what are research in study

Educational resources and simple solutions for your research journey

What is Research? Definition, Types, Methods, and Examples

Academic research is a methodical way of exploring new ideas or understanding things we already know. It involves gathering and studying information to answer questions or test ideas and requires careful thinking and persistence to reach meaningful conclusions. Let’s try to understand what research is.   

Table of Contents

Why is research important?    

Whether it’s doing experiments, analyzing data, or studying old documents, research helps us learn more about the world. Without it, we rely on guesswork and hearsay, often leading to mistakes and misconceptions. By using systematic methods, research helps us see things clearly, free from biases. (1)   

What is the purpose of research?  

In the real world, academic research is also a key driver of innovation. It brings many benefits, such as creating valuable opportunities and fostering partnerships between academia and industry. By turning research into products and services, science makes meaningful improvements to people’s lives and boosts the economy. (2)(3)  

What are the characteristics of research?    

The research process collects accurate information systematically. Logic is used to analyze the collected data and find insights. Checking the collected data thoroughly ensures accuracy. Research also leads to new questions using existing data.   

Accuracy is key in research, which requires precise data collection and analysis. In scientific research, laboratories ensure accuracy by carefully calibrating instruments and controlling experiments. Every step is checked to maintain integrity, from instruments to final results. Accuracy gives reliable insights, which in turn help advance knowledge.   

Types of research    

The different forms of research serve distinct purposes in expanding knowledge and understanding:    

• Exploratory research ventures into uncharted territories, exploring new questions or problem areas without aiming for conclusive answers. For instance, a study may delve into unexplored market segments to better understand consumer behaviour patterns.   
• Descriptive research delves into current issues by collecting and analyzing data to describe the behaviour of a sample population. For instance, a survey may investigate millennials’ spending habits to gain insights into their purchasing behaviours.   
• Explanatory research, also known as causal research, seeks to understand the impact of specific changes in existing procedures. An example might be a study examining how changes in drug dosage over some time improve patients’ health.   
• Correlational research examines connections between two sets of data to uncover meaningful relationships. For instance, a study may analyze the relationship between advertising spending and sales revenue.   
• Theoretical research deepens existing knowledge without attempting to solve specific problems. For example, a study may explore theoretical frameworks to understand the underlying principles of human behaviour.   
• Applied research focuses on real-world issues and aims to provide practical solutions. An example could be a study investigating the effectiveness of a new teaching method in improving student performance in schools.  (4)

Types of research methods

• Qualitative Method: Qualitative research gathers non-numerical data through interactions with participants. Methods include one-to-one interviews, focus groups, ethnographic studies, text analysis, and case studies. For example, a researcher interviews cancer patients to understand how different treatments impact their lives emotionally.    
• Quantitative Method: Quantitative methods deal with numbers and measurable data to understand relationships between variables. They use systematic methods to investigate events and aim to explain or predict outcomes. For example, Researchers study how exercise affects heart health by measuring variables like heart rate and blood pressure in a large group before and after an exercise program. (5)  

Basic steps involved in the research process    

Here are the basic steps to help you understand the research process:   

• Choose your topic: Decide the specific subject or area that you want to study and investigate. This decision is the foundation of your research journey.   
• Find information: Look for information related to your research topic. You can search in journals, books, online, or ask experts for help.   
• Assess your sources: Make sure the information you find is reliable and trustworthy. Check the author’s credentials and the publication date.   
• Take notes: Write down important information from your sources that you can use in your research.   
• Write your paper: Use your notes to write your research paper. Broadly, start with an introduction, then write the body of your paper, and finish with a conclusion.   
• Cite your sources: Give credit to the sources you used by including citations in your paper.   
• Proofread: Check your paper thoroughly for any errors in spelling, grammar, or punctuation before you submit it. (6)

How to ensure research accuracy?  

Ensuring accuracy in research is a mix of several essential steps:    

• Clarify goals: Start by defining clear objectives for your research. Identify your research question, hypothesis, and variables of interest. This clarity will help guide your data collection and analysis methods, ensuring that your research stays focused and purposeful.   
• Use reliable data: Select trustworthy sources for your information, whether they are primary data collected by you or secondary data obtained from other sources. For example, if you’re studying climate change, use data from reputable scientific organizations with transparent methodologies.   
• Validate data: Validate your data to ensure it meets the standards of your research project. Check for errors, outliers, and inconsistencies at different stages, such as during data collection, entry, cleaning, or analysis.    
• Document processes: Documenting your data collection and analysis processes is essential for transparency and reproducibility. Record details such as data collection methods, cleaning procedures, and analysis techniques used. This documentation not only helps you keep track of your research but also enables others to understand and replicate your work.   
• Review results: Finally, review and verify your research findings to confirm their accuracy and reliability. Double-check your analyses, cross-reference your data, and seek feedback from peers or supervisors. (7) 

Research is crucial for better understanding our world and for social and economic growth. By following ethical guidelines and ensuring accuracy, researchers play a critical role in driving this progress, whether through exploring new topics or deepening existing knowledge.   

References:  

• Why is Research Important – Introductory Psychology – Washington State University  
• The Role Of Scientific Research In Driving Business Innovation – Forbes  
• Innovation – Royal Society  
• Types of Research – Definition & Methods – Bachelor Print  
• What Is Qualitative vs. Quantitative Study? – National University  
• Basic Steps in the Research Process – North Hennepin Community College  
• Best Practices for Ensuring Data Accuracy in Research – LinkedIn  

Researcher.Life is a subscription-based platform that unifies the best AI tools and services designed to speed up, simplify, and streamline every step of a researcher’s journey. The Researcher.Life All Access Pack is a one-of-a-kind subscription that unlocks full access to an AI writing assistant, literature recommender, journal finder, scientific illustration tool, and exclusive discounts on professional publication services from Editage.  

Based on 21+ years of experience in academia, Researcher.Life All Access empowers researchers to put their best research forward and move closer to success. Explore our top AI Tools pack, AI Tools + Publication Services pack, or Build Your Own Plan. Find everything a researcher needs to succeed, all in one place –  Get All Access now starting at just $17 a month !    

Related Posts

Back to School – Lock-in All Access Pack for a Year at the Best Price

Journal Turnaround Time: Researcher.Life and Scholarly Intelligence Join Hands to Empower Researchers with Publication Time Insights 

• Skip to main content
• Skip to primary sidebar
• Skip to footer
• QuestionPro

• Solutions Industries Gaming Automotive Sports and events Education Government Travel & Hospitality Financial Services Healthcare Cannabis Technology Use Case AskWhy Communities Audience Contactless surveys Mobile LivePolls Member Experience GDPR Positive People Science 360 Feedback Surveys
• Resources Blog eBooks Survey Templates Case Studies Training Help center

Home Market Research

What is Research: Definition, Methods, Types & Examples

The search for knowledge is closely linked to the object of study; that is, to the reconstruction of the facts that will provide an explanation to an observed event and that at first sight can be considered as a problem. It is very human to seek answers and satisfy our curiosity. Let’s talk about research.

Content Index

What is Research?

What are the characteristics of research.

• Comparative analysis chart

Qualitative methods

Quantitative methods, 8 tips for conducting accurate research.

Research is the careful consideration of study regarding a particular concern or research problem using scientific methods. According to the American sociologist Earl Robert Babbie, “research is a systematic inquiry to describe, explain, predict, and control the observed phenomenon. It involves inductive and deductive methods.”

Inductive methods analyze an observed event, while deductive methods verify the observed event. Inductive approaches are associated with qualitative research , and deductive methods are more commonly associated with quantitative analysis .

Research is conducted with a purpose to:

• Identify potential and new customers
• Understand existing customers
• Set pragmatic goals
• Develop productive market strategies
• Address business challenges
• Put together a business expansion plan
• Identify new business opportunities
• Good research follows a systematic approach to capture accurate data. Researchers need to practice ethics and a code of conduct while making observations or drawing conclusions.
• The analysis is based on logical reasoning and involves both inductive and deductive methods.
• Real-time data and knowledge is derived from actual observations in natural settings.
• There is an in-depth analysis of all data collected so that there are no anomalies associated with it.
• It creates a path for generating new questions. Existing data helps create more research opportunities.
• It is analytical and uses all the available data so that there is no ambiguity in inference.
• Accuracy is one of the most critical aspects of research. The information must be accurate and correct. For example, laboratories provide a controlled environment to collect data. Accuracy is measured in the instruments used, the calibrations of instruments or tools, and the experiment’s final result.

What is the purpose of research?

There are three main purposes:

• Exploratory: As the name suggests, researchers conduct exploratory studies to explore a group of questions. The answers and analytics may not offer a conclusion to the perceived problem. It is undertaken to handle new problem areas that haven’t been explored before. This exploratory data analysis process lays the foundation for more conclusive data collection and analysis.

LEARN ABOUT: Descriptive Analysis

• Descriptive: It focuses on expanding knowledge on current issues through a process of data collection. Descriptive research describe the behavior of a sample population. Only one variable is required to conduct the study. The three primary purposes of descriptive studies are describing, explaining, and validating the findings. For example, a study conducted to know if top-level management leaders in the 21st century possess the moral right to receive a considerable sum of money from the company profit.

LEARN ABOUT: Best Data Collection Tools

• Explanatory: Causal research or explanatory research is conducted to understand the impact of specific changes in existing standard procedures. Running experiments is the most popular form. For example, a study that is conducted to understand the effect of rebranding on customer loyalty.

Here is a comparative analysis chart for a better understanding:

It begins by asking the right questions and choosing an appropriate method to investigate the problem. After collecting answers to your questions, you can analyze the findings or observations to draw reasonable conclusions.

When it comes to customers and market studies, the more thorough your questions, the better the analysis. You get essential insights into brand perception and product needs by thoroughly collecting customer data through surveys and questionnaires . You can use this data to make smart decisions about your marketing strategies to position your business effectively.

To make sense of your study and get insights faster, it helps to use a research repository as a single source of truth in your organization and manage your research data in one centralized data repository .

Types of research methods and Examples

Research methods are broadly classified as Qualitative and Quantitative .

Both methods have distinctive properties and data collection methods .

Qualitative research is a method that collects data using conversational methods, usually open-ended questions . The responses collected are essentially non-numerical. This method helps a researcher understand what participants think and why they think in a particular way.

Types of qualitative methods include:

• One-to-one Interview
• Focus Groups
• Ethnographic studies
• Text Analysis

Quantitative methods deal with numbers and measurable forms . It uses a systematic way of investigating events or data. It answers questions to justify relationships with measurable variables to either explain, predict, or control a phenomenon.

Types of quantitative methods include:

• Survey research
• Descriptive research
• Correlational research

LEARN MORE: Descriptive Research vs Correlational Research

Remember, it is only valuable and useful when it is valid, accurate, and reliable. Incorrect results can lead to customer churn and a decrease in sales.

It is essential to ensure that your data is:

• Valid – founded, logical, rigorous, and impartial.
• Accurate – free of errors and including required details.
• Reliable – other people who investigate in the same way can produce similar results.
• Timely – current and collected within an appropriate time frame.
• Complete – includes all the data you need to support your business decisions.

Gather insights

• Identify the main trends and issues, opportunities, and problems you observe. Write a sentence describing each one.
• Keep track of the frequency with which each of the main findings appears.
• Make a list of your findings from the most common to the least common.
• Evaluate a list of the strengths, weaknesses, opportunities, and threats identified in a SWOT analysis .
• Prepare conclusions and recommendations about your study.
• Act on your strategies
• Look for gaps in the information, and consider doing additional inquiry if necessary
• Plan to review the results and consider efficient methods to analyze and interpret results.

Review your goals before making any conclusions about your study. Remember how the process you have completed and the data you have gathered help answer your questions. Ask yourself if what your analysis revealed facilitates the identification of your conclusions and recommendations.

LEARN MORE ABOUT OUR SOFTWARE         FREE TRIAL

MORE LIKE THIS

Interactive Forms: Key Features, Benefits, Uses + Design Tips

Sep 4, 2024

Closed-Loop Management: The Key to Customer Centricity

Sep 3, 2024

Net Trust Score: Tool for Measuring Trust in Organization

Sep 2, 2024

Why You Should Attend XDAY 2024

Aug 30, 2024

Other categories

• Academic Research
• Artificial Intelligence
• Assessments
• Brand Awareness
• Case Studies
• Communities
• Consumer Insights
• Customer effort score
• Customer Engagement
• Customer Experience
• Customer Loyalty
• Customer Research
• Customer Satisfaction
• Employee Benefits
• Employee Engagement
• Employee Retention
• Friday Five
• General Data Protection Regulation
• Insights Hub
• Life@QuestionPro
• Market Research
• Mobile diaries
• Mobile Surveys
• New Features
• Online Communities
• Question Types
• Questionnaire
• QuestionPro Products
• Release Notes
• Research Tools and Apps
• Revenue at Risk
• Survey Templates
• Training Tips
• Tuesday CX Thoughts (TCXT)
• Uncategorized
• What’s Coming Up
• Workforce Intelligence

• U.S. Department of Health & Human Services

• Virtual Tour
• Staff Directory
• En Español

You are here

Science, health, and public trust.

September 8, 2021

Explaining How Research Works

We’ve heard “follow the science” a lot during the pandemic. But it seems science has taken us on a long and winding road filled with twists and turns, even changing directions at times. That’s led some people to feel they can’t trust science. But when what we know changes, it often means science is working.

Explaining the scientific process may be one way that science communicators can help maintain public trust in science. Placing research in the bigger context of its field and where it fits into the scientific process can help people better understand and interpret new findings as they emerge. A single study usually uncovers only a piece of a larger puzzle.

Questions about how the world works are often investigated on many different levels. For example, scientists can look at the different atoms in a molecule, cells in a tissue, or how different tissues or systems affect each other. Researchers often must choose one or a finite number of ways to investigate a question. It can take many different studies using different approaches to start piecing the whole picture together.

Sometimes it might seem like research results contradict each other. But often, studies are just looking at different aspects of the same problem. Researchers can also investigate a question using different techniques or timeframes. That may lead them to arrive at different conclusions from the same data.

Using the data available at the time of their study, scientists develop different explanations, or models. New information may mean that a novel model needs to be developed to account for it. The models that prevail are those that can withstand the test of time and incorporate new information. Science is a constantly evolving and self-correcting process.

Scientists gain more confidence about a model through the scientific process. They replicate each other’s work. They present at conferences. And papers undergo peer review, in which experts in the field review the work before it can be published in scientific journals. This helps ensure that the study is up to current scientific standards and maintains a level of integrity. Peer reviewers may find problems with the experiments or think different experiments are needed to justify the conclusions. They might even offer new ways to interpret the data.

It’s important for science communicators to consider which stage a study is at in the scientific process when deciding whether to cover it. Some studies are posted on preprint servers for other scientists to start weighing in on and haven’t yet been fully vetted. Results that haven't yet been subjected to scientific scrutiny should be reported on with care and context to avoid confusion or frustration from readers.

We’ve developed a one-page guide, "How Research Works: Understanding the Process of Science" to help communicators put the process of science into perspective. We hope it can serve as a useful resource to help explain why science changes—and why it’s important to expect that change. Please take a look and share your thoughts with us by sending an email to  [email protected].

Below are some additional resources:

• Discoveries in Basic Science: A Perfectly Imperfect Process
• When Clinical Research Is in the News
• What is Basic Science and Why is it Important?
• ​ What is a Research Organism?
• What Are Clinical Trials and Studies?
• Basic Research – Digital Media Kit
• Decoding Science: How Does Science Know What It Knows? (NAS)
• Can Science Help People Make Decisions ? (NAS)

Connect with Us

• More Social Media from NIH

Service update: Some parts of the Library’s website will be down for maintenance on August 11.

Secondary menu

• Log in to your Library account
• Hours and Maps
• Connect from Off Campus
• UC Berkeley Home

Search form

Research methods--quantitative, qualitative, and more: overview.

• Quantitative Research
• Qualitative Research
• Data Science Methods (Machine Learning, AI, Big Data)
• Text Mining and Computational Text Analysis
• Evidence Synthesis/Systematic Reviews
• Get Data, Get Help!

About Research Methods

This guide provides an overview of research methods, how to choose and use them, and supports and resources at UC Berkeley. 

As Patten and Newhart note in the book Understanding Research Methods , "Research methods are the building blocks of the scientific enterprise. They are the "how" for building systematic knowledge. The accumulation of knowledge through research is by its nature a collective endeavor. Each well-designed study provides evidence that may support, amend, refute, or deepen the understanding of existing knowledge...Decisions are important throughout the practice of research and are designed to help researchers collect evidence that includes the full spectrum of the phenomenon under study, to maintain logical rules, and to mitigate or account for possible sources of bias. In many ways, learning research methods is learning how to see and make these decisions."

The choice of methods varies by discipline, by the kind of phenomenon being studied and the data being used to study it, by the technology available, and more.  This guide is an introduction, but if you don't see what you need here, always contact your subject librarian, and/or take a look to see if there's a library research guide that will answer your question. 

Suggestions for changes and additions to this guide are welcome! 

START HERE: SAGE Research Methods

Without question, the most comprehensive resource available from the library is SAGE Research Methods.  HERE IS THE ONLINE GUIDE  to this one-stop shopping collection, and some helpful links are below:

• SAGE Research Methods
• Little Green Books  (Quantitative Methods)
• Little Blue Books  (Qualitative Methods)
• Dictionaries and Encyclopedias  
• Case studies of real research projects
• Sample datasets for hands-on practice
• Streaming video--see methods come to life
• Methodspace- -a community for researchers
• SAGE Research Methods Course Mapping

Library Data Services at UC Berkeley

Library Data Services Program and Digital Scholarship Services

The LDSP offers a variety of services and tools !  From this link, check out pages for each of the following topics:  discovering data, managing data, collecting data, GIS data, text data mining, publishing data, digital scholarship, open science, and the Research Data Management Program.

Be sure also to check out the visual guide to where to seek assistance on campus with any research question you may have!

Library GIS Services

Other Data Services at Berkeley

D-Lab Supports Berkeley faculty, staff, and graduate students with research in data intensive social science, including a wide range of training and workshop offerings Dryad Dryad is a simple self-service tool for researchers to use in publishing their datasets. It provides tools for the effective publication of and access to research data. Geospatial Innovation Facility (GIF) Provides leadership and training across a broad array of integrated mapping technologies on campu Research Data Management A UC Berkeley guide and consulting service for research data management issues

General Research Methods Resources

Here are some general resources for assistance:

• Assistance from ICPSR (must create an account to access): Getting Help with Data , and Resources for Students
• Wiley Stats Ref for background information on statistics topics
• Survey Documentation and Analysis (SDA) .  Program for easy web-based analysis of survey data.

Consultants

• D-Lab/Data Science Discovery Consultants Request help with your research project from peer consultants.
• Research data (RDM) consulting Meet with RDM consultants before designing the data security, storage, and sharing aspects of your qualitative project.
• Statistics Department Consulting Services A service in which advanced graduate students, under faculty supervision, are available to consult during specified hours in the Fall and Spring semesters.

Related Resourcex

• IRB / CPHS Qualitative research projects with human subjects often require that you go through an ethics review.
• OURS (Office of Undergraduate Research and Scholarships) OURS supports undergraduates who want to embark on research projects and assistantships. In particular, check out their "Getting Started in Research" workshops
• Sponsored Projects Sponsored projects works with researchers applying for major external grants.
• Next: Quantitative Research >>
• Last Updated: Aug 6, 2024 3:06 PM
• URL: https://guides.lib.berkeley.edu/researchmethods

Have a language expert improve your writing

Run a free plagiarism check in 10 minutes, automatically generate references for free.

• Knowledge Base
• Methodology

Research Design | Step-by-Step Guide with Examples

Published on 5 May 2022 by Shona McCombes . Revised on 20 March 2023.

A research design is a strategy for answering your research question  using empirical data. Creating a research design means making decisions about:

• Your overall aims and approach
• The type of research design you’ll use
• Your sampling methods or criteria for selecting subjects
• Your data collection methods
• The procedures you’ll follow to collect data
• Your data analysis methods

A well-planned research design helps ensure that your methods match your research aims and that you use the right kind of analysis for your data.

Table of contents

Step 1: consider your aims and approach, step 2: choose a type of research design, step 3: identify your population and sampling method, step 4: choose your data collection methods, step 5: plan your data collection procedures, step 6: decide on your data analysis strategies, frequently asked questions.

• Introduction

Before you can start designing your research, you should already have a clear idea of the research question you want to investigate.

There are many different ways you could go about answering this question. Your research design choices should be driven by your aims and priorities – start by thinking carefully about what you want to achieve.

The first choice you need to make is whether you’ll take a qualitative or quantitative approach.

Qualitative research designs tend to be more flexible and inductive , allowing you to adjust your approach based on what you find throughout the research process.

Quantitative research designs tend to be more fixed and deductive , with variables and hypotheses clearly defined in advance of data collection.

It’s also possible to use a mixed methods design that integrates aspects of both approaches. By combining qualitative and quantitative insights, you can gain a more complete picture of the problem you’re studying and strengthen the credibility of your conclusions.

Practical and ethical considerations when designing research

As well as scientific considerations, you need to think practically when designing your research. If your research involves people or animals, you also need to consider research ethics .

• How much time do you have to collect data and write up the research?
• Will you be able to gain access to the data you need (e.g., by travelling to a specific location or contacting specific people)?
• Do you have the necessary research skills (e.g., statistical analysis or interview techniques)?
• Will you need ethical approval ?

At each stage of the research design process, make sure that your choices are practically feasible.

Prevent plagiarism, run a free check.

Within both qualitative and quantitative approaches, there are several types of research design to choose from. Each type provides a framework for the overall shape of your research.

Types of quantitative research designs

Quantitative designs can be split into four main types. Experimental and   quasi-experimental designs allow you to test cause-and-effect relationships, while descriptive and correlational designs allow you to measure variables and describe relationships between them.

With descriptive and correlational designs, you can get a clear picture of characteristics, trends, and relationships as they exist in the real world. However, you can’t draw conclusions about cause and effect (because correlation doesn’t imply causation ).

Experiments are the strongest way to test cause-and-effect relationships without the risk of other variables influencing the results. However, their controlled conditions may not always reflect how things work in the real world. They’re often also more difficult and expensive to implement.

Types of qualitative research designs

Qualitative designs are less strictly defined. This approach is about gaining a rich, detailed understanding of a specific context or phenomenon, and you can often be more creative and flexible in designing your research.

The table below shows some common types of qualitative design. They often have similar approaches in terms of data collection, but focus on different aspects when analysing the data.

Your research design should clearly define who or what your research will focus on, and how you’ll go about choosing your participants or subjects.

In research, a population is the entire group that you want to draw conclusions about, while a sample is the smaller group of individuals you’ll actually collect data from.

Defining the population

A population can be made up of anything you want to study – plants, animals, organisations, texts, countries, etc. In the social sciences, it most often refers to a group of people.

For example, will you focus on people from a specific demographic, region, or background? Are you interested in people with a certain job or medical condition, or users of a particular product?

The more precisely you define your population, the easier it will be to gather a representative sample.

Sampling methods

Even with a narrowly defined population, it’s rarely possible to collect data from every individual. Instead, you’ll collect data from a sample.

To select a sample, there are two main approaches: probability sampling and non-probability sampling . The sampling method you use affects how confidently you can generalise your results to the population as a whole.

Probability sampling is the most statistically valid option, but it’s often difficult to achieve unless you’re dealing with a very small and accessible population.

For practical reasons, many studies use non-probability sampling, but it’s important to be aware of the limitations and carefully consider potential biases. You should always make an effort to gather a sample that’s as representative as possible of the population.

Case selection in qualitative research

In some types of qualitative designs, sampling may not be relevant.

For example, in an ethnography or a case study, your aim is to deeply understand a specific context, not to generalise to a population. Instead of sampling, you may simply aim to collect as much data as possible about the context you are studying.

In these types of design, you still have to carefully consider your choice of case or community. You should have a clear rationale for why this particular case is suitable for answering your research question.

For example, you might choose a case study that reveals an unusual or neglected aspect of your research problem, or you might choose several very similar or very different cases in order to compare them.

Data collection methods are ways of directly measuring variables and gathering information. They allow you to gain first-hand knowledge and original insights into your research problem.

You can choose just one data collection method, or use several methods in the same study.

Survey methods

Surveys allow you to collect data about opinions, behaviours, experiences, and characteristics by asking people directly. There are two main survey methods to choose from: questionnaires and interviews.

Observation methods

Observations allow you to collect data unobtrusively, observing characteristics, behaviours, or social interactions without relying on self-reporting.

Observations may be conducted in real time, taking notes as you observe, or you might make audiovisual recordings for later analysis. They can be qualitative or quantitative.

Other methods of data collection

There are many other ways you might collect data depending on your field and topic.

If you’re not sure which methods will work best for your research design, try reading some papers in your field to see what data collection methods they used.

Secondary data

If you don’t have the time or resources to collect data from the population you’re interested in, you can also choose to use secondary data that other researchers already collected – for example, datasets from government surveys or previous studies on your topic.

With this raw data, you can do your own analysis to answer new research questions that weren’t addressed by the original study.

Using secondary data can expand the scope of your research, as you may be able to access much larger and more varied samples than you could collect yourself.

However, it also means you don’t have any control over which variables to measure or how to measure them, so the conclusions you can draw may be limited.

As well as deciding on your methods, you need to plan exactly how you’ll use these methods to collect data that’s consistent, accurate, and unbiased.

Planning systematic procedures is especially important in quantitative research, where you need to precisely define your variables and ensure your measurements are reliable and valid.

Operationalisation

Some variables, like height or age, are easily measured. But often you’ll be dealing with more abstract concepts, like satisfaction, anxiety, or competence. Operationalisation means turning these fuzzy ideas into measurable indicators.

If you’re using observations , which events or actions will you count?

If you’re using surveys , which questions will you ask and what range of responses will be offered?

You may also choose to use or adapt existing materials designed to measure the concept you’re interested in – for example, questionnaires or inventories whose reliability and validity has already been established.

Reliability and validity

Reliability means your results can be consistently reproduced , while validity means that you’re actually measuring the concept you’re interested in.

For valid and reliable results, your measurement materials should be thoroughly researched and carefully designed. Plan your procedures to make sure you carry out the same steps in the same way for each participant.

If you’re developing a new questionnaire or other instrument to measure a specific concept, running a pilot study allows you to check its validity and reliability in advance.

Sampling procedures

As well as choosing an appropriate sampling method, you need a concrete plan for how you’ll actually contact and recruit your selected sample.

That means making decisions about things like:

• How many participants do you need for an adequate sample size?
• What inclusion and exclusion criteria will you use to identify eligible participants?
• How will you contact your sample – by mail, online, by phone, or in person?

If you’re using a probability sampling method, it’s important that everyone who is randomly selected actually participates in the study. How will you ensure a high response rate?

If you’re using a non-probability method, how will you avoid bias and ensure a representative sample?

Data management

It’s also important to create a data management plan for organising and storing your data.

Will you need to transcribe interviews or perform data entry for observations? You should anonymise and safeguard any sensitive data, and make sure it’s backed up regularly.

Keeping your data well organised will save time when it comes to analysing them. It can also help other researchers validate and add to your findings.

On their own, raw data can’t answer your research question. The last step of designing your research is planning how you’ll analyse the data.

Quantitative data analysis

In quantitative research, you’ll most likely use some form of statistical analysis . With statistics, you can summarise your sample data, make estimates, and test hypotheses.

Using descriptive statistics , you can summarise your sample data in terms of:

• The distribution of the data (e.g., the frequency of each score on a test)
• The central tendency of the data (e.g., the mean to describe the average score)
• The variability of the data (e.g., the standard deviation to describe how spread out the scores are)

The specific calculations you can do depend on the level of measurement of your variables.

Using inferential statistics , you can:

• Make estimates about the population based on your sample data.
• Test hypotheses about a relationship between variables.

Regression and correlation tests look for associations between two or more variables, while comparison tests (such as t tests and ANOVAs ) look for differences in the outcomes of different groups.

Your choice of statistical test depends on various aspects of your research design, including the types of variables you’re dealing with and the distribution of your data.

Qualitative data analysis

In qualitative research, your data will usually be very dense with information and ideas. Instead of summing it up in numbers, you’ll need to comb through the data in detail, interpret its meanings, identify patterns, and extract the parts that are most relevant to your research question.

Two of the most common approaches to doing this are thematic analysis and discourse analysis .

There are many other ways of analysing qualitative data depending on the aims of your research. To get a sense of potential approaches, try reading some qualitative research papers in your field.

A sample is a subset of individuals from a larger population. Sampling means selecting the group that you will actually collect data from in your research.

For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.

Statistical sampling allows you to test a hypothesis about the characteristics of a population. There are various sampling methods you can use to ensure that your sample is representative of the population as a whole.

Operationalisation means turning abstract conceptual ideas into measurable observations.

For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioural avoidance of crowded places, or physical anxiety symptoms in social situations.

Before collecting data , it’s important to consider how you will operationalise the variables that you want to measure.

The research methods you use depend on the type of data you need to answer your research question .

• If you want to measure something or test a hypothesis , use quantitative methods . If you want to explore ideas, thoughts, and meanings, use qualitative methods .
• If you want to analyse a large amount of readily available data, use secondary data. If you want data specific to your purposes with control over how they are generated, collect primary data.
• If you want to establish cause-and-effect relationships between variables , use experimental methods. If you want to understand the characteristics of a research subject, use descriptive methods.

Cite this Scribbr article

If you want to cite this source, you can copy and paste the citation or click the ‘Cite this Scribbr article’ button to automatically add the citation to our free Reference Generator.

McCombes, S. (2023, March 20). Research Design | Step-by-Step Guide with Examples. Scribbr. Retrieved 3 September 2024, from https://www.scribbr.co.uk/research-methods/research-design/

Is this article helpful?

Shona McCombes

Community Blog

Keep up-to-date on postgraduate related issues with our quick reads written by students, postdocs, professors and industry leaders.

Types of Research – Explained with Examples

• By DiscoverPhDs
• October 2, 2020

Types of Research

Research is about using established methods to investigate a problem or question in detail with the aim of generating new knowledge about it.

It is a vital tool for scientific advancement because it allows researchers to prove or refute hypotheses based on clearly defined parameters, environments and assumptions. Due to this, it enables us to confidently contribute to knowledge as it allows research to be verified and replicated.

Knowing the types of research and what each of them focuses on will allow you to better plan your project, utilises the most appropriate methodologies and techniques and better communicate your findings to other researchers and supervisors.

Classification of Types of Research

There are various types of research that are classified according to their objective, depth of study, analysed data, time required to study the phenomenon and other factors. It’s important to note that a research project will not be limited to one type of research, but will likely use several.

According to its Purpose

Theoretical research.

Theoretical research, also referred to as pure or basic research, focuses on generating knowledge , regardless of its practical application. Here, data collection is used to generate new general concepts for a better understanding of a particular field or to answer a theoretical research question.

Results of this kind are usually oriented towards the formulation of theories and are usually based on documentary analysis, the development of mathematical formulas and the reflection of high-level researchers.

Applied Research

Here, the goal is to find strategies that can be used to address a specific research problem. Applied research draws on theory to generate practical scientific knowledge, and its use is very common in STEM fields such as engineering, computer science and medicine.

This type of research is subdivided into two types:

• Technological applied research : looks towards improving efficiency in a particular productive sector through the improvement of processes or machinery related to said productive processes.
• Scientific applied research : has predictive purposes. Through this type of research design, we can measure certain variables to predict behaviours useful to the goods and services sector, such as consumption patterns and viability of commercial projects.

According to your Depth of Scope

Exploratory research.

Exploratory research is used for the preliminary investigation of a subject that is not yet well understood or sufficiently researched. It serves to establish a frame of reference and a hypothesis from which an in-depth study can be developed that will enable conclusive results to be generated.

Because exploratory research is based on the study of little-studied phenomena, it relies less on theory and more on the collection of data to identify patterns that explain these phenomena.

Descriptive Research

The primary objective of descriptive research is to define the characteristics of a particular phenomenon without necessarily investigating the causes that produce it.

In this type of research, the researcher must take particular care not to intervene in the observed object or phenomenon, as its behaviour may change if an external factor is involved.

Explanatory Research

Explanatory research is the most common type of research method and is responsible for establishing cause-and-effect relationships that allow generalisations to be extended to similar realities. It is closely related to descriptive research, although it provides additional information about the observed object and its interactions with the environment.

Correlational Research

The purpose of this type of scientific research is to identify the relationship between two or more variables. A correlational study aims to determine whether a variable changes, how much the other elements of the observed system change.

According to the Type of Data Used

Qualitative research.

Qualitative methods are often used in the social sciences to collect, compare and interpret information, has a linguistic-semiotic basis and is used in techniques such as discourse analysis, interviews, surveys, records and participant observations.

In order to use statistical methods to validate their results, the observations collected must be evaluated numerically. Qualitative research, however, tends to be subjective, since not all data can be fully controlled. Therefore, this type of research design is better suited to extracting meaning from an event or phenomenon (the ‘why’) than its cause (the ‘how’).

Quantitative Research

Quantitative research study delves into a phenomena through quantitative data collection and using mathematical, statistical and computer-aided tools to measure them . This allows generalised conclusions to be projected over time.

According to the Degree of Manipulation of Variables

Experimental research.

It is about designing or replicating a phenomenon whose variables are manipulated under strictly controlled conditions in order to identify or discover its effect on another independent variable or object. The phenomenon to be studied is measured through study and control groups, and according to the guidelines of the scientific method.

Non-Experimental Research

Also known as an observational study, it focuses on the analysis of a phenomenon in its natural context. As such, the researcher does not intervene directly, but limits their involvement to measuring the variables required for the study. Due to its observational nature, it is often used in descriptive research.

Quasi-Experimental Research

It controls only some variables of the phenomenon under investigation and is therefore not entirely experimental. In this case, the study and the focus group cannot be randomly selected, but are chosen from existing groups or populations . This is to ensure the collected data is relevant and that the knowledge, perspectives and opinions of the population can be incorporated into the study.

According to the Type of Inference

Deductive investigation.

In this type of research, reality is explained by general laws that point to certain conclusions; conclusions are expected to be part of the premise of the research problem and considered correct if the premise is valid and the inductive method is applied correctly.

Inductive Research

In this type of research, knowledge is generated from an observation to achieve a generalisation. It is based on the collection of specific data to develop new theories.

Hypothetical-Deductive Investigation

It is based on observing reality to make a hypothesis, then use deduction to obtain a conclusion and finally verify or reject it through experience.

According to the Time in Which it is Carried Out

Longitudinal study (also referred to as diachronic research).

It is the monitoring of the same event, individual or group over a defined period of time. It aims to track changes in a number of variables and see how they evolve over time. It is often used in medical, psychological and social areas .

Cross-Sectional Study (also referred to as Synchronous Research)

Cross-sectional research design is used to observe phenomena, an individual or a group of research subjects at a given time.

According to The Sources of Information

Primary research.

This fundamental research type is defined by the fact that the data is collected directly from the source, that is, it consists of primary, first-hand information.

Secondary research

Unlike primary research, secondary research is developed with information from secondary sources, which are generally based on scientific literature and other documents compiled by another researcher.

According to How the Data is Obtained

Documentary (cabinet).

Documentary research, or secondary sources, is based on a systematic review of existing sources of information on a particular subject. This type of scientific research is commonly used when undertaking literature reviews or producing a case study.

Field research study involves the direct collection of information at the location where the observed phenomenon occurs.

From Laboratory

Laboratory research is carried out in a controlled environment in order to isolate a dependent variable and establish its relationship with other variables through scientific methods.

Mixed-Method: Documentary, Field and/or Laboratory

Mixed research methodologies combine results from both secondary (documentary) sources and primary sources through field or laboratory research.

The answer is simple: there is no age limit for doing a PhD; in fact, the oldest known person to have gained a PhD in the UK was 95 years old.

The purpose of research is to enhance society by advancing knowledge through developing scientific theories, concepts and ideas – find out more on what this involves.

In Finland, all new PhD holders are given a traditional Doctoral Hat and Doctoral Sword during a Conferment Ceremony, symbolising the freedom of research.

Join thousands of other students and stay up to date with the latest PhD programmes, funding opportunities and advice.

Browse PhDs Now

Find out the different dissertation and thesis binding options, which is best, advantages and disadvantages, typical costs, popular services and more.

You’ll come across many academics with PhD, some using the title of Doctor and others using Professor. This blog post helps you understand the differences.

Dr Hothi gained his PhD in Orthopaedic Engineering from Queen Mary University of London in 2012. He is now the Implant Science Fellow at the Royal National Orthopaedic Hospital, researching how to improve knee, hip and spine implants.

Freija is half way through her PhD at the Energy and Environment Institute, University of Hull, researching the transport of microplastics through the Mekong River and to the South China Sea.

Join Thousands of Students

• Privacy Policy

Home » Research Design – Types, Methods and Examples

Research Design – Types, Methods and Examples

Table of Contents

Research Design

Definition:

Research design refers to the overall strategy or plan for conducting a research study. It outlines the methods and procedures that will be used to collect and analyze data, as well as the goals and objectives of the study. Research design is important because it guides the entire research process and ensures that the study is conducted in a systematic and rigorous manner.

Types of Research Design

Types of Research Design are as follows:

Descriptive Research Design

This type of research design is used to describe a phenomenon or situation. It involves collecting data through surveys, questionnaires, interviews, and observations. The aim of descriptive research is to provide an accurate and detailed portrayal of a particular group, event, or situation. It can be useful in identifying patterns, trends, and relationships in the data.

Correlational Research Design

Correlational research design is used to determine if there is a relationship between two or more variables. This type of research design involves collecting data from participants and analyzing the relationship between the variables using statistical methods. The aim of correlational research is to identify the strength and direction of the relationship between the variables.

Experimental Research Design

Experimental research design is used to investigate cause-and-effect relationships between variables. This type of research design involves manipulating one variable and measuring the effect on another variable. It usually involves randomly assigning participants to groups and manipulating an independent variable to determine its effect on a dependent variable. The aim of experimental research is to establish causality.

Quasi-experimental Research Design

Quasi-experimental research design is similar to experimental research design, but it lacks one or more of the features of a true experiment. For example, there may not be random assignment to groups or a control group. This type of research design is used when it is not feasible or ethical to conduct a true experiment.

Case Study Research Design

Case study research design is used to investigate a single case or a small number of cases in depth. It involves collecting data through various methods, such as interviews, observations, and document analysis. The aim of case study research is to provide an in-depth understanding of a particular case or situation.

Longitudinal Research Design

Longitudinal research design is used to study changes in a particular phenomenon over time. It involves collecting data at multiple time points and analyzing the changes that occur. The aim of longitudinal research is to provide insights into the development, growth, or decline of a particular phenomenon over time.

Structure of Research Design

The format of a research design typically includes the following sections:

• Introduction : This section provides an overview of the research problem, the research questions, and the importance of the study. It also includes a brief literature review that summarizes previous research on the topic and identifies gaps in the existing knowledge.
• Research Questions or Hypotheses: This section identifies the specific research questions or hypotheses that the study will address. These questions should be clear, specific, and testable.
• Research Methods : This section describes the methods that will be used to collect and analyze data. It includes details about the study design, the sampling strategy, the data collection instruments, and the data analysis techniques.
• Data Collection: This section describes how the data will be collected, including the sample size, data collection procedures, and any ethical considerations.
• Data Analysis: This section describes how the data will be analyzed, including the statistical techniques that will be used to test the research questions or hypotheses.
• Results : This section presents the findings of the study, including descriptive statistics and statistical tests.
• Discussion and Conclusion : This section summarizes the key findings of the study, interprets the results, and discusses the implications of the findings. It also includes recommendations for future research.
• References : This section lists the sources cited in the research design.

Example of Research Design

An Example of Research Design could be:

Research question: Does the use of social media affect the academic performance of high school students?

Research design:

• Research approach : The research approach will be quantitative as it involves collecting numerical data to test the hypothesis.
• Research design : The research design will be a quasi-experimental design, with a pretest-posttest control group design.
• Sample : The sample will be 200 high school students from two schools, with 100 students in the experimental group and 100 students in the control group.
• Data collection : The data will be collected through surveys administered to the students at the beginning and end of the academic year. The surveys will include questions about their social media usage and academic performance.
• Data analysis : The data collected will be analyzed using statistical software. The mean scores of the experimental and control groups will be compared to determine whether there is a significant difference in academic performance between the two groups.
• Limitations : The limitations of the study will be acknowledged, including the fact that social media usage can vary greatly among individuals, and the study only focuses on two schools, which may not be representative of the entire population.
• Ethical considerations: Ethical considerations will be taken into account, such as obtaining informed consent from the participants and ensuring their anonymity and confidentiality.

How to Write Research Design

Writing a research design involves planning and outlining the methodology and approach that will be used to answer a research question or hypothesis. Here are some steps to help you write a research design:

• Define the research question or hypothesis : Before beginning your research design, you should clearly define your research question or hypothesis. This will guide your research design and help you select appropriate methods.
• Select a research design: There are many different research designs to choose from, including experimental, survey, case study, and qualitative designs. Choose a design that best fits your research question and objectives.
• Develop a sampling plan : If your research involves collecting data from a sample, you will need to develop a sampling plan. This should outline how you will select participants and how many participants you will include.
• Define variables: Clearly define the variables you will be measuring or manipulating in your study. This will help ensure that your results are meaningful and relevant to your research question.
• Choose data collection methods : Decide on the data collection methods you will use to gather information. This may include surveys, interviews, observations, experiments, or secondary data sources.
• Create a data analysis plan: Develop a plan for analyzing your data, including the statistical or qualitative techniques you will use.
• Consider ethical concerns : Finally, be sure to consider any ethical concerns related to your research, such as participant confidentiality or potential harm.

When to Write Research Design

Research design should be written before conducting any research study. It is an important planning phase that outlines the research methodology, data collection methods, and data analysis techniques that will be used to investigate a research question or problem. The research design helps to ensure that the research is conducted in a systematic and logical manner, and that the data collected is relevant and reliable.

Ideally, the research design should be developed as early as possible in the research process, before any data is collected. This allows the researcher to carefully consider the research question, identify the most appropriate research methodology, and plan the data collection and analysis procedures in advance. By doing so, the research can be conducted in a more efficient and effective manner, and the results are more likely to be valid and reliable.

Purpose of Research Design

The purpose of research design is to plan and structure a research study in a way that enables the researcher to achieve the desired research goals with accuracy, validity, and reliability. Research design is the blueprint or the framework for conducting a study that outlines the methods, procedures, techniques, and tools for data collection and analysis.

Some of the key purposes of research design include:

• Providing a clear and concise plan of action for the research study.
• Ensuring that the research is conducted ethically and with rigor.
• Maximizing the accuracy and reliability of the research findings.
• Minimizing the possibility of errors, biases, or confounding variables.
• Ensuring that the research is feasible, practical, and cost-effective.
• Determining the appropriate research methodology to answer the research question(s).
• Identifying the sample size, sampling method, and data collection techniques.
• Determining the data analysis method and statistical tests to be used.
• Facilitating the replication of the study by other researchers.
• Enhancing the validity and generalizability of the research findings.

Applications of Research Design

There are numerous applications of research design in various fields, some of which are:

• Social sciences: In fields such as psychology, sociology, and anthropology, research design is used to investigate human behavior and social phenomena. Researchers use various research designs, such as experimental, quasi-experimental, and correlational designs, to study different aspects of social behavior.
• Education : Research design is essential in the field of education to investigate the effectiveness of different teaching methods and learning strategies. Researchers use various designs such as experimental, quasi-experimental, and case study designs to understand how students learn and how to improve teaching practices.
• Health sciences : In the health sciences, research design is used to investigate the causes, prevention, and treatment of diseases. Researchers use various designs, such as randomized controlled trials, cohort studies, and case-control studies, to study different aspects of health and healthcare.
• Business : Research design is used in the field of business to investigate consumer behavior, marketing strategies, and the impact of different business practices. Researchers use various designs, such as survey research, experimental research, and case studies, to study different aspects of the business world.
• Engineering : In the field of engineering, research design is used to investigate the development and implementation of new technologies. Researchers use various designs, such as experimental research and case studies, to study the effectiveness of new technologies and to identify areas for improvement.

Advantages of Research Design

Here are some advantages of research design:

• Systematic and organized approach : A well-designed research plan ensures that the research is conducted in a systematic and organized manner, which makes it easier to manage and analyze the data.
• Clear objectives: The research design helps to clarify the objectives of the study, which makes it easier to identify the variables that need to be measured, and the methods that need to be used to collect and analyze data.
• Minimizes bias: A well-designed research plan minimizes the chances of bias, by ensuring that the data is collected and analyzed objectively, and that the results are not influenced by the researcher’s personal biases or preferences.
• Efficient use of resources: A well-designed research plan helps to ensure that the resources (time, money, and personnel) are used efficiently and effectively, by focusing on the most important variables and methods.
• Replicability: A well-designed research plan makes it easier for other researchers to replicate the study, which enhances the credibility and reliability of the findings.
• Validity: A well-designed research plan helps to ensure that the findings are valid, by ensuring that the methods used to collect and analyze data are appropriate for the research question.
• Generalizability : A well-designed research plan helps to ensure that the findings can be generalized to other populations, settings, or situations, which increases the external validity of the study.

Research Design Vs Research Methodology

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

You may also like

APA Research Paper Format – Example, Sample and...

Research Approach – Types Methods and Examples

Background of The Study – Examples and Writing...

Research Paper Title Page – Example and Making...

Limitations in Research – Types, Examples and...

Research Problem – Examples, Types and Guide

Leave a comment x.

Save my name, email, and website in this browser for the next time I comment.

Module 1: Introduction: What is Research?

Learning Objectives

By the end of this module, you will be able to:

• Explain how the scientific method is used to develop new knowledge
• Describe why it is important to follow a research plan

The Scientific Method consists of observing the world around you and creating a  hypothesis  about relationships in the world. A hypothesis is an informed and educated prediction or explanation about something. Part of the research process involves testing the  hypothesis , and then examining the results of these tests as they relate to both the hypothesis and the world around you. When a researcher forms a hypothesis, this acts like a map through the research study. It tells the researcher which factors are important to study and how they might be related to each other or caused by a  manipulation  that the researcher introduces (e.g. a program, treatment or change in the environment). With this map, the researcher can interpret the information he/she collects and can make sound conclusions about the results.

Research can be done with human beings, animals, plants, other organisms and inorganic matter. When research is done with human beings and animals, it must follow specific rules about the treatment of humans and animals that have been created by the U.S. Federal Government. This ensures that humans and animals are treated with dignity and respect, and that the research causes minimal harm.

No matter what topic is being studied, the value of the research depends on how well it is designed and done. Therefore, one of the most important considerations in doing good research is to follow the design or plan that is developed by an experienced researcher who is called the  Principal Investigator  (PI). The PI is in charge of all aspects of the research and creates what is called a  protocol  (the research plan) that all people doing the research must follow. By doing so, the PI and the public can be sure that the results of the research are real and useful to other scientists.

Module 1: Discussion Questions

• How is a hypothesis like a road map?
• Who is ultimately responsible for the design and conduct of a research study?
• How does following the research protocol contribute to informing public health practices?

Email Updates

The university of tulsa Online Blog

Trending topics in the tu online community

Nursing Research: What It Is and Why It Matters

When people think about medical research, they often think about cutting-edge surgical procedures and revolutionary new medications. As important as those advancements are, another type of research is just as vital: nursing research.

This type of research informs and improves nursing practice. In many cases, it’s focused on improving patient care. Experienced nurses who have advanced nursing degrees and training in research design typically conduct this research.

Nurse research can explore any number of topics, from symptomology to patient diet. However, no matter the focus of a research project, nurse research can improve health care in an impressive number of ways. As experts in their field, nurse researchers can pursue a wide range of unique career advancement opportunities .

Why Nursing Research Matters: Examples of Research in Action

Research drives innovation in every industry. Given that nurses are on the front line of the health care industry, the research they do can be particularly impactful for patient outcomes. 

It Can Improve Patients’ Quality of Life

Patients diagnosed with life-threatening chronic diseases often undergo intense treatments with sometimes debilitating side effects. Nursing research is vital to helping such patients maintain a high quality of life.

For example, a 2018 study led by a nurse scientist explored why cancer patients undergoing chemotherapy frequently experience severe nausea. While the physical toll of chemotherapy contributes to nausea, the study found that patients who have factors such as children to take care of, high psychological stress, and trouble performing day-to-day tasks are often much more likely to experience nausea.

By identifying the root causes of nausea and which patients are more likely to experience it, this research allows health care professionals to develop evidence-based care practices . This can include prescribing anti-nausea medications and connecting patients to mental health professionals.

It’s Central to Making Health Care More Equitabl

A Gallup survey reports that about 38% of Americans put off seeking medical treatment due to costs. Unfortunately, cost is only one factor that prevents people from seeking treatment. Many Americans don’t live close to medical providers that can meet their needs, aren’t educated about health, or encounter discrimination.

As complex as this issue is, the National Institute of Nursing Research (NINR) asserts that the country’s nurse researchers can lead the charge in tackling it. In its strategic plan for 2022 to 2026, the institute highlights the following:

• Nursing has long been one of the most trusted professions in the country.
• Nurses often interact with patients, patients’ families, and communities more frequently than other health care professionals.
• The care that nurses provide must often take environmental and social factors into account.

These traits put nurses in the position to not only research health inequity but also put their research to work in their organizations. To help make that happen, NINR often funds nurse-led research projects focused on equity and social determinants of health. With that kind of backing, the field may become more transformative than ever.

It Can Strengthen the Health Care Workforce

While nursing research can be used to improve patient care, it can also be leveraged to solve issues health care professionals face daily. Research about the state of the health care workforce during the COVID-19 pandemic is a perfect illustration.

In 2022, a team of nurse researchers published a report called Nursing Crisis: Challenges and Opportunities for Our Profession After COVID-19 in the International Journal of Nursing Practice . In it, the authors provided concrete statistics about the following:

• Mental and physical health issues many nurses encountered
• Effects of increased workloads and decreased nurse-to-patient ratios
• How many nurses were planning to leave the profession altogether

As nurses themselves, the authors also offer actionable, evidence-based solutions to these issues, such as streamlining patient documentation systems and implementing employee wellness programs.

However, this type of research isn’t just important to solving workforce issues stemming from specific emergencies, such as the COVID-19 pandemic. By publishing quantifiable data about the challenges they face, nurse researchers empower other nurses and professional nursing organizations to advocate for themselves. This can help employers enact effective policies, support their nursing staff, and draw more talented people into the profession.

Career Opportunities in Nursing Research

Nurse researchers can work in any number of administrative, direct care, and academic roles. However, because nurse research often requires clinical care and data analysis skills, jobs in this field typically require an advanced degree, such as a Master of Science in Nursing (MSN).

While many more nurse research career opportunities exist, here are four career paths nurses with research experience and advanced degrees can explore.

Nurse Researcher

Nurse researchers identify issues related to nursing practice, collect data about them, and conduct research projects designed to inform practice and policy. While they often work in academic medical centers and universities, they can work for any type of health care provider as well as health care advocacy agencies.

In addition to conducting research, these professionals typically provide direct patient care. Many also write papers for peer-reviewed journals and make presentations about their work at conferences.

Clinical Research Nurse

Despite having a similar title to nurse researchers, clinical research nurses have slightly different responsibilities. These professionals are usually in charge of providing care to patients participating in medical research projects, including clinical trials and nursing research initiatives. They also typically collect data about patient progress, coordinate care between different team members, and contribute to academic papers.

Occupational Health Nurse

Also referred to as environmental health nurses, occupational health nurses serve specific communities, such as professionals in a particular industry or people who live in a particular area. They often educate their communities about relevant health risks, advocate for stronger health and safety regulations, and run wellness programs.

To carry out their duties, occupational and environmental health nurses must typically research health trends about the people they serve, including living and working conditions that put them at risk for illness or injury. They can work for private companies and government agencies.

Nurse Educator

Nurse educators prepare new nurses to enter the workforce or train experienced nurses in more advanced techniques. This can include teaching classes and providing on-the-job training. They often work for colleges, universities, and large health care providers.

While their duties don’t always include research, nurse educators must keep up with the health care industry’s needs and new patient care practices. This is so they can provide relevant education themselves and help their organizations design up-to-date curricula.

Make Nursing Research a Part of Your Journey

Conducting and implementing nurse research is a collaborative effort. It takes a team of informed leaders, skilled analysts, and creative educators to create effective, evidence-based policies. Those interested in pursuing nurse research should consider The University of Tulsa’s online MSN program , which can prepare you to fill any one of those roles and more.

All of TU’s MSN students take classes on research and evidence-based practices. However, the program’s specialty tracks allow students to take their studies in multiple research-oriented directions. For instance, if you’re interested in collecting and interpreting clinical data, you can choose the Informatics and Analysis track. If you have a passion for public health policy, the Public Health and Global Vision track includes classes on population health and epidemiology.

Delivered in a flexible online format, this program can be a great option for working nurses and nontraditional students alike. To find out more, read about TU’s admission policies and request more information today.

Recommended Readings

A Nurse Educator’s Role in the Future of Nursing

How Global Health Nursing Supports Population Health

What Can You Do With an MSN?

Gallup, “Record High in U.S. Put Off Medical Care Due to Cost in 2022”

International Journal of Nursing Practice, “Nursing Crisis: Challenges and Opportunities for Our Profession After COVID‐19”

Journal of Pain Symptom Management , “Risk Factors Associated With Chemotherapy-Induced Nausea in the Week Prior to the Next Cycle and Impact of Nausea on Quality of Life Outcomes”

Mayo Clinic, Nursing

National Institute of Nursing Research, Scientific Strategy: NINR’s Research Framework

National Institute of Nursing Research, The National Institute of Nursing Research 2022-2026 Strategic Plan

Recent Articles

How Leaders Drive Quality Improvement in Nursing

University of Tulsa

Aug 23, 2024

Wellness Nurse: Career Definition and More

Types of Nursing Degrees

Aug 21, 2024

Learn more about the benefits of receiving your degree from The University of Tulsa

• Online Program Tuition
• AGACNP Certificate Online
• Online MSN Program
• Accelerated Online BSN
• RN to BSN Program
• RN to MSN Program
• MS in Cyber Security
• Meet the Team
• Nursing Student Practicum Requirements
• Disclosures for Professional Nursing Licensure
• On Campus Programs

Have a language expert improve your writing

Run a free plagiarism check in 10 minutes, generate accurate citations for free.

• Knowledge Base

Methodology

• Types of Research Designs Compared | Guide & Examples

Types of Research Designs Compared | Guide & Examples

Published on June 20, 2019 by Shona McCombes . Revised on June 22, 2023.

When you start planning a research project, developing research questions and creating a  research design , you will have to make various decisions about the type of research you want to do.

There are many ways to categorize different types of research. The words you use to describe your research depend on your discipline and field. In general, though, the form your research design takes will be shaped by:

• The type of knowledge you aim to produce
• The type of data you will collect and analyze
• The sampling methods , timescale and location of the research

This article takes a look at some common distinctions made between different types of research and outlines the key differences between them.

Table of contents

Types of research aims, types of research data, types of sampling, timescale, and location, other interesting articles.

The first thing to consider is what kind of knowledge your research aims to contribute.

Prevent plagiarism. Run a free check.

The next thing to consider is what type of data you will collect. Each kind of data is associated with a range of specific research methods and procedures.

Finally, you have to consider three closely related questions: how will you select the subjects or participants of the research? When and how often will you collect data from your subjects? And where will the research take place?

Keep in mind that the methods that you choose bring with them different risk factors and types of research bias . Biases aren’t completely avoidable, but can heavily impact the validity and reliability of your findings if left unchecked.

Choosing between all these different research types is part of the process of creating your research design , which determines exactly how your research will be conducted. But the type of research is only the first step: next, you have to make more concrete decisions about your research methods and the details of the study.

Read more about creating a research design

If you want to know more about statistics , methodology , or research bias , make sure to check out some of our other articles with explanations and examples.

• Normal distribution
• Degrees of freedom
• Null hypothesis
• Discourse analysis
• Control groups
• Mixed methods research
• Non-probability sampling
• Quantitative research
• Ecological validity

Research bias

• Rosenthal effect
• Implicit bias
• Cognitive bias
• Selection bias
• Negativity bias
• Status quo bias

Cite this Scribbr article

If you want to cite this source, you can copy and paste the citation or click the “Cite this Scribbr article” button to automatically add the citation to our free Citation Generator.

McCombes, S. (2023, June 22). Types of Research Designs Compared | Guide & Examples. Scribbr. Retrieved September 3, 2024, from https://www.scribbr.com/methodology/types-of-research/

Is this article helpful?

Shona McCombes

Other students also liked, what is a research design | types, guide & examples, qualitative vs. quantitative research | differences, examples & methods, what is a research methodology | steps & tips, "i thought ai proofreading was useless but..".

I've been using Scribbr for years now and I know it's a service that won't disappoint. It does a good job spotting mistakes”

• See us on facebook
• See us on twitter
• See us on youtube
• See us on linkedin
• See us on instagram

Fermented-food diet increases microbiome diversity, decreases inflammatory proteins, study finds

Stanford researchers discover that a 10-week diet high in fermented foods boosts microbiome diversity and improves immune responses.

July 12, 2021 - By Janelle Weaver

Stanford researchers found that eating a diet high in fermented foods such as kimchi increases the diversity of gut microbes, which is associated with improved health. Nungning20/Shutterstock

A diet rich in fermented foods enhances the diversity of gut microbes and decreases molecular signs of inflammation, according to researchers at the Stanford School of Medicine .

In a clinical trial, 36 healthy adults were randomly assigned to a 10-week diet that included either fermented or high-fiber foods. The two diets resulted in different effects on the gut microbiome and the immune system.

Eating foods such as yogurt, kefir, fermented cottage cheese, kimchi and other fermented vegetables, vegetable brine drinks, and kombucha tea led to an increase in overall microbial diversity, with stronger effects from larger servings. “This is a stunning finding,” said Justin Sonnenburg , PhD, an associate professor of microbiology and immunology. “It provides one of the first examples of how a simple change in diet can reproducibly remodel the microbiota across a cohort of healthy adults.”

In addition, four types of immune cells showed less activation in the fermented-food group. The levels of 19 inflammatory proteins measured in blood samples also decreased. One of these proteins, interleukin 6, has been linked to conditions such as rheumatoid arthritis, Type 2 diabetes and chronic stress.

“Microbiota-targeted diets can change immune status, providing a promising avenue for decreasing inflammation in healthy adults,” said Christopher Gardner , PhD, the Rehnborg Farquhar Professor and director of nutrition studies at the Stanford Prevention Research Center . “This finding was consistent across all participants in the study who were assigned to the higher fermented food group.”

Justin Sonnenburg

Microbe diversity stable in fiber-rich diet

By contrast, none of these 19 inflammatory proteins decreased in participants assigned to a high-fiber diet rich in legumes, seeds, whole grains, nuts, vegetables and fruits. On average, the diversity of their gut microbes also remained stable. “We expected high fiber to have a more universally beneficial effect and increase microbiota diversity,” said Erica Sonnenburg , PhD, a senior research scientist in basic life sciences, microbiology and immunology. “The data suggest that increased fiber intake alone over a short time period is insufficient to increase microbiota diversity.”

The study published online July 12 in Cell. Justin and Erica Sonnenburg and Christopher Gardner are co-senior authors. The lead authors are Hannah Wastyk , a PhD student in bioengineering, and former postdoctoral scholar Gabriela Fragiadakis, PhD, who is now an assistant professor of medicine at UC-San Francisco.

A wide body of evidence has demonstrated that diet shapes the gut microbiome, which can affect the immune system and overall health. According to Gardner, low microbiome diversity has been linked to obesity and diabetes.

“We wanted to conduct a proof-of-concept study that could test whether microbiota-targeted food could be an avenue for combatting the overwhelming rise in chronic inflammatory diseases,” Gardner said.

The researchers focused on fiber and fermented foods due to previous reports of their potential health benefits. While high-fiber diets have been associated with lower rates of mortality, the consumption of fermented foods can help with weight maintenance and may decrease the risk of diabetes, cancer and cardiovascular disease.

Erica Sonnenburg

The researchers analyzed blood and stool samples collected during a three-week pre-trial period, the 10 weeks of the diet, and a four-week period after the diet when the participants ate as they chose.

The findings paint a nuanced picture of the influence of diet on gut microbes and immune status. On one hand, those who increased their consumption of fermented foods showed similar effects on their microbiome diversity and inflammatory markers, consistent with prior research showing that short-term changes in diet can rapidly alter the gut microbiome. On the other hand, the limited change in the microbiome within the high-fiber group dovetails with the researchers’ previous reports of a general resilience of the human microbiome over short time periods.

Designing a suite of dietary and microbial strategies

The results also showed that greater fiber intake led to more carbohydrates in stool samples, pointing to incomplete fiber degradation by gut microbes. These findings are consistent with other research suggesting that the microbiome of people living in the industrialized world is depleted of fiber-degrading microbes.

“It is possible that a longer intervention would have allowed for the microbiota to adequately adapt to the increase in fiber consumption,” Erica Sonnenburg said. “Alternatively, the deliberate introduction of fiber-consuming microbes may be required to increase the microbiota’s capacity to break down the carbohydrates.”

In addition to exploring these possibilities, the researchers plan to conduct studies in mice to investigate the molecular mechanisms by which diets alter the microbiome and reduce inflammatory proteins. They also aim to test whether high-fiber and fermented foods synergize to influence the microbiome and immune system of humans. Another goal is to examine whether the consumption of fermented food decreases inflammation or improves other health markers in patients with immunological and metabolic diseases, and in pregnant women and older individuals.

Christopher Gardner

“There are many more ways to target the microbiome with food and supplements, and we hope to continue to investigate how different diets, probiotics and prebiotics impact the microbiome and health in different groups,” Justin Sonnenburg said.

Other Stanford co-authors are Dalia Perelman, health educator; former graduate students Dylan Dahan, PhD, and Carlos Gonzalez, PhD; graduate student Bryan Merrill; former research assistant Madeline Topf; postdoctoral scholars William Van Treuren, PhD, and Shuo Han, PhD; Jennifer Robinson, PhD, administrative director of the Community Health and Prevention Research Master’s Program and program manager of the Nutrition Studies Group; and Joshua Elias, PhD.

Researchers from Chan-Zuckerberg Biohub also contributed to the study.

The work was supported by donations to the Center for Human Microbiome Research; Paul and Kathy Klingenstein; the Hand Foundation; Heather Buhr and Jon Feiber; Meredith and John Pasquesi; the National Institutes of Health (grant T32 AI 7328-29); a Stanford Dean’s Postdoctoral Fellowship; a National Science Foundation Graduate Student Fellowship; and seed funding from the Institute for Immunity, Transplantation and Infection and from the Sean N. Parker Center for Allergy and Asthma Research.

• Janelle Weaver

About Stanford Medicine

Stanford Medicine is an integrated academic health system comprising the Stanford School of Medicine and adult and pediatric health care delivery systems. Together, they harness the full potential of biomedicine through collaborative research, education and clinical care for patients. For more information, please visit med.stanford.edu .

The majestic cell

How the smallest units of life determine our health

• - K-town Now
• Asia-Pacific
• - Storm Tracker
• Middle East
• Map of Memorials
• Entertainment
• - Video Games
• Europe Travel
• - Quick Trips
• - After Hours
• Pacific Travel
• The Meat and Potatoes of Life
• U.S. Travel
• Storm Tracker
• Rewards for readers
• Get Stripes
• Stripes Lite
• Archives/Library
• Special Publications
• Mobile Apps
• Email Newsletters
• Digital Access
• Home Delivery
• Marine Corps
• Coast Guard
• Space Force
• Archive photo of the day
• - Schedules Europe
• - Scoreboards Europe
• - Schedules Pacific
• - Scoreboards Pacific
• - Pacific Sports Blog
• - WW II Podcast
• - Military Matters
• - Force for Hire
• Out of Uniform
• - WW II Videos
• Communities
• Stripes Europe
• Stripes Guam
• Stripes Japan
• Stripes Korea
• Stripes Okinawa
• Our Other Websites
• In Memoriam
• Month of the Military Child
• Best of Germany
• Best of the Pacific
• Letters to Santa

Senators push $15M bill to study birth defects in children of veterans exposed to toxic chemicals

A U.S. Huey helicopter sprays Agent Orange over Vietnam in an undated photo. (U.S. Army)

WASHINGTON — The generational effects of chemical warfare agents and other hazardous materials on the descendants of service members would be evaluated under a bill to fund $15 million in research on birth defects identified in the children and grandchildren of toxic-exposed veterans.

The Molly R. Loomis Research for Descendants of Toxic Exposed Veterans Act would commission multiple studies that look at the connections between toxic exposures of service members in combat zones and severe disabilities that were later diagnosed in their descendants.

The bill is included in two separate appropriations bills for the Defense Department and the Interior Department that have advanced in the Senate. House lawmakers have not offered a companion bill.

Sen. Jon Tester, D-Mont., chairman of the Senate Appropriations Committee’s subpanel on defense, and Sen. Marco Rubio, R-Fla., co-sponsored the research legislation, which would fund multiple studies by federal agencies and nonprofit organizations.

“While there has been some research on the link between birth defects and generational exposure to toxins and chemicals, there has yet to be comprehensive, government-led studies into the effects of toxic exposure on descendants of toxic-exposed veterans,” according to a statement from Tester’s office.

The funds would support the Toxic Exposures Research Program and build knowledge on the generational impact of chemical exposures on military members and their descendants, according to Tester, who also is chairman of the Senate Veterans’ Affairs Committee.

“This bill aims to empower the toxic exposures research group to conduct more vital research related to toxic exposure,” Rubio said.

The legislation is named after the daughter of a Vietnam-era Navy veteran exposed to Agent Orange during military service aboard the USS Ogden, an amphibious transport dock ship.

Molly Loomis, whose father was exposed to Agent Orange during military service in Vietnam, was born with spina bifida, a condition where the spine does not develop properly during fetal development. The birth defect has been identified in descendants of Vietnam War veterans exposed to the herbicide. (Molly Loomis)

Molly Loomis of Bozeman, Mont., was born with spina bifida, a presumptive disability that has been diagnosed in the biological children of Vietnam War veterans. Spina bifida is a condition where the spine and spinal cord do not grow properly during pregnancy.

Her father, Richard Loomis, died in 2013 from bladder cancer, which was presumed to be connected to his exposure to Agent Orange, according to the family.

“I try putting myself in my dad’s shoes and how it might feel to face toxic exposure health issues. But then to learn your exposure could have resulted in the birth defects, disabilities, even shortened lifespans of your own children, perhaps grandchildren, too — I don’t think I can fully imagine the nightmare of that,” Loomis said. “Not everyone chooses to protect their country, but I’d say everyone wants to protect their children.”

Service members exposed to toxic substances are more likely than the general population to develop rare cancers, heart conditions and chronic lung conditions, according to the legislation.

Descendants of toxic-exposed service members also can experience lifelong medical conditions related to their parents’ or grandparents’ exposure to toxic substances, the legislation said.

Mokie Porter, communications director for the advocacy group Vietnam Veterans of America, described the legislation as another mechanism for funding an area that historically has been overlooked in research by the Department of Veterans Affairs.

“Before these Vietnam veterans pass on, they want to ensure their children are taken care of. The children and grandchildren of toxic-exposed veterans have health conditions that have not been fully addressed,” Porter said. “Most of the evidence linking exposure to birth defects is anecdotal because the research isn’t being done.”

Porter said new research dollars also would enable studies to be done outside the VA, including universities, medical centers and other nonprofit organizations with a background in studying birth defects and chemical exposures.

The VA presumes spina bifida in biological children of certain Vietnam-era veterans who were exposed to Agent Orange and other herbicides was caused by military service.

People with spinal bifida can have paralysis and require extensive surgeries and medical care.

But Porter said while spina bifida is the most recognized birth defect associated with military chemical exposure, the link is still considered limited for lack of scientific evidence.

A previous bill — the Toxic Exposure Research Act — that Congress adopted in 2016 had authorized research into birth defects associated with chemical exposures during military service. But the VA has refused to act on it, said Jack McManus, an Air Force veteran and president of the Vietnam Veterans Association of America.

The VA determined research was not feasible because it would focus on the descendants and not the veterans themselves, he said.

McManus, a former sergeant who served from 1965-1969, said he was a crew member on planes that sprayed herbicides in Vietnam and has experienced multiple health effects, including several types of cancer, neuropathy and diabetes. He does not have children.

The new legislation would require an interagency group on toxic exposures to work to raise awareness about associations between toxic exposures and birth defects, McManus said.

The bill also would require research and current treatments for serious health conditions identified in the descendants of toxic-exposed veterans to be published on a dedicated website.

The interagency group was established two years ago under the Sergeant First Class Heath Robinson Honoring our Promise to Address Comprehensive Toxics Act , or PACT Act.

The PACT Act awards disability benefits for veterans with diseases and injuries that are presumed to be linked to toxic exposures during military service, including from burn pits, radiation and other hazardous materials.

previous coverage

• ‘No one wants to touch this’: VA treatment delayed for Iraq vets sick from chemical weapons exposure
• K2 veterans with unexplained medical conditions to qualify for VA disability assistance
• Lawmakers urge VA to reduce backlog, wait times on veterans’ claims for benefits
• ‘All I can do is wait’: Deadline looms for veterans who became sick from atomic bomb tests, cleanups and were denied benefits
• VA awards 1 million claims for health benefits for toxic exposure through PACT Act
• More than 400,000 veterans signed up for VA health care in a year

Sign Up for Daily Headlines

Sign up to receive a daily email of today's top military news stories from Stars and Stripes and top news outlets from around the world.

Sign Up Now

Researchers Discover That Sustained Neck Exertions Change The Spine And Muscles, Causing Pain

Learning new languages, sending emails, attending a virtual class, or speaking to loved ones halfway around the world are just some of the tasks accomplished by touching a button on a smartphone. Unfortunately, the ease and convenience of modern devices have also come with a painful crick in the neck. The sedentary nature of work and prolonged use of hand-held devices and computers have contributed to a sharp increase in neck pain.

While fatigue in neck muscles has long been suspected of causing pain, the actual mechanical changes in the spine and muscles that precede weakness remain an outstanding question.

Now, using high-precision X-ray imaging to track spine movements during neck exertion tasks, Texas A&M University researchers have discovered that sustained neck exertions cause muscle fatigue that then exaggerate the cervical spine curvature. This leads to neck pain.

Their results are published in the Proceedings of the National Academy of Sciences .

“We are talking about subtle movements of the neck in statically held positions, which are hard to capture. They are also highly complex because there are so many individual pieces in the neck, or as we call, motion segments,” said Dr. Xudong Zhang , professor in the Department of Industrial and Systems Engineering. “With this study, we have, for the first time, provided unequivocal evidence that fatigue causes mechanical changes that increase the risk.”

Zhang said this understanding can help to make informed decisions about how we work and the design of products (e.g., head-mounted wearables) that can potentially reduce the risk of neck pain.

Prevalence Of Neck Pain

Neck pain is one of the most common musculoskeletal disorders, and globally, around 2500 people out of 100,000 have some form of neck pain. In fact, by 2050, the estimated global number of neck pain cases is projected to increase by 32.5%. An important risk factor for neck pain is bad posture sustained over long periods. Consequently, working long hours on the computer in a stooped position or prolonged use of smart devices are important contributors to neck pain.

Neck posture is maintained dynamically by the bones of the spine pulled into position by the muscles that attach to them.  Although the neck is highly flexible, it is also very unstable.

“The muscle drives movements by producing force,” said Zhang. “We hypothesized that when different muscles’ force production abilities diminish, the bone positions change and that can be captured.”

Measuring Fatigue

To test their idea, they recruited healthy volunteers in a “sustained-till-exhaustion” neck exertion task. The subjects maintained their necks in the neutral, 40° extended (bent backwards) and 40° bent forward for a certain duration. The investigators used electromyography (EMG) to measure muscle electrical activity. In particular, they objectively measured muscle fatigue through changes in the frequency of the EMG signal. In addition, they used high-precision, dynamic X-ray technology to track small-amplitude cervical spine movements that were of the order of a few degrees.

“We imagined the cervical spine as a cantilever bridge,” said Zhang. “If there is excessive and/or repeated stress on the bridge, it might sag or buckle; similarly, if the muscles get fatigued, the cervical spine may deflect.”

The researchers’ experimental paradigm validated that sustained exertions indeed lead to EMG signals of fatigue. Biomechanically, the muscular fatigue modified the spine’s mechanics, which then increases the propensity for injury.

Additional Investigation

As a next step, the researchers will develop dynamic biomechanical models, a novel approach that promises to provide a more realistic understanding of the muscular events that precede fatigue. Unlike the model in this study that assumes static neck exertions, the dynamic model will capture subtle but consequential changes in the muscles and bones over time.

Funding for this research is administered by the Texas A&M Engineering Experiment Station (TEES), the official research agency for Texas A&M Engineering.

Media contact:  Alyson Chapman, [email protected]

Related Stories

Aurora Borealis Can Light Up The Sky And Shut Down The Grid

The geomagnetic disturbances behind the northern lights can also hurt communication and power systems, but Texas A&M researchers are studying ways to mitigate their impact.

Texas A&M Teams Up To Advance Robotic Dexterity

A&M joins a Northwestern University-led center to bring highly skilled, affordable robotic assistance to the workforce and beyond.

25 By 25 Goal Achieved In Fall 2023

The College of Engineering initiative expanded engineering education access to meet rising demand for engineers in Texas and beyond.

Recent Stories

Helping Your Pet With Separation Anxiety

Prevention is key. and there are a variety of things that can be done to help prevent separation anxiety in pets.

When To Plant Wildflower Seeds For Stunning Spring Blooms

From bluebonnets to Indian paintbrushes, a Texas A&M expert says planting in fall is key.

‘Social Profit Orientation’ Can Help Companies And Nonprofits Alike Do More Good In The World

Generating financial returns, noble and important as that goal is, is no longer enough, three scholars of marketing argue.

Subscribe to the Texas A&M Today newsletter for the latest news and stories every week.

An official website of the United States government

The .gov means it’s official. Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

The site is secure. The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

• Publications
• Account settings

Preview improvements coming to the PMC website in October 2024. Learn More or Try it out now .

• Advanced Search
• Journal List
• Indian J Anaesth
• v.60(9); 2016 Sep

Types of studies and research design

Mukul chandra kapoor.

Department of Anesthesiology, Max Smart Super Specialty Hospital, New Delhi, India

Medical research has evolved, from individual expert described opinions and techniques, to scientifically designed methodology-based studies. Evidence-based medicine (EBM) was established to re-evaluate medical facts and remove various myths in clinical practice. Research methodology is now protocol based with predefined steps. Studies were classified based on the method of collection and evaluation of data. Clinical study methodology now needs to comply to strict ethical, moral, truth, and transparency standards, ensuring that no conflict of interest is involved. A medical research pyramid has been designed to grade the quality of evidence and help physicians determine the value of the research. Randomised controlled trials (RCTs) have become gold standards for quality research. EBM now scales systemic reviews and meta-analyses at a level higher than RCTs to overcome deficiencies in the randomised trials due to errors in methodology and analyses.

INTRODUCTION

Expert opinion, experience, and authoritarian judgement were the norm in clinical medical practice. At scientific meetings, one often heard senior professionals emphatically expressing ‘In my experience,…… what I have said is correct!’ In 1981, articles published by Sackett et al . introduced ‘critical appraisal’ as they felt a need to teach methods of understanding scientific literature and its application at the bedside.[ 1 ] To improve clinical outcomes, clinical expertise must be complemented by the best external evidence.[ 2 ] Conversely, without clinical expertise, good external evidence may be used inappropriately [ Figure 1 ]. Practice gets outdated, if not updated with current evidence, depriving the clientele of the best available therapy.

Triad of evidence-based medicine

EVIDENCE-BASED MEDICINE

In 1971, in his book ‘Effectiveness and Efficiency’, Archibald Cochrane highlighted the lack of reliable evidence behind many accepted health-care interventions.[ 3 ] This triggered re-evaluation of many established ‘supposed’ scientific facts and awakened physicians to the need for evidence in medicine. Evidence-based medicine (EBM) thus evolved, which was defined as ‘the conscientious, explicit and judicious use of the current best evidence in making decisions about the care of individual patients.’[ 2 ]

The goal of EBM was scientific endowment to achieve consistency, efficiency, effectiveness, quality, safety, reduction in dilemma and limitation of idiosyncrasies in clinical practice.[ 4 ] EBM required the physician to diligently assess the therapy, make clinical adjustments using the best available external evidence, ensure awareness of current research and discover clinical pathways to ensure best patient outcomes.[ 5 ]

With widespread internet use, phenomenally large number of publications, training and media resources are available but determining the quality of this literature is difficult for a busy physician. Abstracts are available freely on the internet, but full-text articles require a subscription. To complicate issues, contradictory studies are published making decision-making difficult.[ 6 ] Publication bias, especially against negative studies, makes matters worse.

In 1993, the Cochrane Collaboration was founded by Ian Chalmers and others to create and disseminate up-to-date review of randomised controlled trials (RCTs) to help health-care professionals make informed decisions.[ 7 ] In 1995, the American College of Physicians and the British Medical Journal Publishing Group collaborated to publish the journal ‘Evidence-based medicine’, leading to the evolution of EBM in all spheres of medicine.

MEDICAL RESEARCH

Medical research needs to be conducted to increase knowledge about the human species, its social/natural environment and to combat disease/infirmity in humans. Research should be conducted in a manner conducive to and consistent with dignity and well-being of the participant; in a professional and transparent manner; and ensuring minimal risk.[ 8 ] Research thus must be subjected to careful evaluation at all stages, i.e., research design/experimentation; results and their implications; the objective of the research sought; anticipated benefits/dangers; potential uses/abuses of the experiment and its results; and on ensuring the safety of human life. Table 1 lists the principles any research should follow.[ 8 ]

General principles of medical research

Types of study design

Medical research is classified into primary and secondary research. Clinical/experimental studies are performed in primary research, whereas secondary research consolidates available studies as reviews, systematic reviews and meta-analyses. Three main areas in primary research are basic medical research, clinical research and epidemiological research [ Figure 2 ]. Basic research includes fundamental research in fields shown in Figure 2 . In almost all studies, at least one independent variable is varied, whereas the effects on the dependent variables are investigated. Clinical studies include observational studies and interventional studies and are subclassified as in Figure 2 .

Classification of types of medical research

Interventional clinical study is performed with the purpose of studying or demonstrating clinical or pharmacological properties of drugs/devices, their side effects and to establish their efficacy or safety. They also include studies in which surgical, physical or psychotherapeutic procedures are examined.[ 9 ] Studies on drugs/devices are subject to legal and ethical requirements including the Drug Controller General India (DCGI) directives. They require the approval of DCGI recognized Ethics Committee and must be performed in accordance with the rules of ‘Good Clinical Practice’.[ 10 ] Further details are available under ‘Methodology for research II’ section in this issue of IJA. In 2004, the World Health Organization advised registration of all clinical trials in a public registry. In India, the Clinical Trials Registry of India was launched in 2007 ( www.ctri.nic.in ). The International Committee of Medical Journal Editors (ICMJE) mandates its member journals to publish only registered trials.[ 11 ]

Observational clinical study is a study in which knowledge from treatment of persons with drugs is analysed using epidemiological methods. In these studies, the diagnosis, treatment and monitoring are performed exclusively according to medical practice and not according to a specified study protocol.[ 9 ] They are subclassified as per Figure 2 .

Epidemiological studies have two basic approaches, the interventional and observational. Clinicians are more familiar with interventional research, whereas epidemiologists usually perform observational research.

Interventional studies are experimental in character and are subdivided into field and group studies, for example, iodine supplementation of cooking salt to prevent hypothyroidism. Many interventions are unsuitable for RCTs, as the exposure may be harmful to the subjects.

Observational studies can be subdivided into cohort, case–control, cross-sectional and ecological studies.

• Cohort studies are suited to detect connections between exposure and development of disease. They are normally prospective studies of two healthy groups of subjects observed over time, in which one group is exposed to a specific substance, whereas the other is not. The occurrence of the disease can be determined in the two groups. Cohort studies can also be retrospective
• Case–control studies are retrospective analyses performed to establish the prevalence of a disease in two groups exposed to a factor or disease. The incidence rate cannot be calculated, and there is also a risk of selection bias and faulty recall.

Secondary research

Narrative review.

An expert senior author writes about a particular field, condition or treatment, including an overview, and this information is fortified by his experience. The article is in a narrative format. Its limitation is that one cannot tell whether recommendations are based on author's clinical experience, available literature and why some studies were given more emphasis. It can be biased, with selective citation of reports that reinforce the authors' views of a topic.[ 12 ]

Systematic review

Systematic reviews methodically and comprehensively identify studies focused on a specified topic, appraise their methodology, summate the results, identify key findings and reasons for differences across studies, and cite limitations of current knowledge.[ 13 ] They adhere to reproducible methods and recommended guidelines.[ 14 ] The methods used to compile data are explicit and transparent, allowing the reader to gauge the quality of the review and the potential for bias.[ 15 ]

A systematic review can be presented in text or graphic form. In graphic form, data of different trials can be plotted with the point estimate and 95% confidence interval for each study, presented on an individual line. A properly conducted systematic review presents the best available research evidence for a focused clinical question. The review team may obtain information, not available in the original reports, from the primary authors. This ensures that findings are consistent and generalisable across populations, environment, therapies and groups.[ 12 ] A systematic review attempts to reduce bias identification and studies selection for review, using a comprehensive search strategy and specifying inclusion criteria. The strength of a systematic review lies in the transparency of each phase and highlighting the merits of each decision made, while compiling information.

Meta-analysis

A review team compiles aggregate-level data in each primary study, and in some cases, data are solicited from each of the primary studies.[ 16 , 17 ] Although difficult to perform, individual patient meta-analyses offer advantages over aggregate-level analyses.[ 18 ] These mathematically pooled results are referred to as meta-analysis. Combining data from well-conducted primary studies provide a precise estimate of the “true effect.”[ 19 ] Pooling the samples of individual studies increases overall sample size, enhances statistical analysis power, reduces confidence interval and thereby improves statistical value.

The structured process of Cochrane Collaboration systematic reviews has contributed to the improvement of their quality. For the meta-analysis to be definitive, the primary RCTs should have been conducted methodically. When the existing studies have important scientific and methodological limitations, such as smaller sized samples, the systematic review may identify where gaps exist in the available literature.[ 20 ] RCTs and systematic review of several randomised trials are less likely to mislead us, and thereby help judge whether an intervention is better.[ 2 ] Practice guidelines supported by large RCTs and meta-analyses are considered as ‘gold standard’ in EBM. This issue of IJA is accompanied by an editorial on Importance of EBM on research and practice (Guyat and Sriganesh 471_16).[ 21 ] The EBM pyramid grading the value of different types of research studies is shown in Figure 3 .

The evidence-based medicine pyramid

In the last decade, a number of studies and guidelines brought about path-breaking changes in anaesthesiology and critical care. Some guidelines such as the ‘Surviving Sepsis Guidelines-2004’[ 22 ] were later found to be flawed and biased. A number of large RCTs were rejected as their findings were erroneous. Another classic example is that of ENIGMA-I (Evaluation of Nitrous oxide In the Gas Mixture for Anaesthesia)[ 23 ] which implicated nitrous oxide for poor outcomes, but ENIGMA-II[ 24 , 25 ] conducted later, by the same investigators, declared it as safe. The rise and fall of the ‘tight glucose control’ regimen was similar.[ 26 ]

Although RCTs are considered ‘gold standard’ in research, their status is at crossroads today. RCTs have conflicting interests and thus must be evaluated with careful scrutiny. EBM can promote evidence reflected in RCTs and meta-analyses. However, it cannot promulgate evidence not reflected in RCTs. Flawed RCTs and meta-analyses may bring forth erroneous recommendations. EBM thus should not be restricted to RCTs and meta-analyses but must involve tracking down the best external evidence to answer our clinical questions.

Financial support and sponsorship

Conflicts of interest.

There are no conflicts of interest.

Study to Evaluate THC, CBD Benefits for Dementia-Related Agitation

September 3, 2024 · Baton Rouge, LA

Pennington Biomedical currently recruiting hospice-eligible dementia patients “LiBBY” research study 

Pennington Biomedical Research Center’s Dr. Jeff Keller is evaluating the potential for delta-9-tetrahydrocannabinol, or THC, and cannabidiol, or CBD, to reduce the behaviors indicating agitation, distress or anxiety in patients with Alzheimer’s disease or other forms of dementia. The study is designed for hospice-eligible patients who are either receiving hospice care or who are eligible for hospice, and who are exhibiting agitation concurrently with a diagnosis of dementia. There are currently no FDA-approved medications to treat agitation at the end-of-life stages in dementia patients.  

The “Life’s End Benefits of Cannabidiol and Tetrahydrocannabinol” or LiBBY, study is the first-of-its-kind national study funded by the National Institute of Aging. The placebo-controlled, double-blinded study is designed to help researchers further explore these compounds for their potential to ease the burden of patients and caregivers.  

“The restlessness, anxiety, and distress that frequently accompanies Alzheimer’s and dementia can be frustrating and frightening for both the patient and their caregivers,” said Dr. Keller, who is the director of Institute for Dementia Research & Prevention at Pennington Biomedical and a professor of aging and neurodegeneration. “The LiBBY study intends to explore whether THC and CBD can be safe and effective options for managing agitation in dementia patients. This landmark, multisite study will increase the pace of THC clinical research nationwide, and Pennington Biomedical’s participation makes it much easier to initiate THC research at this facility in the future.” 

Upon joining the study, participants will complete a baseline visit and will be randomly assigned to one of two study groups: one receiving the active study drug, and one receiving a placebo. The active study will last for 12 weeks and will include one screening visit, six in-person visits, and five evaluations by phone.  

Before the study concludes, all participants will have the opportunity to request to continue their participation in the “Open Label Extension” portion of the study. Though participants will not know if they are receiving the study drug or the placebo during the study, all participants will receive the active study drug in the “Open Label Extension” period. 

“Dementia, especially when coupled with agitation, can be frightening for patients and heartbreaking for caregivers, who frequently face burnout. As other studies have shown THC can help in treating post-chemotherapy nausea, the LiBBY study is a practical next step in exploring the benefits of these compounds and offering hope to those facing this difficult challenge,” said Dr. John Kirwan, Executive Director of Pennington Biomedical. “Dr. Keller and his colleagues have worked incredibly diligently to bring this study to Pennington Biomedical. We are proud to have this study here and to have it position the Center for similar studies in the future.” 

Pennington Biomedical is one of 11 research institutions to facilitate the LiBBY study and exploring the use of THC for dementia-related agitation. Pennington Biomedical, Georgetown University Medical Center, the University of Kentucky, and the Ralph H. Johnson VA Medical Center are currently recruiting participants.

The research facility is working with hospice care providers in Capital Region and beyond to share the details of this study with patients and their families. Carpenter Health network, a large Baton Rouge-based hospice group, is one of the care providers to help identify patients and caretakers who may be eligible for the study.

"The Carpenter Health Network is proud to join with other late-stage care facilities and networks to share this study with the families we work with daily," said Raoul Manalac, Medical Director at St. Joseph Hospice – Baton Rouge. "Dementia is accompanied by many challenges, with agitation and anxiety among the most frightening and frustrating for patients and families, and there are few options available to provide relief. This innovative study is driven by both the quest for new knowledge, as well as compassion for families dealing with dementia.”  

Hospice groups and end-of-life care providers in South Louisiana will be instrumental connecting eligible patients with the study. Those providers or groups who are interested can contact Dr. Jeff Keller at [email protected] . 

For more information contact:

Joe Coussan, Media Relations Manager, [email protected] , 225-763-3049 or Ernie Ballard, Senior Director of Communications & Marketing, [email protected] , 225-263-2677 .

About the Pennington Biomedical Research Center

The Pennington Biomedical Research Center is at the forefront of medical discovery as it relates to understanding the triggers of obesity, diabetes, cardiovascular disease, cancer and dementia. The Center conducts basic, clinical, and population research, and is a campus of the LSU System. The research enterprise at Pennington Biomedical includes over 530 employees within a network of 44 clinics and research laboratories, and 13 highly specialized core service facilities. Its scientists and physician/scientists are supported by research trainees, lab technicians, nurses, dietitians, and other support personnel. Pennington Biomedical is a state-of-the-art research facility on a 222-acre campus in Baton Rouge. For more information, see www.pbrc.edu .

Pennington Biomedical Research Center 6400 Perkins Road Baton Rouge, LA 70808

Centers & Institutes

Metabolic Basis of Disease Center 

Institute for Dementia Research & Prevention

Louisiana Clinical & Translational Science Center

Nutrition Obesity Research Center

Metamor Institute

Center for Military Performance & Resilience

Childhood Obesity and Diabetes Research  

Human Research Protections Program

Research Kitchen + Recipes

Greaux Healthy

Business Development

LAUNCHED Program

Pennington Biomedical Research Foundation

Our Partners

Obesity Society

American Diabetes Association

Sign Up For Updates

6400 Perkins Rd. Baton Rouge, LA 70808 ph: (225) 763-2500 fax: (225) 763-3022

©   Copyright Pennington Biomedical Research Center

• Fierce Pharma
• Fierce Biotech
• Fierce Healthcare
• Fierce Life Sciences Events
• Cell & Gene Therapy
• Clinical Data
• Venture Capital
• Diagnostics
• AI and Machine Learning
• Special Reports
• Clinical Development
• Special Report
• Awards Gala
• Fierce Events
• Industry Events
• Whitepapers

Moderna’s mpox vaccine prevents severe symptoms in monkeys compared to Bavarian Nordic’s Jynneos

A new type of mpox, clade Ib, has been spreading rapidly within the Democratic Republic of Congo and leaking outside the African nation’s borders since Sept. 2023. In response, the World Health Organization (WHO) declared the outbreak a public health emergency of international concern (PHEIC) last month, the second such declaration for an mpox variant in the past two years.

The rise of mpox has sparked a mad dash to develop new vaccines that are safer, more effective and easier to manufacture. Moderna, a biotech best known for its mRNA Covid-19 vaccine, has aimed its expertise in the messenger molecules at mpox.

In a new study, Moderna’s mRNA vaccine candidate beat the dominant Jynneos vaccine at preventing severe disease and reducing virus levels in monkeys. The results were published in the journal Cell on Sept. 4.

“The mRNA-1769 vaccine appears promising,” Jean Nachega, M.D., Ph.D., an epidemiologist at the University of Pittsburgh who was not involved with the study, told Fierce Biotech in an email. “The vaccine's ability to elicit a strong immune response, combining neutralizing and functional antibodies, suggests its potential as an effective tool against mpox.”

Moderna first saw the need and opportunity for a new mpox vaccine after the first PHEIC was declared in 2022, Alec Freyn, Ph.D., principal scientist in the biotech’s virology group, told Fierce in an interview.

“We started to advance preclinical development as quick as possible,” Freyn said, “and went from conception to a pivotal [non-human primate] study in half a year.”

Moderna’s vaccine candidate, mRNA-1769, contains mRNA molecules that code for four proteins found on the surface of the monkeypox virus (the virus itself is called monkeypox, while the disease the virus causes is mpox). Recipients' bodies then turn the mRNA into viral proteins, which the immune system can learn to recognize and fight against.

The four chosen proteins are vital for the virus to replicate and are highly conserved across monkeypox’s relatives, the orthopox viruses. Freyn said the team has tested the vaccine in the lab against other orthopox viruses, like camelpox, rabbitpox and multiple mpox strains, and found it neutralizes them. “We think that we can protect against a broad range of orthopox viruses,” he said.

Freyn and colleagues put mRNA-1769 to the test in cynomolgus macaques, monkeys commonly used in animal studies. They randomized 18 macaques into three groups, with six monkeys each receiving Jynneos, mRNA-1769 or a saline solution control. After vaccination, the team injected the simians with a variant of mpox known to be lethal.

Five of the control macaques succumbed to the illness, while all of the vaccinated animals survived. Monkeys that received the mRNA vaccine showed the fewest lesions, a hallmark of mpox, with an average peak lesion count of 54. The Jynneos group had an average peak of 607, with all these macaques falling into the WHO’s classifications for severe disease (more than 100 lesion) or grave disease (more than 250 lesions). None of the mRNA vaccine recipients developed severe or grave mpox.

“We were very excited to see the mRNA vaccine performing quite well, especially in reducing the duration of disease and reducing the amount of lesions,” Freyn said.

But for Freyn, the most striking result is that the mRNA vaccine group had lower levels of monkeypox virus in their blood and throats compared to the Jynneos group. “I was definitely surprised by how well we were able to control virus in respiratory tissue,” Freyn said. “This is a nice additional piece of data that we can drive antibodies to the respiratory tract and potentially prevent transmission, but that will require additional study.”

“This reduced viral load could result in a lower risk of transmission, especially in at-risk populations,” Nachega said. “By controlling viral shedding, the vaccine could be a critical tool in limiting the spread of mpox.”

The team also found that exposure to mRNA-1769 led the macaques to produce antibodies that bound to the viral proteins stronger than antibodies produced by Jynneos. This may be because of the nature of the mRNA platform, Freyn said. 

With the mRNA vaccine, the body is essentially told to focus solely on four key viral proteins; in contrast, Jynneos uses a weakened form of the monkeypox virus in its vaccine (a common technique), which means the immune system has to do more to decipher the right proteins to learn and target.

With its mettle tested in macaques, mRNA-1769 is now being put through a phase 1/2 clinical trial of 351 adults in the United Kingdom, with results set to read out by mid-2025. 

An mRNA vaccine from Germany company BioNTech, BNT166, is also in clinical trials after previously proving it can protect mice and macaques from mpox. That company's phase 1/2 trial, enrolling 64 people, is also set to wrap up by the middle of next year. At this point, there’s no way to directly compare Moderna’s vaccine to BNT166 or any other mRNA vaccines, Freyn said.

• Health A to Z
• Alternative Medicine
• Blood Disorders
• Bone and Joint
• Cardiovascular Diseases
• Child Health
• Coronavirus
• Dental Care
• Digestive System
• Disabilities
• Drug Center
• Ear, Nose, and Throat
• Environmental Health
• Exercise And Fitness
• First Aid and Emergencies
• General Health
• Health Technology
• Hearing Loss
• Hypertension
• Infectious Disease
• LGBTQ Health
• Liver Health
• Men's Health
• Mental Health
• Pain Management
• Public Health
• Pulmonology
• Senior Health
• Sexual Health
• Skin Health
• Women's Health
• News For Medical Professionals
• Our Products
• Consumer News
• Physician's Briefing
• HealthDay TV
• Wellness Library
• HealthDay Living
• Conference Coverage
• Custom Products
• Health Writing
• Health Editing
• Video Production
• Medical Review

Study Debunks Theory Linking Autism to Changes in Brain's Amygdala

Key takeaways.

Autism likely isn’t caused by faulty connections to the amygdala, as theorized

Brain scans showed similar variation in connectivity in the brain region between people with and without autism

Researchers urged more study to further understand brain differences in people with autism

WEDNESDAY, Sept. 4, 2024 (HealthDay News) -- A new brain imaging study has concluded that autism likely isn’t caused by faulty connections to the amygdala.

A prevailing hypothesis of autism spectrum disorder has held that people with the condition have poorer neural connections in certain brain regions, including the amygdala.

However, researchers found no evidence that people with autism had amygdala connections that differed substantially to those found in people without autism.

The amygdala is a small, almond-shaped structure in the brain that plays a key role in processing emotions and social cues, researchers explained.

For the study, researchers analyzed high-quality MRI brain scans from 488 people, including 212 with autism.

The team focused on the neural connections emanating from the amygdala when the participants were not actively engaged in any tasks.

Average variation in connectivity to the amygdala was similar in people with and without autism, results showed.

The results were the same when researchers looked at specific subregions of the amygdala, researchers added.

The new study was published in the American Journal of Psychiatry .

“It is important to note that we do not conclude that amygdala [connectivity] is generally typical in autism. Instead, we conclude that the evidence for atypical [connectivity] of the amygdala in autism is weak at best, and unreliable,” concluded the researchers led by Dorit Kliemann , an assistant professor of psychological and brain sciences with the University of Iowa.

The researchers said in a news release from the American Psychiatric Association that more brain scan research should be done to further understand the differences in people with and without autism, calling it “an investment worth prioritizing if we are to better understand and delineate the neurobiological substrates of autism.”

More information

The University of California-Davis has more on the amygdala and autism .

SOURCE: American Psychiatric Association, news release, Aug. 29, 2024

What This Means For You

There remains no clear evidence what brain processes are involved in autism.

• About the Hub
• Announcements
• Faculty Experts Guide
• Subscribe to the newsletter

Explore by Topic

• Arts+Culture
• Politics+Society
• Science+Technology
• Student Life
• University News
• Voices+Opinion
• About Hub at Work
• Gazette Archive
• Benefits+Perks
• Health+Well-Being
• Current Issue
• About the Magazine
• Past Issues
• Support Johns Hopkins Magazine
• Subscribe to the Magazine

You are using an outdated browser. Please upgrade your browser to improve your experience.

Credit: Johns Hopkins University

Study inspired by curious 15-year-old could advance search for novel antibiotics

New bacteria found in raw honey could benefit the fight against legionnaires' disease and antibiotic resistance, according to new johns hopkins medicine research.

By Alexandria Carolan

Equipped with a suitcase full of honey, high school sophomore Carson Shin contacted university after university, hoping to work with expert biochemists to investigate the sticky substance's antimicrobial properties.

The only problem? Scientists seemed wary of collaborating with a 15-year-old.

Image caption: Carson Shin

Shin couldn't have predicted that, five years later, he would co-author a Johns Hopkins Medicine report showing that dormant and previously undescribed bacteria found in raw honey produce antibiotics that can kill the bacterial pathogen Legionella . The pathogen can be found in potable water and causes Legionnaires' disease, a life-threatening pneumonia that kills one in 10 people infected with it.

The published report not only offers a first step in the development of new antibiotics for Legionella , but has the potential to aid in the fight against antibiotic resistance, says senior author Tamara O'Connor , assistant professor of biological chemistry at Johns Hopkins University School of Medicine.

Shin reached out to O'Connor in the spring of 2019, beginning a summer internship with the professor that he hoped would uncover a novel antimicrobial property of honey.

"Carson showed tremendous initiative and was very inquisitive," O'Connor says. "It's exciting to have any student join the lab who demonstrates this level of intellectual engagement in science."

Initially, Shin and O'Connor exposed Legionella to raw, unpasteurized honey, to test whether the natural substance could kill the bacteria. Surprisingly, honey had little effect on Legionella . However, in the course of these experiments, they identified several different bacteria in the honey that, in response to Legionella , produced and secreted antibiotics that were lethal to the pathogen.

"We found the right conditions for the honey bacteria to thrive, allowing us to tap into a resource we didn't know was there," Shin says.

In nature, O'Connor says, "bacteria figure out ways to outcompete one another, which often involves releasing toxic molecules that kill their competitors." The honey bacteria Shin and O'Connor isolated "recognize Legionella as competition and launch a deadly response."

The honey bacteria were identified as members of the Bacillus and Lysinibacillus genera of bacteria. This is not surprising, O'Connor says, because bacilli produce spores that are protected from the antimicrobial properties of honey. These bacteria are commonly found in raw honey, explaining why it is recommended to eat only pasteurized honey, she says.

Upon sequencing the genomes of two of the bacterial isolates, strain AHB2 and strain AHB11 , the researchers identified them as members of the species Bacillus safensis . Previously, the ability for this group of bacteria to produce antibacterial molecules was not well-documented.

Further experiments revealed how specific the response of honey bacteria to Legionella was.

"Remarkably, the bacteria in honey only produce these antibacterial molecules in response to Legionella species, as none of the other bacterial pathogens we exposed them to elicited this response," O'Connor says.

Image caption: Tamara O'Connor

While other pathogens did not cause honey bacteria to produce these antibiotics, many were susceptible to them, O'Connor says. These results suggest antibacterial molecules produced by honey could target other harmful pathogens and could be used as broad-spectrum antibiotics. While these preliminary findings offer the identification of new antibacterial molecules, more research is needed to determine their potential for developing viable therapeutics, O'Connor says.

Antimicrobial resistance is one of the largest threats to global public health, contributing to nearly 5 million deaths in 2019, according to the World Health Organization—creating a dire need for the development of new antibiotics to treat bacterial infections.

Similar studies of the biowarfare between microorganisms have led scientists to identify many antimicrobial molecules, says O'Connor. The vast majority of antibiotics prescribed by physicians originate from natural products, she says.

"The ability to tap into these resources by identifying new bacteria and the conditions that cause them to produce antibacterial molecules is critical in the fight against antibiotic resistance," she says.

Young scientists like Shin are crucial to combat antibiotic resistance, O'Connor says.

"Carson exemplifies how the curiosity of an aspiring young scientist can lead to exciting new discoveries," she says.

Shin, who is beginning his senior year of college this fall at the University of Pennsylvania, said his experience at Johns Hopkins influenced his decision to study anthropology. Before reaching out to O'Connor, Shin had looked into raw honey's historic and ancient role in traditional medicines of the Egyptians, Greeks, and Islamic countries over thousands of years.

"Our research stems from studying culture. You can learn valuable information about medicine from cultures across the world and across time," Shin says.

The research was supported independently by the Department of Biological Chemistry and the Johns Hopkins University School of Medicine .

Posted in Health

Tagged antibiotics , department of biological chemistry , bacteria

You might also like

News network.

• Johns Hopkins Magazine
• Get Email Updates
• Submit an Announcement
• Submit an Event
• Privacy Statement
• Accessibility

Discover JHU

• About the University
• Schools & Divisions
• Academic Programs
• Plan a Visit
• my.JohnsHopkins.edu
• © 2024 Johns Hopkins University . All rights reserved.
• University Communications
• 3910 Keswick Rd., Suite N2600, Baltimore, MD
• X Facebook LinkedIn YouTube Instagram