system,” “coaching device,” “ethics,” and “recommendations.”

The review was performed between August 2021 and December 2021 using the PubMed, CINAHL, Embase, Scopus, Web of Science, IEEE Explore, SpringerLink, and PsycINFO databases.

This search allowed us to find 4928 initial publications. Then, secondary research using references from other articles and the same inclusion criteria was conducted. This search allowed us to find 13 additional papers.

In total, 4943 papers were analyzed. The selection of the final publications was performed after reading the title and abstract first and, then, the full article. This selection process helped us to exclude irrelevant papers and duplicates ( Figure 1 ). In total, 0.51% (25/4943) of the papers were included in our review.

Data Analysis Criteria

The selected papers were analyzed using the ethical domain of the EUnetHTA Core Model [ 52 ]. Proper registration of the use of EUnetHTA Core Model for the purpose of this review was made on the HTA Core Model website [ 52 ].

The model was developed for the production and sharing of HTA information, allowing for the support of evidence-based decision-making in health care, but it can also be customized to other research needs. The EUnetHTA Core Model is composed of 9 domains, each including several topics. Each topic also includes different issues (ie, questions that should be considered for the evaluation of health technologies). Thus, the model is structured into 3 levels: domain (level 1), topic (level 2), and issue (level 3). The combination of a domain, topic, and issue is linked to an assessment element ID, which can be identiﬁed using a speciﬁc code for standardization purposes (B0001, B0002, etc).

The main EUnetHTA model domains include the following: (1) health and current use of the technology, (2) description and technical characteristics of the technology, (3) safety, (4) clinical effectiveness, (5) costs and economic evaluation, (6) ethical aspects, (7) organizational aspects, (8) patient and social aspects, and (9) legal aspects.

The ethical domain (level 1) in the EUnetHTA Core Model [ 52 ] includes 5 topics (level 2): “benefit-harm balance,” “autonomy,” “respect for people,” “justice and equity,” and “legislation.” Each of these topics includes several issues (level 3) [ 52 ].

In this study, 2 authors (CP and ASR) independently analyzed the 25 selected articles. First, they read the articles several times to improve familiarity with the ideas addressing the ethical aspects of RCSs. Then, in each publication (methods, results, and discussion sections), they identified segments of data that were relevant or captured an idea linked to the “ethical” domain of the model. A subsequent exploration of the coded data (sentences or set of statements) was performed to get a more precise classification at the topic level (level 2) and at the issue level (level 3). Then, the coding was performed using the HTA nomenclature. The 2 experts (CP and ASR) compared their results. In a few cases, the coding results showed a lack of consensus between the 2 coding authors, which was resolved through a subsequent discussion between them. Interrater correlation was not calculated.

A thematic analysis using the EUnetHTA framework for conducting a literature review has been described in other studies [ 56 , 57 ]. Furthermore, the use of EUnetHTA to perform an ethical analysis of health technologies has already been proposed [ 58 ]. The 25 selected articles were all coded using this methodology. Some authors have previously emphasized the possibility of overlapping issues between topics in the HTA analysis. They have suggested to assess the overlapping issues in the most relevant topic section [ 59 ].

This review was not registered, and a protocol for the review was not prepared.

Selected articles are presented in Multimedia Appendix 1 [ 3 , 12 , 18 , 31 , 32 , 37 - 51 , 60 - 64 ]. For each topic, we have presented our findings in terms of questions and recommendations according to the EUnetHTA Core Model, wherever possible.

Ethical Issues and Recommendations for the Use of New Technologies

This section aims to summarize the ethical analysis performed regarding the use of RCSs with older adults and to provide recommendations for ethical use of these devices. Table 1 presents a synthetic summary of the elements presented in this section.

Topic and ethical issues (European Network of Health Technology Assessment Core Model)		Ethical concerns	Recommendations

	What are the known and estimated benefits and harms for patients when implementing or not implementing the technology?
	What are the benefits and harms of the technology for relatives, other patients, organizations, commercial entities, society, etc?
	Are there any unintended consequences of the technology and its application for patients?

	Is the technology used for individuals who are especially vulnerable?
	Does the implementation or use of the technology affect the patient’s capability and possibility to exercise autonomy?

	Does the implementation or use of the technology affect human dignity?
	Does the technology invade the sphere of privacy of the patient or user?

	How does implementation or withdrawal of the technology affect the distribution of health care resources?
	How are technologies with similar ethical issues treated in the health care system?

	Can the use of the technology pose ethical challenges that have not been considered in the existing legislations and regulations?

Topic 1: Benefit-Harm Balance

RCSs should be developed according to the principles of beneficence (ie, to promote the interest of users) and nonmaleficence (ie, to avoid inflicting harm) [ 39 , 60 , 64 ].

What Are the Known and Estimated Benefits and Harms for Patients When Implementing or Not Implementing the Technology?

Risk of social isolation.

According to Sharkey and Sharkey [ 50 ], technological devices, when used appropriately, could benefit older adults by promoting social interaction and connection with their loved ones [ 4 , 31 , 40 ]. Broadbent et al [ 19 ] have discussed the potential of robots to reduce older adults’ social isolation. However, other authors reported the negative influence of the use of robotic devices on human contact [ 31 , 32 , 65 ]. The use of robots (eg, telepresence robots) to make some cost savings (eg, reducing travel costs and time spent on trips for family and professionals to visit older adults) would reduce face-to-face interactions [ 3 , 36 , 39 , 40 ]. Moreover, according to Körtner [ 47 ], the more people become accustomed to communicating with robots, the less they will be used to communicating with humans. The use of social robots could lead to a reduction of interactions with humans and thus to social isolation and emotional dependence [ 39 ]. However, the influence of technological devices, such as RCSs, on social isolation is still under debate, and the impact of technology would depend on the manner in which it is used.

To avoid exacerbating the users’ social isolation, Portacolone et al [ 38 ] advocate that social robots and similar technologies should be designed with the objective of fostering interactions with other humans, for instance, keeping users informed about the entertainment and socializing activities near their home, connecting them with their loved ones, and so on.

Risk of Deception

Another major risk for users is deception [ 39 , 64 , 66 ]. Portacolone et al [ 38 ] described 3 types of deception that people with neurocognitive disorders may face when interacting with social robotic systems but which may also apply to all users. The first type involves the user’s misconception of what is driving the technological device [ 51 ]. Users may be misled if they think that behind a medical chatbot, there is a real physician who communicates and reads their messages [ 44 ] or, alternatively, if they are not aware that, at some point, there are real humans guiding the technological device [ 38 ]. The second type refers to robotic devices programmed to express feelings or other types of affective communication, which may lead the user to believe that the system’s emotions are authentic. Related to this issue, Körtner [ 47 ] discussed how some older adults may fear that their social robot will forget them during their absence from home. The resemblance with the living in terms of affective behavior (eg, crying, laughing, or expressing concern) can make the user believe that there is a reciprocity between human and robot feelings [ 43 ]. The last type of deception is related to the inadequate interpretations that older adults may have regarding the nature of the robot, for example, thinking that an animal-shaped robot is a real animal or a pet [ 38 ]. Some current developments of social robots tend to make them resemble a living being, in terms of their verbal and nonverbal behaviors [ 34 , 60 ] or by highly anthropomorphizing their design [ 47 ], which may blur the boundary between the real and the artificial [ 45 , 60 ]. These design choices can also impact users’ dignity by infantilizing them as they are led to believe in something that is false [ 50 ].

However, according to some researchers [ 51 , 63 , 64 ], the notion of deception should be considered in terms of the gradation between what is morally acceptable and what is not. Deception would be morally acceptable when it aims to improve a person’s health or quality of life, for example, the use companion robots to calm a person experiencing behavioral disorders linked to dementia [ 51 ].

According to Danaher [ 43 ] and Vandemeulebroucke et al [ 40 ], to avoid deception, it is essential to be transparent to users about the design and operation of devices. As the information given to the participants is the basis for obtaining consent to use the technology, it is essential to offer them documents explaining how the device is built and its advantages and limitations in a clear manner adapted to the user’s knowledge and experience. It is also important to inform users on how to behave with technology [ 12 ]. Researchers should also answer users’ questions, pay attention to their feedback, and use it to improve the device and its documentation [ 60 ]. During experiments with RCSs, it is also important that researchers regularly remind participants of the nature of the technological device to reduce the risk of misinterpretation and to ensure that they still consent to participate in the study [ 38 ].

Biases of Algorithms

An autonomous device does not work without AI or algorithms that allow it to make decisions. However, these technologies are created by humans, and programming biases can be incorporated into them and lead to failures [ 44 ]. A technological device can, for instance, misread a situation and react accordingly, leading to a safety risk for the user [ 18 ]. Thus, it is essential that the researcher scrutinizes the algorithms used in RCSs before their implementation [ 44 ]. Fiske et al [ 44 ] also suggest providing the users with detailed explanations about the algorithms present in the technological device they are using.

What Are the Benefits and Harms of the Technology for Relatives, Other Patients, Organizations, Commercial Entities, Society, Etc?

At the society level, Boada et al [ 39 ] mentioned an ethical consideration related to the ecological impact of robotic devices in the current context of climate crisis and the lack of natural resources. The construction of RCSs requires raw materials, high energy consumption, and the management of their waste. Therefore, it is important for developers to design technologies that consume less energy and can be recycled.

Are There Any Unintended Consequences of the Technology and Its Application for Patients?

Technologies evolving very quickly.

For some older adults, technologies evolve very quickly, which makes it difficult for them to keep up with [ 62 ]. Denning et al [ 67 ] encourage designers to develop products that are intuitive to use or to offer users a simplified training. However, although some technologies are progressing quickly, technological limitations are still present, especially regarding social robotic systems, impacting their performance [ 68 ] and generating frustration among some users [ 69 ].

Unsuitability of Technology

The lack of experience with the technologies and the fact that the systems are not suitable to everyone can reduce the usability and acceptability of RCSs among older adults [ 3 , 60 , 62 ]. Frennert and Östlund [ 62 ] highlighted that some older adults were not confident in their ability to handle a robot because of previous complicated experience with technology. Peek et al [ 70 ] also reported that users had doubts about their ability to use the technology and feared that they would easily forget how to use it. They may also fear false alarms generated by monitoring technologies. For example, a person may decide to sit on the floor, but this behavior can be considered as a fall by the technology, and it could call for an ambulance to be sent to the person’s home in vain [ 70 ].

To promote acceptability and usability of RCSs, it is essential to develop them considering the capabilities, needs, and wishes of various users [ 31 , 47 ]. “User-centered design” approaches should be used for this purpose [ 71 ]. This methodology must be performed in a continuous manner to consider the development, new preferences, and experiences of the users. Technology assessment should also be conducted before deployment in ecological environments to improve the predictability of RCSs and decrease the risk of confusion and accidents [ 40 , 47 ].

Topic 2: Autonomy

According to Anderson and Kamphorst [ 42 ], the notion of autonomy implies the recognition of people, for instance, users of RCSs, as thinking individuals who have their own perspective on matters and are able to judge what is best for them.

Is the Technology Used for Individuals Who Are Especially Vulnerable?

Free and informed consent is a prerequisite for the involvement of an individual in research, regardless of the domain. This aspect is mentioned in numerous codes and declarations such as the Declaration of Helsinki (1964-2008) [ 72 ]. In the context of studies of the use of RCSs, this principle ensures that the person has freely chosen to use a device. However, some older adults, particularly those with cognitive disorders, may have difficulties in understanding and evaluating information related to RCSs and therefore in making appropriate choices [ 3 ]. Moreover, the person may not remember that the RCS is in their environment or how it works [ 38 , 44 ]. The question of how to ensure that the older adult has understood the purpose of RCS and that their choice of using the technology is based solely on their own decision and not that of a relative, caregiver, or institution has also been discussed [ 46 ].

Researchers in the field of RCS should adapt to the cognitive abilities of the populations they work with to facilitate communication and decision-making [ 46 ]. Thus, the observation of the person’s behavior is necessary to identify potential reservations regarding the use of RCSs. When the person is very vulnerable to respond, informed consent could be sought by proxy such as from children, spouse, or partner [ 46 , 64 ]. However, according to Diaz-Orueta et al [ 37 ], the final decision of using RCSs lies with the user. To prevent loss of capacity and to guard against any risk of inducement to participate, advance directives [ 46 , 64 ] or implementation of an advance power of attorney [ 46 ] can be proposed.

Does the Implementation or Use of the Technology Affect the Patient’s Capability and Possibility to Exercise Autonomy?

Dependence on the technology.

Although the main interest of RCSs for older adults is the maintenance of functional independence, it has been claimed that these devices could make people dependent on them. By replacing users in tasks that they can still perform, the use of RCSs could create new forms of vulnerability [ 3 , 31 , 39 , 41 , 51 ].

People could rely entirely on autonomous technological devices, such as RCSs, to guide their behaviors, goals, and actions [ 12 , 73 ]. A questioning of the authenticity of users’ actions has been mentioned by Anderson and Kamphorst [ 42 ]. Users might not feel responsible for the success of their actions if they feel they are completely driven by the guidance of the RCS. People could also develop emotional and psychological feelings toward the technology. This may have negative consequences for the individuals [ 38 , 49 ] and lead to new vulnerabilities [ 39 ].

Loss of Freedom

Another ethical issue relates to the conflict between the user’s safety, encouraged by the technology guidance, and a loss of freedom. The RCS could impose constraints on the user under the pretext that the user’s actions are not good for them [ 39 , 40 , 74 ]. Sharkey and Sharkey [ 50 ] explained that to promote home care, RCS could act as a supervisor (ie, programmed to ensure that no danger is present and, if there is a danger, to implement procedures to stop it and avoid it in the future). For instance, the RCS could prevent the person from eating fatty and high-caloric food because it is harmful to them. To protect users and ensure that they live in good health, individuals using RCSs could end up being deprived of certain actions or being under some type of “house arrest” [ 50 ].

One of the goals of using such RCSs is to support older adults’ independence; therefore, it is essential that developers and researchers in the field take measures to preserve the person’s autonomy [ 75 ]. Furthermore, RCS users must have the opportunity to evaluate and re-evaluate the role given to the device, to assess whether the system is reliable and whether it is serving their interests [ 12 , 42 ].

Creating a New Source of Authority

The use of RCSs could alter human relationships, for example, by creating tensions between older adults and their informal caregivers. Their use could also create some tensions with health care professionals by creating a new source of authority [ 12 ]. Monitoring older adults through RCSs can generate anger in the user, for example, when the device insists that the older adult should take a medication that they do not want to take [ 41 , 75 ].

Topic 3: Respect for Persons

Does the implementation or use of the technology affect human dignity.

Human dignity may be affected by the use of RCSs as these technologies may be perceived as “problem evocators” [ 41 ]. Some RCSs are used to compensate for impaired capacities. However, according to Körtner [ 47 ], their use can make older adults aware of their limitations and lead to negative feelings, anxiety, or exhaustion. RCS use can also lead to a form of stigmatization by making one’s own inabilities visible to others [ 3 , 70 ]. It is important to have positive communication regarding RCSs, to provide a less stigmatizing view of their use.

Does the Technology Invade the Sphere of Privacy of the Patient or User?

To continue living at home, users are increasingly willing to tolerate intrusion in their privacy [ 70 ], but they are not always aware of when and how they are being monitored by RCSs [ 61 ]. Portacolone et al [ 38 ] provided the example of an animal-shaped companion robot, for which the older adults can signal that they no longer wish to interact with it by putting the robot to sleep. However, the animal-shaped robot can record data even when it is sleeping, but users are not always aware of this information. Forgetfulness and the lack of understanding of the device can lead to the risk of manipulation and coercion [ 44 ]. The person who is vulnerable may forget that they are being monitored and reveal personal information [ 50 ].

Technological devices, such as RCSs, must remain under the control of the users [ 47 ]. Users should have the ability to define when and where the device is used—when it collects data—to maintain their privacy, especially in intimate or private care settings.

Security of Data

According to Portacolone et al [ 38 ], remote monitoring technologies are usually controlled by third parties, sometimes even operating in another country, which can lead to cultural biases during the interaction between the older adult and the RCS. This context involves the risk that the person controlling the device (third party) takes advantage of the older adult’s vulnerability to steal their personal information or exposes the user to financial abuse [ 38 ]. Older adults are not always aware or vigilant about the sharing and use of data, which may be personal and sensitive [ 73 ]. Furthermore, RCSs can be connected to internet services that collect, store, and transfer these sensitive data [ 47 ] for commercial use [ 49 , 61 ].

In addition, the use of technologies connected to digital networks involves the risk of hacking and unauthorized surveillance [ 34 , 51 ], which can make people vulnerable [ 62 ]. Denning et al [ 67 ] found that home robots could not only be remotely located and identified but also hacked and controlled. First, users may have either preconceived and erroneous ideas about the capabilities of the device or a lack of knowledge to evaluate the safety, especially regarding data protection [ 3 ]. Second, users do not always configure their technological device correctly or update them [ 67 ].

Encryption or security systems must be put in place to protect users’ personal data captured by the devices at every stage: during collection, storage, transmission, and processing [ 3 ]. Researchers must also give particular attention to data security. In Europe, for instance, researchers and technology providers are required to comply with the General Data Protection Regulation [ 40 , 76 ]. Data collection must be performed legally or approved by the local relevant ethical committees.

To address data security challenges, 3 principles are recommended by Ienca et al [ 46 ] when developing technological devices: transparency, legitimate purpose, and proportionality. Transparency refers to the fact that the user knows that the system is collecting data and has consented to it. The user must also have precise information about when and what type of data are recorded and who has access to them [ 47 ]. Legitimate purpose refers to the notion that the monitoring and collection of data is performed for a specific purpose, (ie, in the best interest of the user or, if applicable, a relative who has consented to it). Finally, the principle of proportionality refers to the fact that the data collected are not disproportionate to the user’s needs.

Topic 4: Justice and Equity

The consequences of the technology implementation on the distribution of health care resources was discussed in the literature.

How Does Implementation or Withdrawal of the Technology Affect the Distribution of Health Care Resources?

Societal pressure.

Socioeconomic issues are also linked to the development and use of RCSs can also be raised. Individual freedom may be hindered by the “incentive” of certain stakeholders or authorities to enforce the use of RCSs [ 37 ]. The use of RCSs and similar systems may also lead to a lesser involvement of relatives, caregivers, and institutions that provide care to older adults and to the reduction of care costs; these perceived economic benefits may pressurize older adults to consent to use these devices [ 40 , 46 ]. It is also possible that older adults may have to agree to use the technological device to receive other health care benefits (eg, aids and subsidies) [ 42 ].

Digital Divide

Different opportunities to access RCSs can result in digital divide, defined by the Organisation for Economic Cooperation and Development [ 77 ] as a gap between those who have access to information and communication technologies and those who do not. This difference can create educational, economic, social, and even health-related disparities among citizens. Some citizens would be able to use these devices and, therefore, could benefit from their advantages, whereas others will not be able to use them and will not enjoy their benefits. The use of technologies in the health care context, through public or private institutions, should be subject to previous authorization by independent ethical committees to ensure that the use of these devices will not harm users in any way.

Inequalities in Resources

Questions about justice, equity, and equality among all citizens also arise [ 12 , 40 , 46 ]. RCSs have relatively high costs [ 64 ] and can generate additional expenses such as an internet subscription [ 3 ] that only a part of the population can afford, and this may be owing to the lack of research allowing to measure the cost-to-benefit ratio of these technologies on health [ 32 ]. It is important to ensure the access to RCSs among different living areas (ie, urban and rural). Therefore, involving municipalities and neighborhood associations seems an interesting way of raising awareness about the opportunities offered by RCSs for older adults and reaching a wider range of people.

To promote justice, equity, and fair distribution, Ienca et al [ 46 ] and Wangmo et al [ 64 ] recommend reducing the development costs of RCSs by promoting an open dissemination of source codes. In addition, RCSs should be distributed in priority to those in greatest need; therefore, measures to ensure access to RCSs under fair conditions should be established [ 51 ]. Joachim [ 78 ] also suggests to cover some of the costs of these health care–oriented technologies through health insurance.

Recommendations have been published by researchers to improve equality of access to technologies, such as using open-source software, providing priority access for individuals with low income, or relying on certain collective financing systems such as retirement or health insurance [ 46 , 51 , 78 ]. Discussions must be conducted among developers, legislators, and private and public organizations to identify viable financing solutions that allow for fair distribution of RCSs.

Replacement of Professionals

Researchers have also reported fears expressed by older adults and caregivers about how the use of technological devices could eliminate care-related jobs or replace humans [ 17 , 34 , 48 , 61 ]. There are also concerns about the use of these technological tools to reduce health care costs by decreasing the number of available health care resources and services, thereby exacerbating social inequalities [ 44 ]. The introduction of health-oriented RCSs requires adapting the contexts of care practices, which may threaten their quality [ 39 ]. Their incorporation into the care work environment can be difficult because the devices are automated and some care situations are unpredictable [ 17 , 62 ]. Furthermore, the gestion of certain tasks by technological devices requires a restructuring of the roles and responsibilities of caregivers [ 39 ]. Fiske et al [ 44 ] highlight that there are currently no recommendations or training to enable health care professionals to adopt RCSs, even though these professionals are increasingly confronted with technological devices in their practice.

The incorporation of RCSs must always be accompanied by a discussion with concerned care professionals regarding the advantages and limits of the technology. Professionals must also be supported in the use of these devices through effective training. Structured training and supervision will contribute to the development of a controlled framework of practice around the use of RCSs and thus avoid potential abuse [ 44 ]. Moreover, to encourage their use among professionals, it is essential to clearly define the role of RCSs as an additional resource for professionals and not a replacement of human care services [ 44 ].

Topic 5: Legislation

The ethical challenges linked to the lack of existing legislations and regulations dedicated to the use of the technology were discussed in the literature.

Can the Use of the Technology Pose Ethical Challenges That Have Not Been Considered in the Existing Legislations and Regulations?

Safety of devices.

The use of RCSs by older adults can result in damage and harm to their environment [ 79 ], especially when the device is still at the prototype stage [ 47 ]. Safety risks linked to the use of RCSs (eg, malfunctioning of the technology and incorrect decisions made by the coaching system) arise when they share a common space with humans and interact with them [ 39 ]. The following questions must be considered: Who is responsible in case of an accident, and who pays for the damages [ 39 , 40 , 48 , 62 , 80 ]? Is it the designer, the device, or the user himself? Currently, the civil code favors the cascade system (ie, first, the liability falls on the designer of the product; then, on the developer; and finally, on the user who has not followed the rules of use) [ 74 ]. However, the more the machine becomes autonomous, the less the existing legal frameworks can answer these questions [ 80 ]. This is a key legal issue regarding the implementation of RCSs in real settings because the person responsible for damage to the user or the environment may incur legal or even penal proceedings.

Damage and prejudice can also be caused by a failure to share authority [ 45 , 49 , 60 ]. Who between the human and the technological device holds the power to make decisions and control a functionality [ 81 ]? According to Grinbaum et al [ 45 ], it is important to specify the circumstances in which the human must take control over the technological device (RCS) and those in which the device should decide autonomously. According to Riek and Howard [ 49 ], it is preferable that in certain cases, the technological device, although autonomous, requires a human validation of its actions to keep the user in control of the device. In addition, Bensoussan and Puigmal [ 80 ] suggested the idea that technological devices must have an emergency stop button, so that the human can switch off the technology at any time.

Regulation of Technology

Currently, there is a gray area between the capabilities of RCSs, the reality of the field, and the regulations in force [ 38 ]. To accompany the researcher during the whole process of development and diffusion of RCSs, an ethical framework should be established [ 18 , 60 ]. Specifically, this can be in the form of an ethical code of conduct illustrating the expectations to all the employees of a company [ 18 ]. The researcher must regularly inform themselves about the ethics to be consistent with the evolution of the regulatory framework [ 60 ]. However, according to Nevejans [ 82 ], these ethical recommendations have no legal value and cannot protect humans from the damage caused by new technologies. Thus, it is necessary to think about a new legal framework to protect the users of RCSs [ 37 ].

The use of technologies, such as RCSs, in the health care field has grown significantly in recent years [ 17 , 18 ]. RCSs are increasingly being used for older adults with the aim of promoting healthy behaviors, quality of life, and well-being. However, the use of RCSs also raises several ethical challenges regarding the cost-to-benefit balance of these new care practices, respect for the autonomy of users, respect for privacy, justice and equity linked to their access, or need for a suitable legal framework. Such challenges could be addressed by establishing relevant recommendations for the development and use of RCSs. Some guidelines regarding the use of robotic systems have been published [ 49 , 83 ]. Moreover, in April 2021, the European Commission unveiled the first legal framework about AI [ 84 ]. However, to the best of our knowledge, no recommendations have been proposed in this field directly linked to an analysis of the literature dealing specifically with these ethical issues and potential solutions to address them.

This narrative review identified 25 articles in which authors highlighted ethical issues and recommendations related to the use of RCSs and similar technologies. The use of the EUnetHTA Core Model for the analysis of these articles made it possible to classify the information retrieved in the publications according to 5 main ethical topics—“benefit-harm balance,” “autonomy,” “respect for persons,” “justice and equity,” and “legislation”—and to provide a detailed analysis of RCS-related ethical issues. Our review also aimed to identify recommendations for better development, diffusion, and use of RCSs by a population of older adults.

Technology devices, such as RCSs, are used with older adults to enable them to live independently; to enhance their quality of life and well-being; and, therefore, to cope with the increasing care demands for older populations. RCSs may be used to encourage a range of health-related goals: physical, cognitive, nutritional, social, and emotional domains. To be effective, RCSs must be able to motivate the user by providing highly personalized care programs [ 85 , 86 ]. However, studies have shown that not all potential target users are included in the development of these devices [ 37 , 87 , 88 ]. Therefore, RCSs design might fail to meet a wide range of users’ needs, capabilities, and wishes. Thus, it is essential to apply “user-centered design” approaches and involve target users with various sociodemographic characteristics and technology experience throughout the development process. A strong involvement of the intended users of these systems in their design process would also improve the quality of the information provided to potential users of RCSs regarding their operation, type of data collected, and potential benefits of the technology. In this way, the involvement of the users would improve the quality of the process of obtaining the consent required from older adults to use the technology.

Another ethical challenge related to the use of RCSs is the fact that their wide implementation for older adults’ care may affect the distribution of health care resources. For instance, it has been found that for some older adults and informal and formal caregivers, the use of RCSs could replace humans in many caregiving tasks, eventually leading to a suppression of jobs or to a degradation of the quality of health care services [ 17 , 34 , 48 , 61 ]. In this regard, the participation of a third person (professional, volunteer, or family member) as a “human coach” could be considered when implementing RCSs in the older adults’ environment. This “human coach” could help build a “chain of trust” by being an intermediary between the RCS and the user. On the one hand, the involvement of a real person in the use of the RCS could reduce the risk of replacement of human assistance by technological assistance. On the other hand, the “human coach” could help enhance the acceptability and usability of the device, while at the same time, reassuring the user and providing recommendations to the developers, so that the RCS is consistent with users’ needs and desires. However, the benefits of involving a “human coach” in the RCS service provision has yet to be evaluated by scientific studies.

According to some studies [ 3 , 39 , 41 , 51 , 65 ], the use of RCSs can have an impact on social relationships, reducing human contact and even altering social relationships by creating tension between older adults and their caregivers. Thus, it would be interesting to identify the repercussions and implications of these devices in older adults’ daily life and in the life of the members of their social environment through new studies. It also seems necessary to evaluate the organizational impact of the implementation of RCSs and to identify potential obstacles to their use in the care professionals’ work context.

Our analysis also confirmed that for RCSs to provide personalized health-related recommendations, the collection of sensitive data is necessary. Data collection in this context also raises several ethical issues. For instance, personal data can be exposed to hacking and misuse. Proper data management, anonymization, and encryption are essential to protect the personal data of RCS users [ 86 ]. In addition, researchers and developers in this field must evaluate RCSs before implementation to ensure that they do not cause physical or moral harm to users. Thus, it has been suggested that stakeholders refer to local and regional regulatory and safety standards to guide their development and use.

Finally, our analysis also discussed how legal and ethical frameworks regarding the use of RCSs need to be adapted to cope with the constant development of new technologies. So far, existing legal frameworks are not yet adequate to respond effectively to the question of liability in case of damage caused by RCSs, particularly because these devices are becoming increasingly autonomous [ 80 ]. The establishment of “operational ethics committees in digital sciences and technologies” could help in the development and conduct of projects in this area [ 60 ]. Guidelines should be established to identify the types of applications and technological devices that require regulatory review and approval [ 44 ]. Research projects and working groups involving users, researchers, and lawyers should be set up to further investigate the legal and ethical issues related to the use of RCSs.

Some countries and regions, such as Europe and Japan have initiated the work of structuring relevant legal and ethical frameworks; however, their orientations and measures may differ culturally [ 78 ]. Future studies in the area of RCSs could consider the influence of cultural and socioeconomic specificities of the contexts of experimentation (countries and regions) regarding the acceptance and use of RCSs by older adults and formal and informal caregivers and regarding the definition of ethical and legal frameworks governing their uses. Therefore, the use of validated and widely applied analysis frameworks, for example, the Western, Educated, Industrialized, Rich and Democratic framework [ 89 ], formulated to measure countries’ commonalities in their approaches to the interpretation of behavioral research findings (eg, regarding technology adoption) could be interesting. The Western, Educated, Industrialized, Rich and Democratic framework [ 89 ] could help not only to explore the differences among countries regarding the validation and adoption of new technologies for older adult care but also to seek greater cultural and demographic diversity in technology research.

This dimension of cross-cultural comparison has received particular attention in the framework of a current international research partnership between Europe and Japan, such as the EU-Japan Virtual Coach for Smart Ageing (e-VITA) project. This project aims to develop a cross-cultural RCS that can be tailored to the needs of healthy older adults to promote aging well. The e-VITA RCS will be made available to older adults in their homes, which raises many of the ethical questions discussed in this paper. Therefore, the study will require the researchers to set up procedures adapted not only to the users but also to the 2 cultures (European and Japanese), respecting the corresponding ethical and legal regulations. Thus, it would be interesting to perform an analysis of the ethical issues raised by users from different countries and cultures within the framework of the e-VITA project.

Limitations

A narrative review of the literature was conducted to provide a nonexhaustive synthesis of the various ethical concerns and recommendations when using RCSs for older adults. This review has some limitations. Only articles in French and English were included. Some articles indicating ethical concerns or recommendations may not have been included when this information was not mentioned in the keywords or abstract.

Conclusions

The use of RCSs in the context of health care, particularly with an older adult population, tends to show many benefits. RCSs have the potential to improve the quality of life of older adults and their independence. When used in an ethical and appropriate manner, RCSs can help improve older adults’ emotions and cognitive and physical abilities and promote social relationships. By helping older adults to continue living at home for as long as possible, the use of health-oriented RCSs could help to address some of the challenges resulting from demographic aging. However, the use of these new health care technologies involves some ethical concerns, with the most cited issues being not only the risk of accidents, lack of reliability, loss of control, risk of deception, and risk of social isolation but also the confidentiality of data and liability in case of safety problems.

Some recommendations have been made in the past regarding the use of social and assistive robotic technologies for older adults, such as considering the opinion of target users; collecting their consent; training the care professionals to use them; and ensuring proper data management, anonymization, and encryption. However, the integration of RCSs in current health practices and, particularly, in the private homes of older adults can be disruptive. It requires the establishment of scalable and adapted ethical and regulatory frameworks that follow the technology progress and the social and digital change of society Thus, studies are needed to identify new ethical concerns arising from the organizational impact of the implementation of RCSs in different contexts, especially in the homes of older adults. The influence of cultural and socioeconomic specificities of the contexts of experimentation (countries and regions) regarding the acceptance and use of RCSs by older adults and formal and informal caregivers is also an area of interest for future studies.

Acknowledgments

This paper is a part of the EU-Japan Virtual Coach for Smart Ageing (e-VITA) project, which aims to develop a robotic coaching system for older adults [ 90 ]. The authors thank the collaborators who made this project possible: European Commission and Assistance Publique–Hôpitaux de Paris (Délégation à la Recherche Clinique et à l’Innovation). This review was based on data collected within the e-Vita project, funded by the European Union H2020 Program (grant 101016453) and the Japanese Ministry of Internal Affairs and Communication (Ministry of Internal Affairs and Communication; grant JPJ000595).

Data Availability

Data sharing is not applicable to this paper as no data sets were generated or analyzed during this review.

Conflicts of Interest

None declared.

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Abbreviations

artificial intelligence

European Network of Health Technology Assessment

EU-Japan Virtual Coach for Smart Ageing

Health Technology Assessment

robotic coaching solution

Edited by A Mavragani; submitted 12.04.23; peer-reviewed by J Sedlakova, S Liu; comments to author 20.08.23; revised version received 22.12.23; accepted 12.03.24; published 18.06.24.

©Cécilia Palmier, Anne-Sophie Rigaud, Toshimi Ogawa, Rainer Wieching, Sébastien Dacunha, Federico Barbarossa, Vera Stara, Roberta Bevilacqua, Maribel Pino. Originally published in the Journal of Medical Internet Research (https://www.jmir.org), 18.06.2024.

This is an open-access article distributed under the terms of the Creative Commons Attribution License (https://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work, first published in the Journal of Medical Internet Research, is properly cited. The complete bibliographic information, a link to the original publication on https://www.jmir.org/, as well as this copyright and license information must be included.

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10 Research Question Examples to Guide Your Research Project

10 Research Question Examples to Guide your Research Project

Published on October 30, 2022 by Shona McCombes . Revised on October 19, 2023.

The research question is one of the most important parts of your research paper , thesis or dissertation . It’s important to spend some time assessing and refining your question before you get started.

The exact form of your question will depend on a few things, such as the length of your project, the type of research you’re conducting, the topic , and the research problem . However, all research questions should be focused, specific, and relevant to a timely social or scholarly issue.

Once you’ve read our guide on how to write a research question , you can use these examples to craft your own.

Research question	Explanation
	The first question is not enough. The second question is more , using .
	Starting with “why” often means that your question is not enough: there are too many possible answers. By targeting just one aspect of the problem, the second question offers a clear path for research.
	The first question is too broad and subjective: there’s no clear criteria for what counts as “better.” The second question is much more . It uses clearly defined terms and narrows its focus to a specific population.
	It is generally not for academic research to answer broad normative questions. The second question is more specific, aiming to gain an understanding of possible solutions in order to make informed recommendations.
	The first question is too simple: it can be answered with a simple yes or no. The second question is , requiring in-depth investigation and the development of an original argument.
	The first question is too broad and not very . The second question identifies an underexplored aspect of the topic that requires investigation of various to answer.
	The first question is not enough: it tries to address two different (the quality of sexual health services and LGBT support services). Even though the two issues are related, it’s not clear how the research will bring them together. The second integrates the two problems into one focused, specific question.
	The first question is too simple, asking for a straightforward fact that can be easily found online. The second is a more question that requires and detailed discussion to answer.
? dealt with the theme of racism through casting, staging, and allusion to contemporary events?	The first question is not — it would be very difficult to contribute anything new. The second question takes a specific angle to make an original argument, and has more relevance to current social concerns and debates.
	The first question asks for a ready-made solution, and is not . The second question is a clearer comparative question, but note that it may not be practically . For a smaller research project or thesis, it could be narrowed down further to focus on the effectiveness of drunk driving laws in just one or two countries.

Note that the design of your research question can depend on what method you are pursuing. Here are a few options for qualitative, quantitative, and statistical research questions.

Type of research	Example question
Qualitative research question
Quantitative research question
Statistical research question

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What are Common Problems Faced by Students in School?

List of The Common Problems Faced by Students in School

Student social media users mentioned many interesting problems they faced in school. The majority of this #StudentProblems101 are classroom problems such as difficulty in understanding lessons, humiliation, stress, and boredom. Personal problems, on the other hand, include sleep deprivation and miserable weekends and holidays due to homework.

Poor Teaching

Poor teaching according to one study is associated with teacher’s lack of care and concern, poor social relationships, and insensitiveness to students learning requirements. In fact, student’s cognitive learning and enjoyment are highly dependent on the quality of teaching. The reason is that poor teachers decreased students’ self-confidence and motivation for learning and increase their anxiety while in the classroom.

Humiliation

Classroom problem such as humiliation according to these social media users commonly occur when the teacher mention his or her name as an example of a bad student. For instance, “Study hard and don’t be late like Paul.” According to the result of the study conducted by Breaux and Whittaker, most participants experienced humiliation from a teacher. Offensive teachers are those who humiliate students, blame students for problems in the classroom and engage in sarcasm. They are mean and cruel, play favorites, and self-centered.

Stress Boredom

Students with teachers who take pride in punishing students often experience stress and boredom. For instance, some teachers systematically overload students with content and impose nearly unattainable objectives, make test difficult, and punish students with low grades. Indolent teachers, on the other hand, are those who deliver boring lectures, lack basic teaching skills, arrived late, neglect to grade homework, and make their classes too easy.

There Is No Place Like Home

Students are young people with natural curiosity and eagerness to learn. However, they are also outgoing people with interest other than school. Putting pressure on a young person, therefore, is counterproductive and may lead to some negative attitude towards learning. For instance, a teenager consistently deprived of sleep and missed out things such as family gets together, sport events, and so on, because of homework, may eventually hate homework and school. Young people tend to see social demands of school life extremely difficult when they spend most of their days in study tables.

Study of issues in education suggests that most students seem to misbehave and hate school when they put much more time in homework. This is because young people need to play, spend time with family and friends, and do things they love. Although homework according to several studies has positive effects particularly in high school, the result of other studies suggests that it greatly affect students’ feelings and attitudes about school negatively. These include loss of interest in academic material and physical and emotional stress.

In reality, homework robs students of valuable leisure and family time and time to spend on developing other interest. Moreover, excessive lesson time and homework time eventually result to burn out or students alienation from the academic material. In fact, study shows that some students left school because of homework and exacerbate the division between high and low-income families. For instance, students from more progressive backgrounds are likely to have more time and parental support than those with disadvantaged demographic backgrounds.

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45 Research Problem Examples & Inspiration (2024)
45 Research Problem Examples & Inspiration. A research problem is an issue of concern that is the catalyst for your research. It demonstrates why the research problem needs to take place in the first place. Generally, you will write your research problem as a clear, concise, and focused statement that identifies an issue or gap in current ...
How to Define a Research Problem
A research problem is a specific issue or gap in existing knowledge that you aim to address in your research. You may choose to look for practical problems aimed at contributing to change, or theoretical problems aimed at expanding knowledge. Some research will do both of these things, but usually the research problem focuses on one or the other.
What is a Research Problem? Characteristics, Types, and Examples
A research problem is a gap in existing knowledge, a contradiction in an established theory, or a real-world challenge that a researcher aims to address in their research. It is at the heart of any scientific inquiry, directing the trajectory of an investigation. The statement of a problem orients the reader to the importance of the topic, sets ...
1. Choosing a Research Problem
A Research Problem is Not a Thesis Statement. A thesis statement and a research problem are two different parts of the introduction section of your paper. The thesis statement succinctly describes in one or two sentences, usually in the last paragraph of the introduction, what position you have reached about a topic. It includes an assertion ...
The Research Problem & Problem Statement
If you're new to academic research, you're bound to encounter the concept of a "research problem" or "problem statement" fairly early in your learning journey.Having a good research problem is essential, as it provides a foundation for developing high-quality research, from relatively small research papers to a full-length PhD dissertations and theses.
Research Problem
Feasibility: A research problem should be feasible in terms of the availability of data, resources, and research methods. It should be realistic and practical to conduct the study within the available time, budget, and resources. Novelty: A research problem should be novel or original in some way.
The Research Problem/Question
A research problem is a definite or clear expression [statement] about an area of concern, a condition to be improved upon, a difficulty to be eliminated, or a troubling question that exists in scholarly literature, in theory, or within existing practice that points to a need for meaningful understanding and deliberate investigation. A research ...
Research Problem
Research is a procedure based on a sequence and a research problem aids in following and completing the research in a sequence. Repetition of existing literature is something that should be avoided in research. Therefore research problem in a dissertation or an essay needs to be well thought out and presented with a clear purpose.
Writing a Research Paper Introduction
Table of contents. Step 1: Introduce your topic. Step 2: Describe the background. Step 3: Establish your research problem. Step 4: Specify your objective (s) Step 5: Map out your paper. Research paper introduction examples. Frequently asked questions about the research paper introduction.
Writing Strong Research Questions
A good research question is essential to guide your research paper, dissertation, or thesis. All research questions should be: Focused on a single problem or issue. Researchable using primary and/or secondary sources. Feasible to answer within the timeframe and practical constraints. Specific enough to answer thoroughly.
PDF Identifying a Research Problem and Question, and Searching Relevant
A research problem, or phenomenon as it might be called in many forms of qualitative methodology, is the topic you would like to address, investigate, or study, whether descriptively or experimentally. It is the focus or reason for engaging in your research. It is typically a topic, phenomenon, or challenge that you are interested in
How to Write a Statement of the Problem in Research
The problem statement is a foundation of academic research writing, providing a precise representation of an existing gap or issue in a particular field of study.. Crafting a sharp and focused problem statement lays the groundwork for your research project. It highlights the research's significance.; Emphasizes its potential to influence the broader academic community.
What is a Research Problem? Definition, Importance and ...
A research problem statement should be clear, concise, and specific, outlining the issue, its context, and significance. While a research problem is a broad statement of the primary issue ...
Choosing a Research Problem
A research problem is the main organizing principle guiding the analysis of your paper. The problem under investigation offers us an occasion for writing and a focus that governs what we want to say. It represents the core subject matter of scholarly communication, and the means by which we arrive at other topics of conversations and the discovery of new knowledge and understanding.
(PDF) Identifying and Formulating the Research Problem
Parlindungan Pardede Research in ELT (Module 1) 1. Identifyin g and Fo rmulatin g the Researc h Problem. Parlindungan Pardede. [email protected]. English Education Department. Universitas ...
5 Sources of a Research Problem: The Complete Guide
2. Personal Experiences. Your everyday experiences are a good source of research problem. You have to think critically about your personal experiences with an issue that affects your family, your personal life, or your community. A research problem derived from personal experience can spring from any issue and from anywhere.
Research Problems and Hypotheses in Empirical Research
ABSTRACT. Criteria are briefly proposed for final conclusions, research problems, and research hypotheses in quantitative research. Moreover, based on a proposed definition of applied and basic/general research, it is argued that (1) in applied quantitative research, while research problems are necessary, research hypotheses are unjustified, and that (2) in basic/general quantitative ...
The Research Problem/Question
A research problem is a statement about an area of concern, a condition to be improved, a difficulty to be eliminated, or a troubling question that exists in scholarly literature, in theory, or in practice that points to the need for meaningful understanding and deliberate investigation. In some social science disciplines the research problem is typically posed in the form of a question.
1000+ Research Topics & Research Title Examples For Students
A research topic and a research problem are two distinct concepts that are often confused. A research topic is a broader label that indicates the focus of the study, while a research problem is an issue or gap in knowledge within the broader field that needs to be addressed.. To illustrate this distinction, consider a student who has chosen "teenage pregnancy in the United Kingdom" as ...
7 Research Challenges (And how to overcome them)
Take your time with the planning process. "It's worth consulting other researchers, doing a pilot study to test it, before you go out spending the time, money, and energy to do the big study," Crawford says. "Because once you begin the study, you can't stop.". Challenge: Assembling a Research Team.
What Is Research, and Why Do People Do It?
Abstractspiepr Abs1. Every day people do research as they gather information to learn about something of interest. In the scientific world, however, research means something different than simply gathering information. Scientific research is characterized by its careful planning and observing, by its relentless efforts to understand and explain ...
The cancer research flaw uncovered by a Sydney student
The Sydney student who uncovered a 'shocking' problem with global cancer research. Angus Dalton. June 19, 2024 — 5.00am. Normal text size. Larger text size. Very large text size. 0. Leave a ...
Welcome to the Purdue Online Writing Lab
The Online Writing Lab (the Purdue OWL) at Purdue University houses writing resources and instructional material, and we provide these as a free service at Purdue. Students, members of the community, and users worldwide will find information to assist with many writing projects. Teachers and trainers may use this material for in-class and out ...
Defining ethical challenge(s) in healthcare research: a rapid review
Despite its ubiquity in academic research, the phrase 'ethical challenge(s)' appears to lack an agreed definition. A lack of a definition risks introducing confusion or avoidable bias. Conceptual clarity is a key component of research, both theoretical and empirical. Using a rapid review methodology, we sought to review definitions of 'ethical challenge(s)' and closely related terms as ...
How to Define a Research Problem
A research problem is a specific issue or gap in existing knowledge that you aim to address in your research. You may choose to look for practical problems aimed at contributing to change, or theoretical problems aimed at expanding knowledge. Some research will do both of these things, but usually the research problem focuses on one or the other.
Research Paper Topics: List of 200+ Ideas for Research Papers in 2024
23 Art history research paper topics. 24 Psychology research paper topics. 25 Sociology research paper topics. 26 Literature research paper topics. 27 Drugs and drug abuse research paper topics. 28 Education research paper topics. 29 Sports research paper topics. 30 Picking research paper topics advice.
Ethical Issues in Titanic Research: [Essay Example], 688 words
One of the primary ethical concerns in Titanic research is the sanctity of the wreck site. The Titanic wreck is located approximately 12,500 feet below the North Atlantic Ocean, and it is considered a grave site for the many who perished in the disaster. Researchers and explorers who dive to the wreck are often faced with the moral dilemma of ...
Journal of Medical Internet Research
We included all article types such as theoretical papers, research studies, and reviews dealing with ethical issues or recommendations for the implementation of these RCSs in a general population, particularly among older adults, in the health care sector and published after 2011 in either English or French.
10 Research Question Examples to Guide your Research Project
The first question asks for a ready-made solution, and is not focused or researchable. The second question is a clearer comparative question, but note that it may not be practically feasible. For a smaller research project or thesis, it could be narrowed down further to focus on the effectiveness of drunk driving laws in just one or two countries.
What are Common Problems Faced by Students in School?
List of The Common Problems Faced by Students in School. Student social media users mentioned many interesting problems they faced in school. The majority of this #StudentProblems101 are classroom problems such as difficulty in understanding lessons, humiliation, stress, and boredom. Personal problems, on the other hand, include sleep ...

45 Research Problem Examples & Inspiration

Research Problem Examples

Psychology Problems

Education Problems

Sociology Problems

Nursing Problems

Communication Studies Problems

Before you Go: Tips and Tricks for Writing a Research Problem

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What is a Research Problem? Characteristics, Types, and Examples

What is a Research Problem ?

Characteristics of a Research Problem

Types of Research Problems

How to Define a Research Problem

Key Takeaways

Frequently Asked Questions

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Research Problem – Examples, Types and Guide

Research Problem

Types of Research Problems

Descriptive problems

Exploratory problems

Explanatory Problems

Predictive Problems

Evaluative Problems

How to Define a Research Problem

Components of a Research Problem

Research Problem Examples

Political Science

Environmental Science

Research Problem Example for Students

Applications of Research Problem

Purpose of Research Problems

Characteristics of Research Problem

Advantages of Research Problem

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Step 1: Identifying Problem Area – What is Research Problem

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Theoretical Research Problems

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Step 2: Understanding the Research Problem

Background and Rationale

Particularity and Suitability

Example of a Specific Research Problem

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How to Write a Statement of the Problem in Research

Table of Contents

What is a research problem statement?

When should you write a problem statement in research?

Effective vs. ineffective research problem statements

Effective problem statement

Why is this statement of a problem in research effective?

Ineffective problem statement

Why is this statement of a problem in research ineffective?

How to write a problem statement in research?

Difference between a thesis statement and a problem statement