example of proposed research design

• How it works

How to Write a Research Design – Guide with Examples

Published by Alaxendra Bets at August 14th, 2021 , Revised On October 3, 2023

A research design is a structure that combines different components of research. It involves the use of different data collection and data analysis techniques logically to answer the  research questions .

It would be best to make some decisions about addressing the research questions adequately before starting the research process, which is achieved with the help of the research design.

Below are the key aspects of the decision-making process:

• Data type required for research
• Research resources
• Participants required for research
• Hypothesis based upon research question(s)
• Data analysis  methodologies
• Variables (Independent, dependent, and confounding)
• The location and timescale for conducting the data
• The time period required for research

The research design provides the strategy of investigation for your project. Furthermore, it defines the parameters and criteria to compile the data to evaluate results and conclude.

Your project’s validity depends on the data collection and  interpretation techniques.  A strong research design reflects a strong  dissertation , scientific paper, or research proposal .

Step 1: Establish Priorities for Research Design

Before conducting any research study, you must address an important question: “how to create a research design.”

The research design depends on the researcher’s priorities and choices because every research has different priorities. For a complex research study involving multiple methods, you may choose to have more than one research design.

Multimethodology or multimethod research includes using more than one data collection method or research in a research study or set of related studies.

If one research design is weak in one area, then another research design can cover that weakness. For instance, a  dissertation analyzing different situations or cases will have more than one research design.

For example:

• Experimental research involves experimental investigation and laboratory experience, but it does not accurately investigate the real world.
• Quantitative research is good for the  statistical part of the project, but it may not provide an in-depth understanding of the  topic .
• Also, correlational research will not provide experimental results because it is a technique that assesses the statistical relationship between two variables.

While scientific considerations are a fundamental aspect of the research design, It is equally important that the researcher think practically before deciding on its structure. Here are some questions that you should think of;

• Do you have enough time to gather data and complete the write-up?
• Will you be able to collect the necessary data by interviewing a specific person or visiting a specific location?
• Do you have in-depth knowledge about the  different statistical analysis and data collection techniques to address the research questions  or test the  hypothesis ?

If you think that the chosen research design cannot answer the research questions properly, you can refine your research questions to gain better insight.

Step 2: Data Type you Need for Research

Decide on the type of data you need for your research. The type of data you need to collect depends on your research questions or research hypothesis. Two types of research data can be used to answer the research questions:

Primary Data Vs. Secondary Data

Qualitative Vs. Quantitative Data

Also, see; Research methods, design, and analysis .

Need help with a thesis chapter?

• Hire an expert from ResearchProspect today!
• Statistical analysis, research methodology, discussion of the results or conclusion – our experts can help you no matter how complex the requirements are.

Step 3: Data Collection Techniques

Once you have selected the type of research to answer your research question, you need to decide where and how to collect the data.

It is time to determine your research method to address the  research problem . Research methods involve procedures, techniques, materials, and tools used for the study.

For instance, a dissertation research design includes the different resources and data collection techniques and helps establish your  dissertation’s structure .

The following table shows the characteristics of the most popularly employed research methods.

Research Methods

Step 4: Procedure of Data Analysis

Use of the  correct data and statistical analysis technique is necessary for the validity of your research. Therefore, you need to be certain about the data type that would best address the research problem. Choosing an appropriate analysis method is the final step for the research design. It can be split into two main categories;

Quantitative Data Analysis

The quantitative data analysis technique involves analyzing the numerical data with the help of different applications such as; SPSS, STATA, Excel, origin lab, etc.

This data analysis strategy tests different variables such as spectrum, frequencies, averages, and more. The research question and the hypothesis must be established to identify the variables for testing.

Qualitative Data Analysis

Qualitative data analysis of figures, themes, and words allows for flexibility and the researcher’s subjective opinions. This means that the researcher’s primary focus will be interpreting patterns, tendencies, and accounts and understanding the implications and social framework.

You should be clear about your research objectives before starting to analyze the data. For example, you should ask yourself whether you need to explain respondents’ experiences and insights or do you also need to evaluate their responses with reference to a certain social framework.

Step 5: Write your Research Proposal

The research design is an important component of a research proposal because it plans the project’s execution. You can share it with the supervisor, who would evaluate the feasibility and capacity of the results  and  conclusion .

Read our guidelines to write a research proposal  if you have already formulated your research design. The research proposal is written in the future tense because you are writing your proposal before conducting research.

The  research methodology  or research design, on the other hand, is generally written in the past tense.

How to Write a Research Design – Conclusion

A research design is the plan, structure, strategy of investigation conceived to answer the research question and test the hypothesis. The dissertation research design can be classified based on the type of data and the type of analysis.

Above mentioned five steps are the answer to how to write a research design. So, follow these steps to  formulate the perfect research design for your dissertation .

ResearchProspect writers have years of experience creating research designs that align with the dissertation’s aim and objectives. If you are struggling with your dissertation methodology chapter, you might want to look at our dissertation part-writing service.

Our dissertation writers can also help you with the full dissertation paper . No matter how urgent or complex your need may be, ResearchProspect can help. We also offer PhD level research paper writing services.

Frequently Asked Questions

What is research design.

Research design is a systematic plan that guides the research process, outlining the methodology and procedures for collecting and analysing data. It determines the structure of the study, ensuring the research question is answered effectively, reliably, and validly. It serves as the blueprint for the entire research project.

How to write a research design?

To write a research design, define your research question, identify the research method (qualitative, quantitative, or mixed), choose data collection techniques (e.g., surveys, interviews), determine the sample size and sampling method, outline data analysis procedures, and highlight potential limitations and ethical considerations for the study.

How to write the design section of a research paper?

In the design section of a research paper, describe the research methodology chosen and justify its selection. Outline the data collection methods, participants or samples, instruments used, and procedures followed. Detail any experimental controls, if applicable. Ensure clarity and precision to enable replication of the study by other researchers.

How to write a research design in methodology?

To write a research design in methodology, clearly outline the research strategy (e.g., experimental, survey, case study). Describe the sampling technique, participants, and data collection methods. Detail the procedures for data collection and analysis. Justify choices by linking them to research objectives, addressing reliability and validity.

You May Also Like

Not sure how to approach a company for your primary research study? Don’t worry. Here we have some tips for you to successfully gather primary study.

How to write a hypothesis for dissertation,? A hypothesis is a statement that can be tested with the help of experimental or theoretical research.

Find how to write research questions with the mentioned steps required for a perfect research question. Choose an interesting topic and begin your research.

USEFUL LINKS

LEARNING RESOURCES

COMPANY DETAILS

• How It Works

Have a language expert improve your writing

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

• Knowledge Base
• Starting the research process
• How to Write a Research Proposal | Examples & Templates

How to Write a Research Proposal | Examples & Templates

Published on October 12, 2022 by Shona McCombes and Tegan George. Revised on November 21, 2023.

A research proposal describes what you will investigate, why it’s important, and how you will conduct your research.

The format of a research proposal varies between fields, but most proposals will contain at least these elements:

Introduction

Literature review.

• Research design

Reference list

While the sections may vary, the overall objective is always the same. A research proposal serves as a blueprint and guide for your research plan, helping you get organized and feel confident in the path forward you choose to take.

Table of contents

Research proposal purpose, research proposal examples, research design and methods, contribution to knowledge, research schedule, other interesting articles, frequently asked questions about research proposals.

Academics often have to write research proposals to get funding for their projects. As a student, you might have to write a research proposal as part of a grad school application , or prior to starting your thesis or dissertation .

In addition to helping you figure out what your research can look like, a proposal can also serve to demonstrate why your project is worth pursuing to a funder, educational institution, or supervisor.

Research proposal length

The length of a research proposal can vary quite a bit. A bachelor’s or master’s thesis proposal can be just a few pages, while proposals for PhD dissertations or research funding are usually much longer and more detailed. Your supervisor can help you determine the best length for your work.

One trick to get started is to think of your proposal’s structure as a shorter version of your thesis or dissertation , only without the results , conclusion and discussion sections.

Download our research proposal template

Here's why students love Scribbr's proofreading services

Discover proofreading & editing

Writing a research proposal can be quite challenging, but a good starting point could be to look at some examples. We’ve included a few for you below.

• Example research proposal #1: “A Conceptual Framework for Scheduling Constraint Management”
• Example research proposal #2: “Medical Students as Mediators of Change in Tobacco Use”

Like your dissertation or thesis, the proposal will usually have a title page that includes:

• The proposed title of your project
• Your supervisor’s name
• Your institution and department

The first part of your proposal is the initial pitch for your project. Make sure it succinctly explains what you want to do and why.

Your introduction should:

• Introduce your topic
• Give necessary background and context
• Outline your  problem statement  and research questions

To guide your introduction , include information about:

• Who could have an interest in the topic (e.g., scientists, policymakers)
• How much is already known about the topic
• What is missing from this current knowledge
• What new insights your research will contribute
• Why you believe this research is worth doing

As you get started, it’s important to demonstrate that you’re familiar with the most important research on your topic. A strong literature review  shows your reader that your project has a solid foundation in existing knowledge or theory. It also shows that you’re not simply repeating what other people have already done or said, but rather using existing research as a jumping-off point for your own.

In this section, share exactly how your project will contribute to ongoing conversations in the field by:

• Comparing and contrasting the main theories, methods, and debates
• Examining the strengths and weaknesses of different approaches
• Explaining how will you build on, challenge, or synthesize prior scholarship

Following the literature review, restate your main  objectives . This brings the focus back to your own project. Next, your research design or methodology section will describe your overall approach, and the practical steps you will take to answer your research questions.

To finish your proposal on a strong note, explore the potential implications of your research for your field. Emphasize again what you aim to contribute and why it matters.

For example, your results might have implications for:

• Improving best practices
• Informing policymaking decisions
• Strengthening a theory or model
• Challenging popular or scientific beliefs
• Creating a basis for future research

Last but not least, your research proposal must include correct citations for every source you have used, compiled in a reference list . To create citations quickly and easily, you can use our free APA citation generator .

Some institutions or funders require a detailed timeline of the project, asking you to forecast what you will do at each stage and how long it may take. While not always required, be sure to check the requirements of your project.

Here’s an example schedule to help you get started. You can also download a template at the button below.

Download our research schedule template

If you are applying for research funding, chances are you will have to include a detailed budget. This shows your estimates of how much each part of your project will cost.

Make sure to check what type of costs the funding body will agree to cover. For each item, include:

• Cost : exactly how much money do you need?
• Justification : why is this cost necessary to complete the research?
• Source : how did you calculate the amount?

To determine your budget, think about:

• Travel costs : do you need to go somewhere to collect your data? How will you get there, and how much time will you need? What will you do there (e.g., interviews, archival research)?
• Materials : do you need access to any tools or technologies?
• Help : do you need to hire any research assistants for the project? What will they do, and how much will you pay them?

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

Methodology

• Sampling methods
• Simple random sampling
• Stratified sampling
• Cluster sampling
• Likert scales
• Reproducibility

 Statistics

• Null hypothesis
• Statistical power
• Probability distribution
• Effect size
• Poisson distribution

Research bias

• Optimism bias
• Cognitive bias
• Implicit bias
• Hawthorne effect
• Anchoring bias
• Explicit bias

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

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

I will compare …

A research aim is a broad statement indicating the general purpose of your research project. It should appear in your introduction at the end of your problem statement , before your research objectives.

Research objectives are more specific than your research aim. They indicate the specific ways you’ll address the overarching aim.

A PhD, which is short for philosophiae doctor (doctor of philosophy in Latin), is the highest university degree that can be obtained. In a PhD, students spend 3–5 years writing a dissertation , which aims to make a significant, original contribution to current knowledge.

A PhD is intended to prepare students for a career as a researcher, whether that be in academia, the public sector, or the private sector.

A master’s is a 1- or 2-year graduate degree that can prepare you for a variety of careers.

All master’s involve graduate-level coursework. Some are research-intensive and intend to prepare students for further study in a PhD; these usually require their students to write a master’s thesis . Others focus on professional training for a specific career.

Critical thinking refers to the ability to evaluate information and to be aware of biases or assumptions, including your own.

Like information literacy , it involves evaluating arguments, identifying and solving problems in an objective and systematic way, and clearly communicating your ideas.

The best way to remember the difference between a research plan and a research proposal is that they have fundamentally different audiences. A research plan helps you, the researcher, organize your thoughts. On the other hand, a dissertation proposal or research proposal aims to convince others (e.g., a supervisor, a funding body, or a dissertation committee) that your research topic is relevant and worthy of being conducted.

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. & George, T. (2023, November 21). How to Write a Research Proposal | Examples & Templates. Scribbr. Retrieved June 18, 2024, from https://www.scribbr.com/research-process/research-proposal/

Is this article helpful?

Shona McCombes

Other students also liked, how to write a problem statement | guide & examples, writing strong research questions | criteria & examples, how to write a literature review | guide, examples, & templates, get unlimited documents corrected.

✔ Free APA citation check included ✔ Unlimited document corrections ✔ Specialized in correcting academic texts

Research Proposal: A step-by-step guide with template

Making sure your proposal is perfect will drastically improve your chances of landing a successful research position. Follow these steps.

There’s no doubt you have the most cutting-edge research idea to date, backed up by a solid methodology and a credible explanation proving its relevance! There are thousands of research ideas that could change the world with many new ideologies.

The truth is, none of this would matter without support. It can be daunting, challenging, and uncertain to secure funding for a research project. Even more so when it isn’t well-thought-out, outlined, and includes every detail.

An effective solution for presenting your project, or requesting funding, is to provide a research proposal to potential investors or financiers on your behalf.

It’s crucial to understand that making sure your proposal is perfect will drastically improve your chances of landing a successful research position. Your research proposal could result in the failure to study the research problem entirely if it is inadequately constructed or incomplete.

It is for this reason that we have created an excellent guide that covers everything you need to know about writing a research proposal, and includes helpful tips for presenting your proposal professionally and improving its likelihood of acceptance!

What Is a Research Proposal?

Generally, a research proposal is a well-crafted, formal document that provides a thorough explanation of what you plan to investigate. This includes a rationale for why it is worth investigating, as well as a method for investigating it.

Research proposal writing in the contemporary academic environment is a challenging undertaking given the constant shift in research methodology and a commitment to incorporating scientific breakthroughs.

An outline of the plan or roadmap for the study is the proposal, and once the proposal is complete, everything should be smooth sailing. It is still common for post-graduate evaluation panels and funding applications to submit substandard proposals.

By its very nature, the research proposal serves as a tool for convincing the supervisor, committee, or university that the proposed research fits within the scope of the program and is feasible when considering the time and resources available.

A research proposal should convince the person who is going to sanction your research, or put another way, you need to persuade them that your research idea is the best.

Obviously, if it does not convince them that it is reasonable and adequate, you will need to revise and submit it again. As a result, you will lose significant time, causing your research to be delayed or cut short, which is not good.

A good research proposal should have the following structure

A dissertation or thesis research proposal may take on a variety of forms depending on the university, but  most generally a research proposal will include the following elements:

• Titles or title pages that give a description of the research
• Detailed explanation of the proposed research and its background
• Outline of the research project
• An overview of key research studies in the field
• Description the proposed research design (approach)

So, if you include all these elements, you will have a general outline. Let’s take a closer look at how to write them and what to include in each element so that the research proposal is as robust as the idea itself.

A step-by-step guide to writing a research proposal

#1 introduction.

Researchers who wish to obtain grant funding for a project often write a proposal when seeking funding for a research-based postgraduate degree program, or in order to obtain approval for completing a thesis or PhD. Even though this is only a brief introduction, we should be considering it the beginning of an insightful discussion about the significance of a topic that deserves attention.

Your readers should understand what you are trying to accomplish after they read your introduction. Additionally, they should be able to perceive your zeal for the subject matter and a genuine interest in the possible outcome of the research.

As your introduction, consider answering these questions in three to four paragraphs:

• In what way does the study address its primary issue?
• Does that subject matter fall under the domain of that field of study?
• In order to investigate that problem, what method should be used?
• What is the importance of this study?
• How does it impact academia and society overall?
• What are the potential implications of the proposed research for someone reviewing the proposal?

It is not necessary to include an abstract or summary for the introduction to most academic departments and funding sources. Nevertheless, you should confirm your institution’s requirements.

#2 Background and importance

An explanation of the rationale for a research proposal and its significance is provided in this section. It is preferable to separate this part from the introduction so that the narrative flows seamlessly.

This section should be approached by presuming readers are time-pressed but want a general overview of the whole study and the research question.

Please keep in mind that this isn’t an exhaustive essay that contains every detail of your proposed research, rather a concise document that will spark interest in your proposal.

While you should try to take into account the following factors when framing the significance of your proposed study, there are no rigid rules.

• Provide a detailed explanation of the purpose and problem of the study. Multidimensional or interdisciplinary research problems often require this.
• Outline the purpose of your proposed research and describe the advantages of carrying out the study.
• Outline the major issues or problems to be discussed. These might come in the form of questions or comments.
• Be sure to highlight how your research contributes to existing theories that relate to the problem of the study.
• Describe how your study will be conducted, including the source of data and the method of analysis.
• To provide a sense of direction for your study, define the scope of your proposal.
• Defining key concepts or terms, if necessary, is recommended.

The steps to a perfect research proposal all get more specific as we move forward to enhance the concept of the research. In this case, it will become important to make sure that your supervisor or your funder has a clear understanding of every aspect of your research study.

#3 Reviewing prior literature and studies

The aim of this paragraph is to establish the context and significance of your study, including a review of the current literature pertinent to it.

This part aims to properly situate your proposed study within the bigger scheme of things of what is being investigated, while, at the same time, showing the innovation and originality of your proposed work.

When writing a literature review, it is imperative that your format is effective because it often contains extensive information that allows you to demonstrate your main research claims compared to other scholars.

Separating the literature according to major categories or conceptual frameworks is an excellent way to do this. This is a more effective method than listing each study one by one in chronological order.

In order to arrange the review of existing relevant studies in an efficient manner, a literature review is often written using the following five criteria:

• Be sure to cite your previous studies to ensure the focus remains on the research question. For more information, please refer to our guide on how to write a research paper .
• Study the literature’s methods, results, hypotheses, and conclusions. Recognize the authors’ differing perspectives.
• Compare and contrast the various themes, arguments, methodologies, and perspectives discussed in the literature. Explain the most prominent points of disagreement.
• Evaluate the literature. Identify persuasive arguments offered by scholars. Choose the most reliable, valid, and suitable methodologies.
• Consider how the literature relates to your area of research and your topic. Examine whether your proposal for investigation reflects existing literature, deviates from existing literature, synthesizes or adds to it in some way.

#4 Research questions and objectives

The next step is to develop your research objectives once you have determined your research focus.

When your readers read your proposal, what do you want them to learn? Try to write your objectives in one sentence, if you can. Put time and thought into framing them properly.

By setting an objective for your research, you’ll stay on track and avoid getting sidetracked.

Any study proposal should address the following questions irrespective of the topic or problem:

• What are you hoping to accomplish from the study? When describing the study topic and your research question, be concise and to the point.
• What is the purpose of the research? A compelling argument must also be offered to support your choice of topic.
• What research methods will you use? It is essential to outline a clear, logical strategy for completing your study and make sure that it is doable.

Some authors include this section in the introduction, where it is generally placed at the end of the section.

#5 Research Design and Methods

It is important to write this part correctly and organize logically even though you are not starting the research yet.  This must leave readers with a sense of assurance that the topic is worthwhile.

To achieve this, you must convince your reader that your research design and procedures will adequately address the study’s problems. Additionally, it seeks to ensure that the employed methods are capable of interpreting the likely study results efficiently.

You should design your research in a way that is directly related to your objectives.

Exemplifying your study design using examples from your literature review, you are setting up your study design effectively. You should follow other researchers’ good practices.

Pay attention to the methods you will use to collect data, the analyses you will perform, as well as your methods of measuring the validity of your results.

If you describe the methods you will use, make sure you include the following points:

• Develop a plan for conducting your research, as well as how you intend to interpret the findings based on the study’s objectives.
• When describing your objectives with the selected techniques, it is important to also elaborate on your plans.
• This section does not only present a list of events. Once you have chosen the strategy, make sure to explain why it is a good way to analyse your study question. Provide clear explanations.
• Last but not least, plan ahead to overcome any challenges you might encounter during the implementation of your research design.

In the event that you closely follow the best practices outlined in relevant studies as well as justify your selection, you will be prepared to address any questions or concerns you may encounter.

We have an amazing article that will give you everything you need to know about research design .

#6 Knowledge Contribution and Relevance

In this section, you describe your theory about how your study will contribute to, expand, or alter knowledge about the topic of your study.

You should discuss the implications of your research on future studies, applications, concepts, decisions, and procedures. It is common to address the study findings from a conceptual, analytical, or scientific perspective.

If you are framing your proposal of research, these guide questions may help you:

• How could the results be interpreted in the context of contesting the premises of the study?
• Could the expected study results lead to proposals for further research?
• Is your proposed research going to benefit people in any way?
• Is the outcome going to affect individuals in their work setting?
• In what ways will the suggested study impact or enhance the quality of life?
• Are the study’s results going to have an impact on intervention forms, techniques, or policies?
• What potential commercial, societal, or other benefits could be derived from the outcomes?
• Policy decisions will be influenced by the outcomes?
• Upon implementation, could they bring about new insights or breakthroughs?

Throughout this section, you will identify unsolved questions or research gaps in the existing literature. If the study is conducted as proposed, it is important to indicate how the research will be instrumental in understanding the nature of the research problem.

#7 Adherence to the Ethical Principles

In terms of scientific writing style, no particular style is generally acknowledged as more or less effective. The purpose is simply to provide relevant content that is formatted in a standardized way to enhance communication.

There are a variety of publication styles among different scholarly disciplines. It is therefore essential to follow the protocol according to the institution or organization that you are targeting.

All scholarly research and writing is, however, guided by codes of ethical conduct. The purpose of ethical guidelines, if they are followed, is to accomplish three things:

1) Preserve intellectual property right;

2) Ensure the rights and welfare of research participants;

3) Maintain the accuracy of scientific knowledge.

Scholars and writers who follow these ideals adhere to long-standing standards within their professional groups.

An additional ethical principle of the APA stresses the importance of maintaining scientific validity. An observation is at the heart of the standard scientific method, and it is verifiable and repeatable by others.

It is expected that scholars will not falsify or fabricate data in research writing. Researchers must also refrain from altering their studies’ outcomes to support a particular theory or to exclude inconclusive data from their report in an effort to create a convincing one.

#8 The budget

The need for detailed budgetary planning is not required by all universities when studying historical material or academic literature, though some do require it. In the case of a research grant application, you will likely have to include a comprehensive budget that breaks down the costs of each major component.

Ensure that the funding program or organization will cover the required costs, and include only the necessary items. For each of the items, you should include the following.

• To complete the study in its entirety, how much money would you require?
• Discuss the rationale for such a budget item for the purpose of completing research.
• The source of the amount – describe how it was determined.

When doing a study, you cannot buy ingredients the way you normally would. With so many items not having a price tag, how can you make a budget? Take the following into consideration:

• Does your project require access to any software programs or solutions? Do you need to install or train a technology tool?
• How much time will you be spending on your research study? Are you required to take time off from work to do your research?
• Are you going to need to travel to certain locations to meet with respondents or to collect data? At what cost?
• Will you be seeking research assistants for the study you propose? In what capacity and for what compensation? What other aspects are you planning to outsource?

It is possible to calculate a budget while also being able to estimate how much more money you will need in the event of an emergency.

#9 Timeline

A realistic and concise research schedule is also important to keep in mind. You should be able to finish your plan of study within the allotted time period, such as your degree program or the academic calendar.

You should include a timeline that includes a series of objectives you must complete to meet all the requirements for your scholarly research. The process starts with preliminary research and ends with final editing. A completion date for every step is required.

In addition, one should state the development that has been made. It is also recommended to include other relevant research events, for instance paper or poster presentations . In addition, a researcher must update the timeline regularly, as necessary, since this is not a static document.

#10 A Concluding Statement

Presenting a few of the anticipated results of your research proposal is an effective way to conclude your proposal.

The final stage of the process requires you to reveal the conclusion and rationale you anticipate reaching. Considering the research you have done so far, your reader knows that these are anticipated results, which are likely to evolve once the whole study is completed.

In any case, you must let the supervisors or sponsors know what implications may be drawn. It will be easier for them to assess the reliability and relevance of your research.

It will also demonstrate your meticulousness since you will have anticipated and taken into consideration the potential consequences of your research.

The Appendix section is required by some funding sources and academic institutions. This is extra information that is not in the main argument of the proposal, but appears to enhance the points made.

For example, data in the form of tables, consent forms, clinical/research guidelines, and procedures for data collection may be included in this document.

Research Proposal Template

Now that you know all about each element that composes an ideal research proposal, here is an extra help: a ready to use research proposal example. Just hit the button below, make a copy of the document and start working!

Avoid these common mistakes

In an era when rejection rates for prestigious journals can reach as high as 90 percent, you must avoid the following common mistakes when submitting a proposal:

• Proposals that are too long. Stay to the point when you write research proposals. Make your document concise and specific. Be sure not to diverge into off-topic discussions.
• Taking up too much research time. Many students struggle to delineate the context of their studies, regardless of the topic, time, or location. In order to explain the methodology of the study clearly to the reader, the proposal must clearly state what the study will focus on.
• Leaving out significant works from a literature review. Though everything in the proposal should be kept at a minimum, key research studies must need to be included. To understand the scope and growth of the issue, proposals should be based on significant studies.
• Major topics are too rarely discussed, and too much attention is paid to minor details. To persuasively argue for a study, a proposal should focus on just a few key research questions. Minor details should be noted, but should not overshadow the thesis.
• The proposal does not have a compelling and well-supported argument. To prove that a study should be approved or funded, the research proposal must outline its purpose.
• A typographical error, bad grammar or sloppy writing style. Even though a research proposal outlines a part of a larger project, it must conform to academic writing standards and guidelines.

A final note

We have come to the end of our research proposal guide. We really hope that you have found all the information you need. Wishing you success with the research study.

We at Mind the Graph create high quality illustrative graphics for research papers and posters to beautify your work. Check us out here .

Subscribe to our newsletter

Exclusive high quality content about effective visual communication in science.

About Fabricio Pamplona

Fabricio Pamplona is the founder of Mind the Graph - a tool used by over 400K users in 60 countries. He has a Ph.D. and solid scientific background in Psychopharmacology and experience as a Guest Researcher at the Max Planck Institute of Psychiatry (Germany) and Researcher in D'Or Institute for Research and Education (IDOR, Brazil). Fabricio holds over 2500 citations in Google Scholar. He has 10 years of experience in small innovative businesses, with relevant experience in product design and innovation management. Connect with him on LinkedIn - Fabricio Pamplona .

Content tags

Have a language expert improve your writing

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

• Knowledge Base
• Research process
• How to Write a Research Proposal | Examples & Templates

How to Write a Research Proposal | Examples & Templates

Published on 30 October 2022 by Shona McCombes and Tegan George. Revised on 13 June 2023.

A research proposal describes what you will investigate, why it’s important, and how you will conduct your research.

The format of a research proposal varies between fields, but most proposals will contain at least these elements:

Introduction

Literature review.

• Research design

Reference list

While the sections may vary, the overall objective is always the same. A research proposal serves as a blueprint and guide for your research plan, helping you get organised and feel confident in the path forward you choose to take.

Table of contents

Research proposal purpose, research proposal examples, research design and methods, contribution to knowledge, research schedule, frequently asked questions.

Academics often have to write research proposals to get funding for their projects. As a student, you might have to write a research proposal as part of a grad school application , or prior to starting your thesis or dissertation .

In addition to helping you figure out what your research can look like, a proposal can also serve to demonstrate why your project is worth pursuing to a funder, educational institution, or supervisor.

Research proposal length

The length of a research proposal can vary quite a bit. A bachelor’s or master’s thesis proposal can be just a few pages, while proposals for PhD dissertations or research funding are usually much longer and more detailed. Your supervisor can help you determine the best length for your work.

One trick to get started is to think of your proposal’s structure as a shorter version of your thesis or dissertation , only without the results , conclusion and discussion sections.

Download our research proposal template

Prevent plagiarism, run a free check.

Writing a research proposal can be quite challenging, but a good starting point could be to look at some examples. We’ve included a few for you below.

• Example research proposal #1: ‘A Conceptual Framework for Scheduling Constraint Management’
• Example research proposal #2: ‘ Medical Students as Mediators of Change in Tobacco Use’

Like your dissertation or thesis, the proposal will usually have a title page that includes:

• The proposed title of your project
• Your supervisor’s name
• Your institution and department

The first part of your proposal is the initial pitch for your project. Make sure it succinctly explains what you want to do and why.

Your introduction should:

• Introduce your topic
• Give necessary background and context
• Outline your  problem statement  and research questions

To guide your introduction , include information about:

• Who could have an interest in the topic (e.g., scientists, policymakers)
• How much is already known about the topic
• What is missing from this current knowledge
• What new insights your research will contribute
• Why you believe this research is worth doing

As you get started, it’s important to demonstrate that you’re familiar with the most important research on your topic. A strong literature review  shows your reader that your project has a solid foundation in existing knowledge or theory. It also shows that you’re not simply repeating what other people have already done or said, but rather using existing research as a jumping-off point for your own.

In this section, share exactly how your project will contribute to ongoing conversations in the field by:

• Comparing and contrasting the main theories, methods, and debates
• Examining the strengths and weaknesses of different approaches
• Explaining how will you build on, challenge, or synthesise prior scholarship

Following the literature review, restate your main  objectives . This brings the focus back to your own project. Next, your research design or methodology section will describe your overall approach, and the practical steps you will take to answer your research questions.

To finish your proposal on a strong note, explore the potential implications of your research for your field. Emphasise again what you aim to contribute and why it matters.

For example, your results might have implications for:

• Improving best practices
• Informing policymaking decisions
• Strengthening a theory or model
• Challenging popular or scientific beliefs
• Creating a basis for future research

Last but not least, your research proposal must include correct citations for every source you have used, compiled in a reference list . To create citations quickly and easily, you can use our free APA citation generator .

Some institutions or funders require a detailed timeline of the project, asking you to forecast what you will do at each stage and how long it may take. While not always required, be sure to check the requirements of your project.

Here’s an example schedule to help you get started. You can also download a template at the button below.

Download our research schedule template

If you are applying for research funding, chances are you will have to include a detailed budget. This shows your estimates of how much each part of your project will cost.

Make sure to check what type of costs the funding body will agree to cover. For each item, include:

• Cost : exactly how much money do you need?
• Justification : why is this cost necessary to complete the research?
• Source : how did you calculate the amount?

To determine your budget, think about:

• Travel costs : do you need to go somewhere to collect your data? How will you get there, and how much time will you need? What will you do there (e.g., interviews, archival research)?
• Materials : do you need access to any tools or technologies?
• Help : do you need to hire any research assistants for the project? What will they do, and how much will you pay them?

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

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

I will compare …

A research aim is a broad statement indicating the general purpose of your research project. It should appear in your introduction at the end of your problem statement , before your research objectives.

Research objectives are more specific than your research aim. They indicate the specific ways you’ll address the overarching aim.

A PhD, which is short for philosophiae doctor (doctor of philosophy in Latin), is the highest university degree that can be obtained. In a PhD, students spend 3–5 years writing a dissertation , which aims to make a significant, original contribution to current knowledge.

A PhD is intended to prepare students for a career as a researcher, whether that be in academia, the public sector, or the private sector.

A master’s is a 1- or 2-year graduate degree that can prepare you for a variety of careers.

All master’s involve graduate-level coursework. Some are research-intensive and intend to prepare students for further study in a PhD; these usually require their students to write a master’s thesis . Others focus on professional training for a specific career.

Critical thinking refers to the ability to evaluate information and to be aware of biases or assumptions, including your own.

Like information literacy , it involves evaluating arguments, identifying and solving problems in an objective and systematic way, and clearly communicating your ideas.

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. & George, T. (2023, June 13). How to Write a Research Proposal | Examples & Templates. Scribbr. Retrieved 18 June 2024, from https://www.scribbr.co.uk/the-research-process/research-proposal-explained/

Is this article helpful?

Shona McCombes

Other students also liked, what is a research methodology | steps & tips, what is a literature review | guide, template, & examples, how to write a results section | tips & examples.

• Design for Business
• Most Recent
• Presentations
• Infographics
• Data Visualizations
• Forms and Surveys
• Video & Animation
• Case Studies
• Digital Marketing
• Design Inspiration
• Visual Thinking
• Product Updates
• Visme Webinars
• Artificial Intelligence

8 Research Proposal Examples & Template to Use

Written by: Raja Mandal

So you have a groundbreaking research idea you've spent months or even years developing, and now you're ready to take the next step.

How do you get funding for your research, and how should you approach potential funders? The answer is to create a convincing research proposal.

Unfortunately, most research proposals often get rejected. According to the European Research Council, the success rate for repeat proposal applications was only 14.8% in 2023 .

Pitching a novel research concept isn’t enough. To increase your chances of securing funding, your research proposal must check the right boxes in terms of clarity, feasibility, aesthetic appeal and other factors.

If you’re looking for inspiration to create a persuasive and feasible proposal, you’re in the right place. In this article, we have compiled a list of research proposal examples to help you create yours.

These examples will help you understand how to organize your proposal, what information to include and how to present it in a way that encourages others to support your project.

Let's dive in!

Table of Contents

What is a research proposal, what to include in a research proposal, 8 research proposal examples & templates, research proposal faqs.

• A research proposal is a document that outlines your proposed research project, explaining what you plan to study, why it's important and how you will conduct your research.
• A well-structured research proposal includes a title page, abstract and table of contents, introduction, literature review, research design and methodology, contribution to knowledge, research schedule, timeline and budget.
• Visme's research proposal examples and templates offer a great starting point for creating engaging and well-structured proposals.
• Choose a template from Visme's research proposal examples and customize it to fit your needs.
• With Visme’s proposal maker , you can create a research proposal that stands out. Access a drag-and-drop editor and advanced features like AI tools , collaboration features, brand wizard and more.

A research proposal is a structured document that outlines the core idea of your research, the methods you intend to use, the required resources and the expected results.

Think of it as a sales pitch for your research. It answers some big questions: What are you planning to explore? Why is it important to conduct the research? What are your research objectives and the methods you’ll use to achieve them? What are the potential outcomes or contributions of this research to the field?

A research proposal serves two primary purposes. First, it convinces funding bodies or academic committees to support your research project expected to bring new ideas and insights. Second, it provides a roadmap for your research journey, helping you stay focused, organized and on track.

Now, we'll discuss what to include in a research proposal. You'll learn about the important parts of a research proposal template and how they help present your research idea clearly.

Here’s an infographic that you can use to understand the elements of a research proposal quickly.

1. Title Page

Start your research proposal with a title page that clearly states your research. The title page is like a book cover, giving the first impression of your project. Therefore, you must ensure the design is engaging enough to attract your audience at first glance.

Include the following details on your title page:

• Title of your research
• Contact Details
• Name of the department or organization
• Date of submission

2. Abstract and Table of Contents

After the title page comes the abstract and the table of contents.

The abstract is a concise summary of your project that briefly outlines your research question, the reasons behind the study and the methods you intend to use. It is a quick way for readers to understand your proposal without reading the entire document.

The table of contents is a detailed list of the sections and subsections in your proposal, with page numbers. It helps readers navigate through your document and quickly locate different parts they're interested in.

3. Introduction

The introduction of your research proposal sets the tone for the rest of the document. It should grab the reader's attention and make them want to learn more. It's your chance to make a strong case for why your research is worth investigating and how it can fill a gap in current knowledge or solve a specific problem.

Make sure that your introduction covers the following:

• Background Information: Set the stage with a brief snapshot of existing research and why your topic is relevant.
• Research Problem: Identify the specific problem or knowledge gap that your study will address.
• Research Questions or Hypotheses: Present the central question or hypothesis that guides your research focus.
• Aims and Objectives: Outline your research's main goal and the steps you'll take to achieve it.
• Significance and Contribution: Explain how your research will add value to the field and what impact it could have.

4. Literature Review

A literature review is a list of the scholarly works you used to conduct your research. It helps you demonstrate your current knowledge about the topic.

Here's how this part works:

• Summary of Sources: Talk about the main ideas or findings from your research materials and explain how they connect to your research questions.
• Finding Gaps: Show where the current research falls short or doesn't give the full picture—this is where your research comes in!
• Key Theories: Tell the readers about any theories or ways of thinking that help shape your research.
• Learning from Methods: Discuss what previous researchers worked on and how their methods might guide your research.
• Recognizing Authors and Studies: Honor the pioneers whose work has had a major influence on your topic.

5. Research Design and Methodology

This section outlines your plan for answering your research question. It explains how you intend to gather and analyze information, providing a clear roadmap of the investigation process.

Here are the key components:

Population and Sample

Describe the entire group you're interested in (the population). This could be all teachers in a specific state or all social media platform users. After that, you will need to explain how you will choose a smaller group, known as a sample, to study directly. This sample should be selected to accurately represent the larger population you are interested in studying.

To choose the right sampling method, you need to assess your population properly. For instance, to obtain general insights, you can use random sampling to select individuals without bias. If the population consists of different categories, such as professionals and students, you can use stratified sampling to ensure that each category is represented in the sample.

Other popular sampling methods include systematic, convenience, purposive, cluster, and probability sampling techniques.

Research Approach

There are three main approaches for the research: qualitative (focusing on experiences and themes), quantitative (using numbers and statistics), or mixed methods (combining both). Your choice will depend on your research question and the kind of data you need.

Data Collection

This section details the specific methods you'll use to gather information. Will you distribute surveys online or in person? Conduct interviews? Perhaps you'll use existing data sets. Here, you'll also explain how you'll ensure the data collection process is reliable and ethical.

Data Analysis

Once you have collected your data, the next step is to analyze it to obtain meaningful insights. The method you choose depends on the available data type.

If you have quantitative data, you can employ statistical tests to analyze it. And if you're dealing with qualitative data, coding techniques can help you spot patterns and themes in your collected data.

6. Contribution to Knowledge

In this section, you need to explain how your research will contribute to the existing knowledge in your field. You should describe whether your study will fill a knowledge gap, challenge conventional ideas or beliefs or offer a fresh perspective on a topic.

Clearly outline how your work will advance your field of study and why this new knowledge is essential.

7. Research Schedule and Timeline

Create a timeline with important milestones, such as finishing your literature review, completing data collection and finalizing your analysis.

This shows that you've carefully considered the scope of your project and can manage your time effectively. Furthermore, account for possible delays and be prepared to adapt your schedule accordingly.

To create this timeline, consider using a visual tool like a Gantt chart or a simple spreadsheet. These tools will help you organize individual tasks, assign deadlines, and visualize the project's overall progress.

Choose a Gantt chart template from Visme's library and customize it to create your timeline quickly. Here's an example template:

The budget section is your opportunity to show them that you've carefully considered all necessary expenses and that your funding request is justified.

Here's how you can approach this part:

• Understand the Rules: Before making calculations, thoroughly review the funding agency's guidelines. Pay attention to what types of expenses are allowed or excluded and whether there are any budget caps.
• Personnel: Salaries and benefits for yourself, research assistants, or collaborators.
• Equipment: Specialized tools, software, or lab supplies.
• Travel: Transportation, lodging and meals if data collection requires travel.
• Dissemination: Costs for publishing results or presenting at conferences.
• Provide Justifications: Don't just list a cost. Briefly explain why each expense is crucial for completing your research.
• Be Thorough and Realistic: Research prices for specific items using quotes or online comparisons. Don't underestimate expenses, as this can raise troubles about the project's feasibility.
• Don't Forget Contingencies: Include a small buffer (around 5% of your total budget) for unexpected costs that might arise.

Using these research proposal examples and templates, you can create a winning proposal in no time. You will find templates for various topics and customize every aspect of them to make them your own.

Visme’s drag-and-drop editor, advanced features and a vast library of templates help organizations and individuals worldwide create engaging documents.

Here’s what a research student who uses Visme to create award-winning presentations has to say about the tool:

Chantelle Clarke

Research Student

Now, let’s dive into the research proposal examples.

1. Research Proposal Presentation Template

This research proposal presentation template is a powerful tool for presenting your research plan to stakeholders. The slides include specific sections to help you outline your research, including the research background, questions, objectives, methodology and expected results.

The slides create a coherent narrative, highlighting the importance and significance of your research. Overall, the template has a calming and professional blue color scheme with text that enables your audience to grasp the key points.

If you need help creating your presentation slides in a fraction of the time, check out Visme's AI presentation maker . Enter your requirements using text prompts, and the AI tool will generate a complete presentation with engaging visuals, text and clear structure. You can further customize the template completely to your needs.

2. Sales Research Proposal Template

Sales research gives you a deeper understanding of their target audience. It also helps you identify gaps in the market and develop effective sales strategies that drive revenue growth. With this research proposal template, you can secure funding for your next research project.

It features a sleek and professional grayscale color palette with a classic and modern vibe. The high-quality images in the template are strategically placed to reinforce the message without overwhelming the reader. Furthermore, the template includes a vertical bar graph that effectively represents budget allocations, enabling the reader to quickly grasp the information.

Use Visme's interactive elements and animations to add a dynamic layer to your research proposals. You can animate any object and add pop-ups or link pages for a more immersive experience. Use these functionalities to highlight key findings, demonstrate trends or guide readers through your proposal, making the content engaging and interactive.

3. General Funding Research Proposal Template

This proposal template is a great tool for securing funding for any type of research project. It begins with a captivating title page that grabs attention. The beautiful design elements and vector icons enhance the aesthetic and aid visual communication.

This template revolves around how a specific user group adopts cryptocurrencies like Bitcoin and Ethereum. The goal is to assess awareness, gauge interest and understand key factors affecting cryptocurrency adoption.

The project methodology includes survey design, data collection, and market research. The expected impact is to enhance customer engagement and position the company as a customer-centric brand.

Do you need additional help crafting the perfect text for your proposal? Visme's AI writer can quickly generate content outlines, summaries and even entire sections. Just explain your requirements to the tool using a text prompt, and the tool will generate it for you.

4. Product Research Proposal Template

Creating a product that delights users begins with detailed product research. With this modern proposal template, you can secure buy-in and funding for your next research.

It starts with a background that explains why the research is important. Next, it highlights what the research is set to achieve, how the research will be conducted, how much it will cost, the timeline and the expected outcomes. With a striking color scheme combining black, yellow, and gray, the template grabs attention and maintains it until the last page.

What we love about this template is the smart use of visuals. You'll find a flowchart explaining the methodology, a bar graph for the budget, and a timeline for the project. But that’s just the tip of the iceberg regarding the visual elements you’ll find in Visme.

Visme offers data visualization tools with 30+ data widgets, such as radial gauges, population arrays, progress bars and more. These tools can help you turn complex data into engaging visuals for your research proposal or any other document.

For larger data sets, you can choose from 20+ types of charts and graphs , including bar graphs , bubble charts , Venn diagrams and more.

5. Tech Research Proposal Template

If you’re a tech researcher, we’ve got the perfect template for you. This research proposal example is about predictive analytics in e-commerce. However, you can customize it for any other type of research proposal.

It highlights the project's objectives, including the effectiveness of predictive analysis, the impact of product recommendations and supply chain optimization. The methods proposed for achieving these objectives involve A/B testing and data analysis, a comprehensive budget and a 12-month timeline for clear project planning.

The title page has a unique triptych-style layout that immediately catches the reader's attention. It has plenty of white space that enhances readability, allowing your audience to focus on the critical points.

Submitting to different funding agencies? You don’t have to manually make changes to your document. Visme's dynamic fields can help save time and eliminate repetitive data entry.

Create custom fields like project names, addresses, contact information and more. Any changes made to these fields will automatically populate throughout the document.

6. Marketing Research Proposal Template

Artificial intelligence (AI) is taking the world by storm and the marketing niche isn’t left out. With this eye-catching template, you can attract attention to your proposed marketing research project for an AI-driven platform.

The main goal of the research is to evaluate the platform's feasibility and marketing potential. To achieve this goal, the scope of work includes a comprehensive analysis of the market and competitors and pilot testing. The proposal also contains a budget overview that clearly outlines the allocation of funds, ensuring a well-planned and transparent approach.

Using Visme's Brand Design Tool , you can easily customize this template to suit your branding with just one click. Simply enter your URL into the brand wizard, and the tool will automatically extract your company logo, brand colors, and brand fonts . Once saved, you or your team members can apply the branding elements to any document. It's that simple!

7. Environmental Research Proposal Template

The environmental research proposal example focuses on carbon emissions, identifies their contributing factors, and suggests sustainable practices to address them. It uses an appropriate sample size and data collection techniques to gather and evaluate data and provide sustainable recommendations to reduce industrial carbon footprints and waste.

From a design standpoint, the green and white color combination matches the theme of nature and environmental friendliness. In addition to its aesthetic appeal, the proposal includes relevant images that support ecological advocacy, making it informative and visually aligned with its purpose.

A key feature of this template is its detailed breakdown of the project's timeline. It uses a Gantt chart to clearly present stages, milestones and deadlines.

Collaborate with your team members to customize these research proposal templates using Visme’s collaborative design features . These features allow you to leave feedback, draw annotations and even make live edits. Invite your teammates via email or a shareable link and allow them to work together on projects.

8. General Approval Research Proposal Template

This research proposal template is a total game-changer - you can use it for any research proposal and customize it however you want. It features a modern and refreshing color scheme that immediately makes it stand out, providing a contemporary look that can adapt to any project's needs.

The template's layout is thoughtfully designed with primary fields that users can easily personalize by changing text, adjusting colors, or swapping images. No matter the research topic, you can tailor the template to fit your specific needs.

Once you're done customizing your research proposal template on Visme, you can download, share and publish it in different ways. For offline usage, you may download the proposal in PDF, PNG, or JPG format. To share it online, you can use a private or public link or generate a code snippet that you can embed anywhere on the web.

Want to create other types of proposals? Here are 29 proposal templates that you can easily customize in Visme.

Q. What Are the Five Steps of Writing a Research Proposal?

Follow these steps to write a solid research proposal:

• Choose a topic within your field of study that can be explored and investigated.
• Research existing literature and studies to build a foundational understanding and prepare your research question.
• Outline your research proposal: introduction, literature review, proposed methodology, budget and timeline.
• Conduct more detailed studies to strengthen your proposition, refine your research question and justify your methodology.
• Follow your outline to write a clear and organized proposal, then review and edit for accuracy before submitting.

If you want to learn more about creating an expert research proposal , we highly recommend checking out our in-depth guide.

Q. How Long Is a Research Proposal?

Research proposals can range from 1,000 to 5,000 words. For smaller projects or when specific requirements aren't provided, aim for a concise and informative proposal that effectively outlines your research plan.

However, the ideal length depends on these factors:

• Projects with complex methodologies or multiple phases may require longer proposals to explain the scope and procedures in detail.
• Universities, academic institutions and funding agencies often have guidelines of a specific length. Always check their requirements beforehand.
• When writing a proposal, adjust the level of study based on the audience. Academic proposals may require comprehensive explanations, while business or non-profit proposals require a more streamlined approach.

Q. How Long Does It Take to Write a Research Proposal?

The time it takes to write a research proposal depends on a few factors:

• Complex research with extensive data collection or analysis will naturally take longer to plan and write about.
• If you're new to writing research proposals, expect to spend more time learning the format and best practices.
• If you've already conducted some research or a thorough literature review, the writing process might go faster.
• Funding applications often have strict deadlines that will dictate your timeline.

Set aside several weeks to a couple of months for researching, writing, and revising your proposal. Start early to avoid stress and produce your best work.

Q. What Not to Do for a Research Proposal?

There are several factors that can make a research proposal weak. Here are some of the most common errors that you should avoid while preparing your research proposal:

• Don’t choose a topic that’s too broad. Focus on a specific area you can thoroughly explore within your proposal’s limits.
• Don’t ignore the rules for formatting and submitting your proposal. Always adhere to the requirements set by your institution or funding body.
• Don’t forget to conduct a thorough literature review. It's crucial to show your grasp of existing research related to your topic.
• Don't be vague about your methods. Ensure they're clearly defined and suitable for answering your research question.
• Don't overlook errors in grammar, typos or structure. A well-proofread proposal reflects professionalism, so review it carefully before submitting it.

Craft Professional & Engaging Proposals with Visme

Writing a compelling research proposal takes effort, but with the right tools, the process becomes a breeze. Use the research proposal examples and templates in this article as a launching point to write your own proposal.

The best part? Visme provides easy-to-use tools with a vast collection of customizable templates, design elements and powerful features.

Whether you're a seasoned researcher or a student, Visme has the resources to help you create visually appealing and well-structured research proposals. In addition to research proposals, Visme helps you create many other document types, such as presentations , infographics , reports and more.

Ready to create your own research proposal? Check out Visme's proposal maker and start crafting professional and engaging proposals in minutes!

Create professional research proposals with Visme

Trusted by leading brands

Recommended content for you:

Create Stunning Content!

Design visual brand experiences for your business whether you are a seasoned designer or a total novice.

About the Author

Raja Antony Mandal is a Content Writer at Visme. He can quickly adapt to different writing styles, possess strong research skills, and know SEO fundamentals. Raja wants to share valuable information with his audience by telling captivating stories in his articles. He wants to travel and party a lot on the weekends, but his guitar, drum set, and volleyball court don’t let him.

17 Research Proposal Examples

Chris Drew (PhD)

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

Learn about our Editorial Process

A research proposal systematically and transparently outlines a proposed research project.

The purpose of a research proposal is to demonstrate a project’s viability and the researcher’s preparedness to conduct an academic study. It serves as a roadmap for the researcher.

The process holds value both externally (for accountability purposes and often as a requirement for a grant application) and intrinsic value (for helping the researcher to clarify the mechanics, purpose, and potential signficance of the study).

Key sections of a research proposal include: the title, abstract, introduction, literature review, research design and methods, timeline, budget, outcomes and implications, references, and appendix. Each is briefly explained below.

Watch my Guide: How to Write a Research Proposal

Get your Template for Writing your Research Proposal Here (With AI Prompts!)

Research Proposal Sample Structure

Title: The title should present a concise and descriptive statement that clearly conveys the core idea of the research projects. Make it as specific as possible. The reader should immediately be able to grasp the core idea of the intended research project. Often, the title is left too vague and does not help give an understanding of what exactly the study looks at.

Abstract: Abstracts are usually around 250-300 words and provide an overview of what is to follow – including the research problem , objectives, methods, expected outcomes, and significance of the study. Use it as a roadmap and ensure that, if the abstract is the only thing someone reads, they’ll get a good fly-by of what will be discussed in the peice.

Introduction: Introductions are all about contextualization. They often set the background information with a statement of the problem. At the end of the introduction, the reader should understand what the rationale for the study truly is. I like to see the research questions or hypotheses included in the introduction and I like to get a good understanding of what the significance of the research will be. It’s often easiest to write the introduction last

Literature Review: The literature review dives deep into the existing literature on the topic, demosntrating your thorough understanding of the existing literature including themes, strengths, weaknesses, and gaps in the literature. It serves both to demonstrate your knowledge of the field and, to demonstrate how the proposed study will fit alongside the literature on the topic. A good literature review concludes by clearly demonstrating how your research will contribute something new and innovative to the conversation in the literature.

Research Design and Methods: This section needs to clearly demonstrate how the data will be gathered and analyzed in a systematic and academically sound manner. Here, you need to demonstrate that the conclusions of your research will be both valid and reliable. Common points discussed in the research design and methods section include highlighting the research paradigm, methodologies, intended population or sample to be studied, data collection techniques, and data analysis procedures . Toward the end of this section, you are encouraged to also address ethical considerations and limitations of the research process , but also to explain why you chose your research design and how you are mitigating the identified risks and limitations.

Timeline: Provide an outline of the anticipated timeline for the study. Break it down into its various stages (including data collection, data analysis, and report writing). The goal of this section is firstly to establish a reasonable breakdown of steps for you to follow and secondly to demonstrate to the assessors that your project is practicable and feasible.

Budget: Estimate the costs associated with the research project and include evidence for your estimations. Typical costs include staffing costs, equipment, travel, and data collection tools. When applying for a scholarship, the budget should demonstrate that you are being responsible with your expensive and that your funding application is reasonable.

Expected Outcomes and Implications: A discussion of the anticipated findings or results of the research, as well as the potential contributions to the existing knowledge, theory, or practice in the field. This section should also address the potential impact of the research on relevant stakeholders and any broader implications for policy or practice.

References: A complete list of all the sources cited in the research proposal, formatted according to the required citation style. This demonstrates the researcher’s familiarity with the relevant literature and ensures proper attribution of ideas and information.

Appendices (if applicable): Any additional materials, such as questionnaires, interview guides, or consent forms, that provide further information or support for the research proposal. These materials should be included as appendices at the end of the document.

Research Proposal Examples

Research proposals often extend anywhere between 2,000 and 15,000 words in length. The following snippets are samples designed to briefly demonstrate what might be discussed in each section.

1. Education Studies Research Proposals

See some real sample pieces:

• Assessment of the perceptions of teachers towards a new grading system
• Does ICT use in secondary classrooms help or hinder student learning?
• Digital technologies in focus project
• Urban Middle School Teachers’ Experiences of the Implementation of
• Restorative Justice Practices
• Experiences of students of color in service learning

Consider this hypothetical education research proposal:

The Impact of Game-Based Learning on Student Engagement and Academic Performance in Middle School Mathematics

Abstract: The proposed study will explore multiplayer game-based learning techniques in middle school mathematics curricula and their effects on student engagement. The study aims to contribute to the current literature on game-based learning by examining the effects of multiplayer gaming in learning.

Introduction: Digital game-based learning has long been shunned within mathematics education for fears that it may distract students or lower the academic integrity of the classrooms. However, there is emerging evidence that digital games in math have emerging benefits not only for engagement but also academic skill development. Contributing to this discourse, this study seeks to explore the potential benefits of multiplayer digital game-based learning by examining its impact on middle school students’ engagement and academic performance in a mathematics class.

Literature Review: The literature review has identified gaps in the current knowledge, namely, while game-based learning has been extensively explored, the role of multiplayer games in supporting learning has not been studied.

Research Design and Methods: This study will employ a mixed-methods research design based upon action research in the classroom. A quasi-experimental pre-test/post-test control group design will first be used to compare the academic performance and engagement of middle school students exposed to game-based learning techniques with those in a control group receiving instruction without the aid of technology. Students will also be observed and interviewed in regard to the effect of communication and collaboration during gameplay on their learning.

Timeline: The study will take place across the second term of the school year with a pre-test taking place on the first day of the term and the post-test taking place on Wednesday in Week 10.

Budget: The key budgetary requirements will be the technologies required, including the subscription cost for the identified games and computers.

Expected Outcomes and Implications: It is expected that the findings will contribute to the current literature on game-based learning and inform educational practices, providing educators and policymakers with insights into how to better support student achievement in mathematics.

2. Psychology Research Proposals

See some real examples:

• A situational analysis of shared leadership in a self-managing team
• The effect of musical preference on running performance
• Relationship between self-esteem and disordered eating amongst adolescent females

Consider this hypothetical psychology research proposal:

The Effects of Mindfulness-Based Interventions on Stress Reduction in College Students

Abstract: This research proposal examines the impact of mindfulness-based interventions on stress reduction among college students, using a pre-test/post-test experimental design with both quantitative and qualitative data collection methods .

Introduction: College students face heightened stress levels during exam weeks. This can affect both mental health and test performance. This study explores the potential benefits of mindfulness-based interventions such as meditation as a way to mediate stress levels in the weeks leading up to exam time.

Literature Review: Existing research on mindfulness-based meditation has shown the ability for mindfulness to increase metacognition, decrease anxiety levels, and decrease stress. Existing literature has looked at workplace, high school and general college-level applications. This study will contribute to the corpus of literature by exploring the effects of mindfulness directly in the context of exam weeks.

Research Design and Methods: Participants ( n= 234 ) will be randomly assigned to either an experimental group, receiving 5 days per week of 10-minute mindfulness-based interventions, or a control group, receiving no intervention. Data will be collected through self-report questionnaires, measuring stress levels, semi-structured interviews exploring participants’ experiences, and students’ test scores.

Timeline: The study will begin three weeks before the students’ exam week and conclude after each student’s final exam. Data collection will occur at the beginning (pre-test of self-reported stress levels) and end (post-test) of the three weeks.

Expected Outcomes and Implications: The study aims to provide evidence supporting the effectiveness of mindfulness-based interventions in reducing stress among college students in the lead up to exams, with potential implications for mental health support and stress management programs on college campuses.

3. Sociology Research Proposals

• Understanding emerging social movements: A case study of ‘Jersey in Transition’
• The interaction of health, education and employment in Western China
• Can we preserve lower-income affordable neighbourhoods in the face of rising costs?

Consider this hypothetical sociology research proposal:

The Impact of Social Media Usage on Interpersonal Relationships among Young Adults

Abstract: This research proposal investigates the effects of social media usage on interpersonal relationships among young adults, using a longitudinal mixed-methods approach with ongoing semi-structured interviews to collect qualitative data.

Introduction: Social media platforms have become a key medium for the development of interpersonal relationships, particularly for young adults. This study examines the potential positive and negative effects of social media usage on young adults’ relationships and development over time.

Literature Review: A preliminary review of relevant literature has demonstrated that social media usage is central to development of a personal identity and relationships with others with similar subcultural interests. However, it has also been accompanied by data on mental health deline and deteriorating off-screen relationships. The literature is to-date lacking important longitudinal data on these topics.

Research Design and Methods: Participants ( n = 454 ) will be young adults aged 18-24. Ongoing self-report surveys will assess participants’ social media usage, relationship satisfaction, and communication patterns. A subset of participants will be selected for longitudinal in-depth interviews starting at age 18 and continuing for 5 years.

Timeline: The study will be conducted over a period of five years, including recruitment, data collection, analysis, and report writing.

Expected Outcomes and Implications: This study aims to provide insights into the complex relationship between social media usage and interpersonal relationships among young adults, potentially informing social policies and mental health support related to social media use.

4. Nursing Research Proposals

• Does Orthopaedic Pre-assessment clinic prepare the patient for admission to hospital?
• Nurses’ perceptions and experiences of providing psychological care to burns patients
• Registered psychiatric nurse’s practice with mentally ill parents and their children

Consider this hypothetical nursing research proposal:

The Influence of Nurse-Patient Communication on Patient Satisfaction and Health Outcomes following Emergency Cesarians

Abstract: This research will examines the impact of effective nurse-patient communication on patient satisfaction and health outcomes for women following c-sections, utilizing a mixed-methods approach with patient surveys and semi-structured interviews.

Introduction: It has long been known that effective communication between nurses and patients is crucial for quality care. However, additional complications arise following emergency c-sections due to the interaction between new mother’s changing roles and recovery from surgery.

Literature Review: A review of the literature demonstrates the importance of nurse-patient communication, its impact on patient satisfaction, and potential links to health outcomes. However, communication between nurses and new mothers is less examined, and the specific experiences of those who have given birth via emergency c-section are to date unexamined.

Research Design and Methods: Participants will be patients in a hospital setting who have recently had an emergency c-section. A self-report survey will assess their satisfaction with nurse-patient communication and perceived health outcomes. A subset of participants will be selected for in-depth interviews to explore their experiences and perceptions of the communication with their nurses.

Timeline: The study will be conducted over a period of six months, including rolling recruitment, data collection, analysis, and report writing within the hospital.

Expected Outcomes and Implications: This study aims to provide evidence for the significance of nurse-patient communication in supporting new mothers who have had an emergency c-section. Recommendations will be presented for supporting nurses and midwives in improving outcomes for new mothers who had complications during birth.

5. Social Work Research Proposals

• Experiences of negotiating employment and caring responsibilities of fathers post-divorce
• Exploring kinship care in the north region of British Columbia

Consider this hypothetical social work research proposal:

The Role of a Family-Centered Intervention in Preventing Homelessness Among At-Risk Youthin a working-class town in Northern England

Abstract: This research proposal investigates the effectiveness of a family-centered intervention provided by a local council area in preventing homelessness among at-risk youth. This case study will use a mixed-methods approach with program evaluation data and semi-structured interviews to collect quantitative and qualitative data .

Introduction: Homelessness among youth remains a significant social issue. This study aims to assess the effectiveness of family-centered interventions in addressing this problem and identify factors that contribute to successful prevention strategies.

Literature Review: A review of the literature has demonstrated several key factors contributing to youth homelessness including lack of parental support, lack of social support, and low levels of family involvement. It also demonstrates the important role of family-centered interventions in addressing this issue. Drawing on current evidence, this study explores the effectiveness of one such intervention in preventing homelessness among at-risk youth in a working-class town in Northern England.

Research Design and Methods: The study will evaluate a new family-centered intervention program targeting at-risk youth and their families. Quantitative data on program outcomes, including housing stability and family functioning, will be collected through program records and evaluation reports. Semi-structured interviews with program staff, participants, and relevant stakeholders will provide qualitative insights into the factors contributing to program success or failure.

Timeline: The study will be conducted over a period of six months, including recruitment, data collection, analysis, and report writing.

Budget: Expenses include access to program evaluation data, interview materials, data analysis software, and any related travel costs for in-person interviews.

Expected Outcomes and Implications: This study aims to provide evidence for the effectiveness of family-centered interventions in preventing youth homelessness, potentially informing the expansion of or necessary changes to social work practices in Northern England.

Research Proposal Template

Get your Detailed Template for Writing your Research Proposal Here (With AI Prompts!)

This is a template for a 2500-word research proposal. You may find it difficult to squeeze everything into this wordcount, but it’s a common wordcount for Honors and MA-level dissertations.

Your research proposal is where you really get going with your study. I’d strongly recommend working closely with your teacher in developing a research proposal that’s consistent with the requirements and culture of your institution, as in my experience it varies considerably. The above template is from my own courses that walk students through research proposals in a British School of Education.

• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 119 Bloom’s Taxonomy Examples
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ All 6 Levels of Understanding (on Bloom’s Taxonomy)
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 15 Self-Actualization Examples (Maslow's Hierarchy)
• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ Forest Schools Philosophy & Curriculum, Explained!

8 thoughts on “17 Research Proposal Examples”

Very excellent research proposals

very helpful

Very helpful

Dear Sir, I need some help to write an educational research proposal. Thank you.

Hi Levi, use the site search bar to ask a question and I’ll likely have a guide already written for your specific question. Thanks for reading!

very good research proposal

Thank you so much sir! ❤️

Very helpful 👌

Leave a Comment Cancel Reply

Your email address will not be published. Required fields are marked *

• Privacy Policy

Home » How To Write A Research Proposal – Step-by-Step [Template]

How To Write A Research Proposal – Step-by-Step [Template]

Table of Contents

How To Write a Research Proposal

Writing a Research proposal involves several steps to ensure a well-structured and comprehensive document. Here is an explanation of each step:

1. Title and Abstract

• Choose a concise and descriptive title that reflects the essence of your research.
• Write an abstract summarizing your research question, objectives, methodology, and expected outcomes. It should provide a brief overview of your proposal.

2. Introduction:

• Provide an introduction to your research topic, highlighting its significance and relevance.
• Clearly state the research problem or question you aim to address.
• Discuss the background and context of the study, including previous research in the field.

3. Research Objectives

• Outline the specific objectives or aims of your research. These objectives should be clear, achievable, and aligned with the research problem.

4. Literature Review:

• Conduct a comprehensive review of relevant literature and studies related to your research topic.
• Summarize key findings, identify gaps, and highlight how your research will contribute to the existing knowledge.

5. Methodology:

• Describe the research design and methodology you plan to employ to address your research objectives.
• Explain the data collection methods, instruments, and analysis techniques you will use.
• Justify why the chosen methods are appropriate and suitable for your research.

6. Timeline:

• Create a timeline or schedule that outlines the major milestones and activities of your research project.
• Break down the research process into smaller tasks and estimate the time required for each task.

7. Resources:

• Identify the resources needed for your research, such as access to specific databases, equipment, or funding.
• Explain how you will acquire or utilize these resources to carry out your research effectively.

8. Ethical Considerations:

• Discuss any ethical issues that may arise during your research and explain how you plan to address them.
• If your research involves human subjects, explain how you will ensure their informed consent and privacy.

9. Expected Outcomes and Significance:

• Clearly state the expected outcomes or results of your research.
• Highlight the potential impact and significance of your research in advancing knowledge or addressing practical issues.

10. References:

• Provide a list of all the references cited in your proposal, following a consistent citation style (e.g., APA, MLA).

11. Appendices:

• Include any additional supporting materials, such as survey questionnaires, interview guides, or data analysis plans.

Research Proposal Format

The format of a research proposal may vary depending on the specific requirements of the institution or funding agency. However, the following is a commonly used format for a research proposal:

1. Title Page:

• Include the title of your research proposal, your name, your affiliation or institution, and the date.

2. Abstract:

• Provide a brief summary of your research proposal, highlighting the research problem, objectives, methodology, and expected outcomes.

3. Introduction:

• Introduce the research topic and provide background information.
• State the research problem or question you aim to address.
• Explain the significance and relevance of the research.
• Review relevant literature and studies related to your research topic.
• Summarize key findings and identify gaps in the existing knowledge.
• Explain how your research will contribute to filling those gaps.

5. Research Objectives:

• Clearly state the specific objectives or aims of your research.
• Ensure that the objectives are clear, focused, and aligned with the research problem.

6. Methodology:

• Describe the research design and methodology you plan to use.
• Explain the data collection methods, instruments, and analysis techniques.
• Justify why the chosen methods are appropriate for your research.

7. Timeline:

8. Resources:

• Explain how you will acquire or utilize these resources effectively.

9. Ethical Considerations:

• If applicable, explain how you will ensure informed consent and protect the privacy of research participants.

10. Expected Outcomes and Significance:

11. References:

12. Appendices:

Research Proposal Template

Here’s a template for a research proposal:

1. Introduction:

2. Literature Review:

3. Research Objectives:

4. Methodology:

5. Timeline:

6. Resources:

7. Ethical Considerations:

8. Expected Outcomes and Significance:

9. References:

10. Appendices:

Research Proposal Sample

Title: The Impact of Online Education on Student Learning Outcomes: A Comparative Study

1. Introduction

Online education has gained significant prominence in recent years, especially due to the COVID-19 pandemic. This research proposal aims to investigate the impact of online education on student learning outcomes by comparing them with traditional face-to-face instruction. The study will explore various aspects of online education, such as instructional methods, student engagement, and academic performance, to provide insights into the effectiveness of online learning.

2. Objectives

The main objectives of this research are as follows:

• To compare student learning outcomes between online and traditional face-to-face education.
• To examine the factors influencing student engagement in online learning environments.
• To assess the effectiveness of different instructional methods employed in online education.
• To identify challenges and opportunities associated with online education and suggest recommendations for improvement.

3. Methodology

3.1 Study Design

This research will utilize a mixed-methods approach to gather both quantitative and qualitative data. The study will include the following components:

3.2 Participants

The research will involve undergraduate students from two universities, one offering online education and the other providing face-to-face instruction. A total of 500 students (250 from each university) will be selected randomly to participate in the study.

3.3 Data Collection

The research will employ the following data collection methods:

• Quantitative: Pre- and post-assessments will be conducted to measure students’ learning outcomes. Data on student demographics and academic performance will also be collected from university records.
• Qualitative: Focus group discussions and individual interviews will be conducted with students to gather their perceptions and experiences regarding online education.

3.4 Data Analysis

Quantitative data will be analyzed using statistical software, employing descriptive statistics, t-tests, and regression analysis. Qualitative data will be transcribed, coded, and analyzed thematically to identify recurring patterns and themes.

4. Ethical Considerations

The study will adhere to ethical guidelines, ensuring the privacy and confidentiality of participants. Informed consent will be obtained, and participants will have the right to withdraw from the study at any time.

5. Significance and Expected Outcomes

This research will contribute to the existing literature by providing empirical evidence on the impact of online education on student learning outcomes. The findings will help educational institutions and policymakers make informed decisions about incorporating online learning methods and improving the quality of online education. Moreover, the study will identify potential challenges and opportunities related to online education and offer recommendations for enhancing student engagement and overall learning outcomes.

6. Timeline

The proposed research will be conducted over a period of 12 months, including data collection, analysis, and report writing.

The estimated budget for this research includes expenses related to data collection, software licenses, participant compensation, and research assistance. A detailed budget breakdown will be provided in the final research plan.

8. Conclusion

This research proposal aims to investigate the impact of online education on student learning outcomes through a comparative study with traditional face-to-face instruction. By exploring various dimensions of online education, this research will provide valuable insights into the effectiveness and challenges associated with online learning. The findings will contribute to the ongoing discourse on educational practices and help shape future strategies for maximizing student learning outcomes in online education settings.

About the author

Muhammad Hassan

Researcher, Academic Writer, Web developer

You may also like

How To Write A Grant Proposal – Step-by-Step...

How To Write A Proposal – Step By Step Guide...

Business Proposal – Templates, Examples and Guide

Grant Proposal – Example, Template and Guide

Research Proposal – Types, Template and Example

Proposal – Types, Examples, and Writing Guide

• USC Libraries
• Research Guides

Organizing Your Social Sciences Research Paper

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

Introduction

Before beginning your paper, you need to decide how you plan to design the study .

The research design refers to the overall strategy and analytical approach that you have chosen in order to integrate, in a coherent and logical way, the different components of the study, thus ensuring that the research problem will be thoroughly investigated. It constitutes the blueprint for the collection, measurement, and interpretation of information and data. Note that the research problem determines the type of design you choose, not the other way around!

De Vaus, D. A. Research Design in Social Research . London: SAGE, 2001; Trochim, William M.K. Research Methods Knowledge Base. 2006.

General Structure and Writing Style

The function of a research design is to ensure that the evidence obtained enables you to effectively address the research problem logically and as unambiguously as possible . In social sciences research, obtaining information relevant to the research problem generally entails specifying the type of evidence needed to test the underlying assumptions of a theory, to evaluate a program, or to accurately describe and assess meaning related to an observable phenomenon.

With this in mind, a common mistake made by researchers is that they begin their investigations before they have thought critically about what information is required to address the research problem. Without attending to these design issues beforehand, the overall research problem will not be adequately addressed and any conclusions drawn will run the risk of being weak and unconvincing. As a consequence, the overall validity of the study will be undermined.

The length and complexity of describing the research design in your paper can vary considerably, but any well-developed description will achieve the following :

• Identify the research problem clearly and justify its selection, particularly in relation to any valid alternative designs that could have been used,
• Review and synthesize previously published literature associated with the research problem,
• Clearly and explicitly specify hypotheses [i.e., research questions] central to the problem,
• Effectively describe the information and/or data which will be necessary for an adequate testing of the hypotheses and explain how such information and/or data will be obtained, and
• Describe the methods of analysis to be applied to the data in determining whether or not the hypotheses are true or false.

The research design is usually incorporated into the introduction of your paper . You can obtain an overall sense of what to do by reviewing studies that have utilized the same research design [e.g., using a case study approach]. This can help you develop an outline to follow for your own paper.

NOTE: Use the SAGE Research Methods Online and Cases and the SAGE Research Methods Videos databases to search for scholarly resources on how to apply specific research designs and methods . The Research Methods Online database contains links to more than 175,000 pages of SAGE publisher's book, journal, and reference content on quantitative, qualitative, and mixed research methodologies. Also included is a collection of case studies of social research projects that can be used to help you better understand abstract or complex methodological concepts. The Research Methods Videos database contains hours of tutorials, interviews, video case studies, and mini-documentaries covering the entire research process.

Creswell, John W. and J. David Creswell. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches . 5th edition. Thousand Oaks, CA: Sage, 2018; De Vaus, D. A. Research Design in Social Research . London: SAGE, 2001; Gorard, Stephen. Research Design: Creating Robust Approaches for the Social Sciences . Thousand Oaks, CA: Sage, 2013; Leedy, Paul D. and Jeanne Ellis Ormrod. Practical Research: Planning and Design . Tenth edition. Boston, MA: Pearson, 2013; Vogt, W. Paul, Dianna C. Gardner, and Lynne M. Haeffele. When to Use What Research Design . New York: Guilford, 2012.

Action Research Design

Definition and Purpose

The essentials of action research design follow a characteristic cycle whereby initially an exploratory stance is adopted, where an understanding of a problem is developed and plans are made for some form of interventionary strategy. Then the intervention is carried out [the "action" in action research] during which time, pertinent observations are collected in various forms. The new interventional strategies are carried out, and this cyclic process repeats, continuing until a sufficient understanding of [or a valid implementation solution for] the problem is achieved. The protocol is iterative or cyclical in nature and is intended to foster deeper understanding of a given situation, starting with conceptualizing and particularizing the problem and moving through several interventions and evaluations.

What do these studies tell you ?

• This is a collaborative and adaptive research design that lends itself to use in work or community situations.
• Design focuses on pragmatic and solution-driven research outcomes rather than testing theories.
• When practitioners use action research, it has the potential to increase the amount they learn consciously from their experience; the action research cycle can be regarded as a learning cycle.
• Action research studies often have direct and obvious relevance to improving practice and advocating for change.
• There are no hidden controls or preemption of direction by the researcher.

What these studies don't tell you ?

• It is harder to do than conducting conventional research because the researcher takes on responsibilities of advocating for change as well as for researching the topic.
• Action research is much harder to write up because it is less likely that you can use a standard format to report your findings effectively [i.e., data is often in the form of stories or observation].
• Personal over-involvement of the researcher may bias research results.
• The cyclic nature of action research to achieve its twin outcomes of action [e.g. change] and research [e.g. understanding] is time-consuming and complex to conduct.
• Advocating for change usually requires buy-in from study participants.

Coghlan, David and Mary Brydon-Miller. The Sage Encyclopedia of Action Research . Thousand Oaks, CA:  Sage, 2014; Efron, Sara Efrat and Ruth Ravid. Action Research in Education: A Practical Guide . New York: Guilford, 2013; Gall, Meredith. Educational Research: An Introduction . Chapter 18, Action Research. 8th ed. Boston, MA: Pearson/Allyn and Bacon, 2007; Gorard, Stephen. Research Design: Creating Robust Approaches for the Social Sciences . Thousand Oaks, CA: Sage, 2013; Kemmis, Stephen and Robin McTaggart. “Participatory Action Research.” In Handbook of Qualitative Research . Norman Denzin and Yvonna S. Lincoln, eds. 2nd ed. (Thousand Oaks, CA: SAGE, 2000), pp. 567-605; McNiff, Jean. Writing and Doing Action Research . London: Sage, 2014; Reason, Peter and Hilary Bradbury. Handbook of Action Research: Participative Inquiry and Practice . Thousand Oaks, CA: SAGE, 2001.

Case Study Design

A case study is an in-depth study of a particular research problem rather than a sweeping statistical survey or comprehensive comparative inquiry. It is often used to narrow down a very broad field of research into one or a few easily researchable examples. The case study research design is also useful for testing whether a specific theory and model actually applies to phenomena in the real world. It is a useful design when not much is known about an issue or phenomenon.

• Approach excels at bringing us to an understanding of a complex issue through detailed contextual analysis of a limited number of events or conditions and their relationships.
• A researcher using a case study design can apply a variety of methodologies and rely on a variety of sources to investigate a research problem.
• Design can extend experience or add strength to what is already known through previous research.
• Social scientists, in particular, make wide use of this research design to examine contemporary real-life situations and provide the basis for the application of concepts and theories and the extension of methodologies.
• The design can provide detailed descriptions of specific and rare cases.
• A single or small number of cases offers little basis for establishing reliability or to generalize the findings to a wider population of people, places, or things.
• Intense exposure to the study of a case may bias a researcher's interpretation of the findings.
• Design does not facilitate assessment of cause and effect relationships.
• Vital information may be missing, making the case hard to interpret.
• The case may not be representative or typical of the larger problem being investigated.
• If the criteria for selecting a case is because it represents a very unusual or unique phenomenon or problem for study, then your interpretation of the findings can only apply to that particular case.

Case Studies. Writing@CSU. Colorado State University; Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 4, Flexible Methods: Case Study Design. 2nd ed. New York: Columbia University Press, 1999; Gerring, John. “What Is a Case Study and What Is It Good for?” American Political Science Review 98 (May 2004): 341-354; Greenhalgh, Trisha, editor. Case Study Evaluation: Past, Present and Future Challenges . Bingley, UK: Emerald Group Publishing, 2015; Mills, Albert J. , Gabrielle Durepos, and Eiden Wiebe, editors. Encyclopedia of Case Study Research . Thousand Oaks, CA: SAGE Publications, 2010; Stake, Robert E. The Art of Case Study Research . Thousand Oaks, CA: SAGE, 1995; Yin, Robert K. Case Study Research: Design and Theory . Applied Social Research Methods Series, no. 5. 3rd ed. Thousand Oaks, CA: SAGE, 2003.

Causal Design

Causality studies may be thought of as understanding a phenomenon in terms of conditional statements in the form, “If X, then Y.” This type of research is used to measure what impact a specific change will have on existing norms and assumptions. Most social scientists seek causal explanations that reflect tests of hypotheses. Causal effect (nomothetic perspective) occurs when variation in one phenomenon, an independent variable, leads to or results, on average, in variation in another phenomenon, the dependent variable.

Conditions necessary for determining causality:

• Empirical association -- a valid conclusion is based on finding an association between the independent variable and the dependent variable.
• Appropriate time order -- to conclude that causation was involved, one must see that cases were exposed to variation in the independent variable before variation in the dependent variable.
• Nonspuriousness -- a relationship between two variables that is not due to variation in a third variable.
• Causality research designs assist researchers in understanding why the world works the way it does through the process of proving a causal link between variables and by the process of eliminating other possibilities.
• Replication is possible.
• There is greater confidence the study has internal validity due to the systematic subject selection and equity of groups being compared.
• Not all relationships are causal! The possibility always exists that, by sheer coincidence, two unrelated events appear to be related [e.g., Punxatawney Phil could accurately predict the duration of Winter for five consecutive years but, the fact remains, he's just a big, furry rodent].
• Conclusions about causal relationships are difficult to determine due to a variety of extraneous and confounding variables that exist in a social environment. This means causality can only be inferred, never proven.
• If two variables are correlated, the cause must come before the effect. However, even though two variables might be causally related, it can sometimes be difficult to determine which variable comes first and, therefore, to establish which variable is the actual cause and which is the  actual effect.

Beach, Derek and Rasmus Brun Pedersen. Causal Case Study Methods: Foundations and Guidelines for Comparing, Matching, and Tracing . Ann Arbor, MI: University of Michigan Press, 2016; Bachman, Ronet. The Practice of Research in Criminology and Criminal Justice . Chapter 5, Causation and Research Designs. 3rd ed. Thousand Oaks, CA: Pine Forge Press, 2007; Brewer, Ernest W. and Jennifer Kubn. “Causal-Comparative Design.” In Encyclopedia of Research Design . Neil J. Salkind, editor. (Thousand Oaks, CA: Sage, 2010), pp. 125-132; Causal Research Design: Experimentation. Anonymous SlideShare Presentation; Gall, Meredith. Educational Research: An Introduction . Chapter 11, Nonexperimental Research: Correlational Designs. 8th ed. Boston, MA: Pearson/Allyn and Bacon, 2007; Trochim, William M.K. Research Methods Knowledge Base. 2006.

Cohort Design

Often used in the medical sciences, but also found in the applied social sciences, a cohort study generally refers to a study conducted over a period of time involving members of a population which the subject or representative member comes from, and who are united by some commonality or similarity. Using a quantitative framework, a cohort study makes note of statistical occurrence within a specialized subgroup, united by same or similar characteristics that are relevant to the research problem being investigated, rather than studying statistical occurrence within the general population. Using a qualitative framework, cohort studies generally gather data using methods of observation. Cohorts can be either "open" or "closed."

• Open Cohort Studies [dynamic populations, such as the population of Los Angeles] involve a population that is defined just by the state of being a part of the study in question (and being monitored for the outcome). Date of entry and exit from the study is individually defined, therefore, the size of the study population is not constant. In open cohort studies, researchers can only calculate rate based data, such as, incidence rates and variants thereof.
• Closed Cohort Studies [static populations, such as patients entered into a clinical trial] involve participants who enter into the study at one defining point in time and where it is presumed that no new participants can enter the cohort. Given this, the number of study participants remains constant (or can only decrease).
• The use of cohorts is often mandatory because a randomized control study may be unethical. For example, you cannot deliberately expose people to asbestos, you can only study its effects on those who have already been exposed. Research that measures risk factors often relies upon cohort designs.
• Because cohort studies measure potential causes before the outcome has occurred, they can demonstrate that these “causes” preceded the outcome, thereby avoiding the debate as to which is the cause and which is the effect.
• Cohort analysis is highly flexible and can provide insight into effects over time and related to a variety of different types of changes [e.g., social, cultural, political, economic, etc.].
• Either original data or secondary data can be used in this design.
• In cases where a comparative analysis of two cohorts is made [e.g., studying the effects of one group exposed to asbestos and one that has not], a researcher cannot control for all other factors that might differ between the two groups. These factors are known as confounding variables.
• Cohort studies can end up taking a long time to complete if the researcher must wait for the conditions of interest to develop within the group. This also increases the chance that key variables change during the course of the study, potentially impacting the validity of the findings.
• Due to the lack of randominization in the cohort design, its external validity is lower than that of study designs where the researcher randomly assigns participants.

Healy P, Devane D. “Methodological Considerations in Cohort Study Designs.” Nurse Researcher 18 (2011): 32-36; Glenn, Norval D, editor. Cohort Analysis . 2nd edition. Thousand Oaks, CA: Sage, 2005; Levin, Kate Ann. Study Design IV: Cohort Studies. Evidence-Based Dentistry 7 (2003): 51–52; Payne, Geoff. “Cohort Study.” In The SAGE Dictionary of Social Research Methods . Victor Jupp, editor. (Thousand Oaks, CA: Sage, 2006), pp. 31-33; Study Design 101. Himmelfarb Health Sciences Library. George Washington University, November 2011; Cohort Study. Wikipedia.

Cross-Sectional Design

Cross-sectional research designs have three distinctive features: no time dimension; a reliance on existing differences rather than change following intervention; and, groups are selected based on existing differences rather than random allocation. The cross-sectional design can only measure differences between or from among a variety of people, subjects, or phenomena rather than a process of change. As such, researchers using this design can only employ a relatively passive approach to making causal inferences based on findings.

• Cross-sectional studies provide a clear 'snapshot' of the outcome and the characteristics associated with it, at a specific point in time.
• Unlike an experimental design, where there is an active intervention by the researcher to produce and measure change or to create differences, cross-sectional designs focus on studying and drawing inferences from existing differences between people, subjects, or phenomena.
• Entails collecting data at and concerning one point in time. While longitudinal studies involve taking multiple measures over an extended period of time, cross-sectional research is focused on finding relationships between variables at one moment in time.
• Groups identified for study are purposely selected based upon existing differences in the sample rather than seeking random sampling.
• Cross-section studies are capable of using data from a large number of subjects and, unlike observational studies, is not geographically bound.
• Can estimate prevalence of an outcome of interest because the sample is usually taken from the whole population.
• Because cross-sectional designs generally use survey techniques to gather data, they are relatively inexpensive and take up little time to conduct.
• Finding people, subjects, or phenomena to study that are very similar except in one specific variable can be difficult.
• Results are static and time bound and, therefore, give no indication of a sequence of events or reveal historical or temporal contexts.
• Studies cannot be utilized to establish cause and effect relationships.
• This design only provides a snapshot of analysis so there is always the possibility that a study could have differing results if another time-frame had been chosen.
• There is no follow up to the findings.

Bethlehem, Jelke. "7: Cross-sectional Research." In Research Methodology in the Social, Behavioural and Life Sciences . Herman J Adèr and Gideon J Mellenbergh, editors. (London, England: Sage, 1999), pp. 110-43; Bourque, Linda B. “Cross-Sectional Design.” In  The SAGE Encyclopedia of Social Science Research Methods . Michael S. Lewis-Beck, Alan Bryman, and Tim Futing Liao. (Thousand Oaks, CA: 2004), pp. 230-231; Hall, John. “Cross-Sectional Survey Design.” In Encyclopedia of Survey Research Methods . Paul J. Lavrakas, ed. (Thousand Oaks, CA: Sage, 2008), pp. 173-174; Helen Barratt, Maria Kirwan. Cross-Sectional Studies: Design Application, Strengths and Weaknesses of Cross-Sectional Studies. Healthknowledge, 2009. Cross-Sectional Study. Wikipedia.

Descriptive Design

Descriptive research designs help provide answers to the questions of who, what, when, where, and how associated with a particular research problem; a descriptive study cannot conclusively ascertain answers to why. Descriptive research is used to obtain information concerning the current status of the phenomena and to describe "what exists" with respect to variables or conditions in a situation.

• The subject is being observed in a completely natural and unchanged natural environment. True experiments, whilst giving analyzable data, often adversely influence the normal behavior of the subject [a.k.a., the Heisenberg effect whereby measurements of certain systems cannot be made without affecting the systems].
• Descriptive research is often used as a pre-cursor to more quantitative research designs with the general overview giving some valuable pointers as to what variables are worth testing quantitatively.
• If the limitations are understood, they can be a useful tool in developing a more focused study.
• Descriptive studies can yield rich data that lead to important recommendations in practice.
• Appoach collects a large amount of data for detailed analysis.
• The results from a descriptive research cannot be used to discover a definitive answer or to disprove a hypothesis.
• Because descriptive designs often utilize observational methods [as opposed to quantitative methods], the results cannot be replicated.
• The descriptive function of research is heavily dependent on instrumentation for measurement and observation.

Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 5, Flexible Methods: Descriptive Research. 2nd ed. New York: Columbia University Press, 1999; Given, Lisa M. "Descriptive Research." In Encyclopedia of Measurement and Statistics . Neil J. Salkind and Kristin Rasmussen, editors. (Thousand Oaks, CA: Sage, 2007), pp. 251-254; McNabb, Connie. Descriptive Research Methodologies. Powerpoint Presentation; Shuttleworth, Martyn. Descriptive Research Design, September 26, 2008; Erickson, G. Scott. "Descriptive Research Design." In New Methods of Market Research and Analysis . (Northampton, MA: Edward Elgar Publishing, 2017), pp. 51-77; Sahin, Sagufta, and Jayanta Mete. "A Brief Study on Descriptive Research: Its Nature and Application in Social Science." International Journal of Research and Analysis in Humanities 1 (2021): 11; K. Swatzell and P. Jennings. “Descriptive Research: The Nuts and Bolts.” Journal of the American Academy of Physician Assistants 20 (2007), pp. 55-56; Kane, E. Doing Your Own Research: Basic Descriptive Research in the Social Sciences and Humanities . London: Marion Boyars, 1985.

Experimental Design

A blueprint of the procedure that enables the researcher to maintain control over all factors that may affect the result of an experiment. In doing this, the researcher attempts to determine or predict what may occur. Experimental research is often used where there is time priority in a causal relationship (cause precedes effect), there is consistency in a causal relationship (a cause will always lead to the same effect), and the magnitude of the correlation is great. The classic experimental design specifies an experimental group and a control group. The independent variable is administered to the experimental group and not to the control group, and both groups are measured on the same dependent variable. Subsequent experimental designs have used more groups and more measurements over longer periods. True experiments must have control, randomization, and manipulation.

• Experimental research allows the researcher to control the situation. In so doing, it allows researchers to answer the question, “What causes something to occur?”
• Permits the researcher to identify cause and effect relationships between variables and to distinguish placebo effects from treatment effects.
• Experimental research designs support the ability to limit alternative explanations and to infer direct causal relationships in the study.
• Approach provides the highest level of evidence for single studies.
• The design is artificial, and results may not generalize well to the real world.
• The artificial settings of experiments may alter the behaviors or responses of participants.
• Experimental designs can be costly if special equipment or facilities are needed.
• Some research problems cannot be studied using an experiment because of ethical or technical reasons.
• Difficult to apply ethnographic and other qualitative methods to experimentally designed studies.

Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 7, Flexible Methods: Experimental Research. 2nd ed. New York: Columbia University Press, 1999; Chapter 2: Research Design, Experimental Designs. School of Psychology, University of New England, 2000; Chow, Siu L. "Experimental Design." In Encyclopedia of Research Design . Neil J. Salkind, editor. (Thousand Oaks, CA: Sage, 2010), pp. 448-453; "Experimental Design." In Social Research Methods . Nicholas Walliman, editor. (London, England: Sage, 2006), pp, 101-110; Experimental Research. Research Methods by Dummies. Department of Psychology. California State University, Fresno, 2006; Kirk, Roger E. Experimental Design: Procedures for the Behavioral Sciences . 4th edition. Thousand Oaks, CA: Sage, 2013; Trochim, William M.K. Experimental Design. Research Methods Knowledge Base. 2006; Rasool, Shafqat. Experimental Research. Slideshare presentation.

Exploratory Design

An exploratory design is conducted about a research problem when there are few or no earlier studies to refer to or rely upon to predict an outcome . The focus is on gaining insights and familiarity for later investigation or undertaken when research problems are in a preliminary stage of investigation. Exploratory designs are often used to establish an understanding of how best to proceed in studying an issue or what methodology would effectively apply to gathering information about the issue.

The goals of exploratory research are intended to produce the following possible insights:

• Familiarity with basic details, settings, and concerns.
• Well grounded picture of the situation being developed.
• Generation of new ideas and assumptions.
• Development of tentative theories or hypotheses.
• Determination about whether a study is feasible in the future.
• Issues get refined for more systematic investigation and formulation of new research questions.
• Direction for future research and techniques get developed.
• Design is a useful approach for gaining background information on a particular topic.
• Exploratory research is flexible and can address research questions of all types (what, why, how).
• Provides an opportunity to define new terms and clarify existing concepts.
• Exploratory research is often used to generate formal hypotheses and develop more precise research problems.
• In the policy arena or applied to practice, exploratory studies help establish research priorities and where resources should be allocated.
• Exploratory research generally utilizes small sample sizes and, thus, findings are typically not generalizable to the population at large.
• The exploratory nature of the research inhibits an ability to make definitive conclusions about the findings. They provide insight but not definitive conclusions.
• The research process underpinning exploratory studies is flexible but often unstructured, leading to only tentative results that have limited value to decision-makers.
• Design lacks rigorous standards applied to methods of data gathering and analysis because one of the areas for exploration could be to determine what method or methodologies could best fit the research problem.

Cuthill, Michael. “Exploratory Research: Citizen Participation, Local Government, and Sustainable Development in Australia.” Sustainable Development 10 (2002): 79-89; Streb, Christoph K. "Exploratory Case Study." In Encyclopedia of Case Study Research . Albert J. Mills, Gabrielle Durepos and Eiden Wiebe, editors. (Thousand Oaks, CA: Sage, 2010), pp. 372-374; Taylor, P. J., G. Catalano, and D.R.F. Walker. “Exploratory Analysis of the World City Network.” Urban Studies 39 (December 2002): 2377-2394; Exploratory Research. Wikipedia.

Field Research Design

Sometimes referred to as ethnography or participant observation, designs around field research encompass a variety of interpretative procedures [e.g., observation and interviews] rooted in qualitative approaches to studying people individually or in groups while inhabiting their natural environment as opposed to using survey instruments or other forms of impersonal methods of data gathering. Information acquired from observational research takes the form of “ field notes ” that involves documenting what the researcher actually sees and hears while in the field. Findings do not consist of conclusive statements derived from numbers and statistics because field research involves analysis of words and observations of behavior. Conclusions, therefore, are developed from an interpretation of findings that reveal overriding themes, concepts, and ideas. More information can be found HERE .

• Field research is often necessary to fill gaps in understanding the research problem applied to local conditions or to specific groups of people that cannot be ascertained from existing data.
• The research helps contextualize already known information about a research problem, thereby facilitating ways to assess the origins, scope, and scale of a problem and to gage the causes, consequences, and means to resolve an issue based on deliberate interaction with people in their natural inhabited spaces.
• Enables the researcher to corroborate or confirm data by gathering additional information that supports or refutes findings reported in prior studies of the topic.
• Because the researcher in embedded in the field, they are better able to make observations or ask questions that reflect the specific cultural context of the setting being investigated.
• Observing the local reality offers the opportunity to gain new perspectives or obtain unique data that challenges existing theoretical propositions or long-standing assumptions found in the literature.

What these studies don't tell you

• A field research study requires extensive time and resources to carry out the multiple steps involved with preparing for the gathering of information, including for example, examining background information about the study site, obtaining permission to access the study site, and building trust and rapport with subjects.
• Requires a commitment to staying engaged in the field to ensure that you can adequately document events and behaviors as they unfold.
• The unpredictable nature of fieldwork means that researchers can never fully control the process of data gathering. They must maintain a flexible approach to studying the setting because events and circumstances can change quickly or unexpectedly.
• Findings can be difficult to interpret and verify without access to documents and other source materials that help to enhance the credibility of information obtained from the field  [i.e., the act of triangulating the data].
• Linking the research problem to the selection of study participants inhabiting their natural environment is critical. However, this specificity limits the ability to generalize findings to different situations or in other contexts or to infer courses of action applied to other settings or groups of people.
• The reporting of findings must take into account how the researcher themselves may have inadvertently affected respondents and their behaviors.

Historical Design

The purpose of a historical research design is to collect, verify, and synthesize evidence from the past to establish facts that defend or refute a hypothesis. It uses secondary sources and a variety of primary documentary evidence, such as, diaries, official records, reports, archives, and non-textual information [maps, pictures, audio and visual recordings]. The limitation is that the sources must be both authentic and valid.

• The historical research design is unobtrusive; the act of research does not affect the results of the study.
• The historical approach is well suited for trend analysis.
• Historical records can add important contextual background required to more fully understand and interpret a research problem.
• There is often no possibility of researcher-subject interaction that could affect the findings.
• Historical sources can be used over and over to study different research problems or to replicate a previous study.
• The ability to fulfill the aims of your research are directly related to the amount and quality of documentation available to understand the research problem.
• Since historical research relies on data from the past, there is no way to manipulate it to control for contemporary contexts.
• Interpreting historical sources can be very time consuming.
• The sources of historical materials must be archived consistently to ensure access. This may especially challenging for digital or online-only sources.
• Original authors bring their own perspectives and biases to the interpretation of past events and these biases are more difficult to ascertain in historical resources.
• Due to the lack of control over external variables, historical research is very weak with regard to the demands of internal validity.
• It is rare that the entirety of historical documentation needed to fully address a research problem is available for interpretation, therefore, gaps need to be acknowledged.

Howell, Martha C. and Walter Prevenier. From Reliable Sources: An Introduction to Historical Methods . Ithaca, NY: Cornell University Press, 2001; Lundy, Karen Saucier. "Historical Research." In The Sage Encyclopedia of Qualitative Research Methods . Lisa M. Given, editor. (Thousand Oaks, CA: Sage, 2008), pp. 396-400; Marius, Richard. and Melvin E. Page. A Short Guide to Writing about History . 9th edition. Boston, MA: Pearson, 2015; Savitt, Ronald. “Historical Research in Marketing.” Journal of Marketing 44 (Autumn, 1980): 52-58;  Gall, Meredith. Educational Research: An Introduction . Chapter 16, Historical Research. 8th ed. Boston, MA: Pearson/Allyn and Bacon, 2007.

Longitudinal Design

A longitudinal study follows the same sample over time and makes repeated observations. For example, with longitudinal surveys, the same group of people is interviewed at regular intervals, enabling researchers to track changes over time and to relate them to variables that might explain why the changes occur. Longitudinal research designs describe patterns of change and help establish the direction and magnitude of causal relationships. Measurements are taken on each variable over two or more distinct time periods. This allows the researcher to measure change in variables over time. It is a type of observational study sometimes referred to as a panel study.

• Longitudinal data facilitate the analysis of the duration of a particular phenomenon.
• Enables survey researchers to get close to the kinds of causal explanations usually attainable only with experiments.
• The design permits the measurement of differences or change in a variable from one period to another [i.e., the description of patterns of change over time].
• Longitudinal studies facilitate the prediction of future outcomes based upon earlier factors.
• The data collection method may change over time.
• Maintaining the integrity of the original sample can be difficult over an extended period of time.
• It can be difficult to show more than one variable at a time.
• This design often needs qualitative research data to explain fluctuations in the results.
• A longitudinal research design assumes present trends will continue unchanged.
• It can take a long period of time to gather results.
• There is a need to have a large sample size and accurate sampling to reach representativness.

Anastas, Jeane W. Research Design for Social Work and the Human Services . Chapter 6, Flexible Methods: Relational and Longitudinal Research. 2nd ed. New York: Columbia University Press, 1999; Forgues, Bernard, and Isabelle Vandangeon-Derumez. "Longitudinal Analyses." In Doing Management Research . Raymond-Alain Thiétart and Samantha Wauchope, editors. (London, England: Sage, 2001), pp. 332-351; Kalaian, Sema A. and Rafa M. Kasim. "Longitudinal Studies." In Encyclopedia of Survey Research Methods . Paul J. Lavrakas, ed. (Thousand Oaks, CA: Sage, 2008), pp. 440-441; Menard, Scott, editor. Longitudinal Research . Thousand Oaks, CA: Sage, 2002; Ployhart, Robert E. and Robert J. Vandenberg. "Longitudinal Research: The Theory, Design, and Analysis of Change.” Journal of Management 36 (January 2010): 94-120; Longitudinal Study. Wikipedia.

Meta-Analysis Design

Meta-analysis is an analytical methodology designed to systematically evaluate and summarize the results from a number of individual studies, thereby, increasing the overall sample size and the ability of the researcher to study effects of interest. The purpose is to not simply summarize existing knowledge, but to develop a new understanding of a research problem using synoptic reasoning. The main objectives of meta-analysis include analyzing differences in the results among studies and increasing the precision by which effects are estimated. A well-designed meta-analysis depends upon strict adherence to the criteria used for selecting studies and the availability of information in each study to properly analyze their findings. Lack of information can severely limit the type of analyzes and conclusions that can be reached. In addition, the more dissimilarity there is in the results among individual studies [heterogeneity], the more difficult it is to justify interpretations that govern a valid synopsis of results. A meta-analysis needs to fulfill the following requirements to ensure the validity of your findings:

• Clearly defined description of objectives, including precise definitions of the variables and outcomes that are being evaluated;
• A well-reasoned and well-documented justification for identification and selection of the studies;
• Assessment and explicit acknowledgment of any researcher bias in the identification and selection of those studies;
• Description and evaluation of the degree of heterogeneity among the sample size of studies reviewed; and,
• Justification of the techniques used to evaluate the studies.
• Can be an effective strategy for determining gaps in the literature.
• Provides a means of reviewing research published about a particular topic over an extended period of time and from a variety of sources.
• Is useful in clarifying what policy or programmatic actions can be justified on the basis of analyzing research results from multiple studies.
• Provides a method for overcoming small sample sizes in individual studies that previously may have had little relationship to each other.
• Can be used to generate new hypotheses or highlight research problems for future studies.
• Small violations in defining the criteria used for content analysis can lead to difficult to interpret and/or meaningless findings.
• A large sample size can yield reliable, but not necessarily valid, results.
• A lack of uniformity regarding, for example, the type of literature reviewed, how methods are applied, and how findings are measured within the sample of studies you are analyzing, can make the process of synthesis difficult to perform.
• Depending on the sample size, the process of reviewing and synthesizing multiple studies can be very time consuming.

Beck, Lewis W. "The Synoptic Method." The Journal of Philosophy 36 (1939): 337-345; Cooper, Harris, Larry V. Hedges, and Jeffrey C. Valentine, eds. The Handbook of Research Synthesis and Meta-Analysis . 2nd edition. New York: Russell Sage Foundation, 2009; Guzzo, Richard A., Susan E. Jackson and Raymond A. Katzell. “Meta-Analysis Analysis.” In Research in Organizational Behavior , Volume 9. (Greenwich, CT: JAI Press, 1987), pp 407-442; Lipsey, Mark W. and David B. Wilson. Practical Meta-Analysis . Thousand Oaks, CA: Sage Publications, 2001; Study Design 101. Meta-Analysis. The Himmelfarb Health Sciences Library, George Washington University; Timulak, Ladislav. “Qualitative Meta-Analysis.” In The SAGE Handbook of Qualitative Data Analysis . Uwe Flick, editor. (Los Angeles, CA: Sage, 2013), pp. 481-495; Walker, Esteban, Adrian V. Hernandez, and Micheal W. Kattan. "Meta-Analysis: It's Strengths and Limitations." Cleveland Clinic Journal of Medicine 75 (June 2008): 431-439.

Mixed-Method Design

• Narrative and non-textual information can add meaning to numeric data, while numeric data can add precision to narrative and non-textual information.
• Can utilize existing data while at the same time generating and testing a grounded theory approach to describe and explain the phenomenon under study.
• A broader, more complex research problem can be investigated because the researcher is not constrained by using only one method.
• The strengths of one method can be used to overcome the inherent weaknesses of another method.
• Can provide stronger, more robust evidence to support a conclusion or set of recommendations.
• May generate new knowledge new insights or uncover hidden insights, patterns, or relationships that a single methodological approach might not reveal.
• Produces more complete knowledge and understanding of the research problem that can be used to increase the generalizability of findings applied to theory or practice.
• A researcher must be proficient in understanding how to apply multiple methods to investigating a research problem as well as be proficient in optimizing how to design a study that coherently melds them together.
• Can increase the likelihood of conflicting results or ambiguous findings that inhibit drawing a valid conclusion or setting forth a recommended course of action [e.g., sample interview responses do not support existing statistical data].
• Because the research design can be very complex, reporting the findings requires a well-organized narrative, clear writing style, and precise word choice.
• Design invites collaboration among experts. However, merging different investigative approaches and writing styles requires more attention to the overall research process than studies conducted using only one methodological paradigm.
• Concurrent merging of quantitative and qualitative research requires greater attention to having adequate sample sizes, using comparable samples, and applying a consistent unit of analysis. For sequential designs where one phase of qualitative research builds on the quantitative phase or vice versa, decisions about what results from the first phase to use in the next phase, the choice of samples and estimating reasonable sample sizes for both phases, and the interpretation of results from both phases can be difficult.
• Due to multiple forms of data being collected and analyzed, this design requires extensive time and resources to carry out the multiple steps involved in data gathering and interpretation.

Burch, Patricia and Carolyn J. Heinrich. Mixed Methods for Policy Research and Program Evaluation . Thousand Oaks, CA: Sage, 2016; Creswell, John w. et al. Best Practices for Mixed Methods Research in the Health Sciences . Bethesda, MD: Office of Behavioral and Social Sciences Research, National Institutes of Health, 2010Creswell, John W. Research Design: Qualitative, Quantitative, and Mixed Methods Approaches . 4th edition. Thousand Oaks, CA: Sage Publications, 2014; Domínguez, Silvia, editor. Mixed Methods Social Networks Research . Cambridge, UK: Cambridge University Press, 2014; Hesse-Biber, Sharlene Nagy. Mixed Methods Research: Merging Theory with Practice . New York: Guilford Press, 2010; Niglas, Katrin. “How the Novice Researcher Can Make Sense of Mixed Methods Designs.” International Journal of Multiple Research Approaches 3 (2009): 34-46; Onwuegbuzie, Anthony J. and Nancy L. Leech. “Linking Research Questions to Mixed Methods Data Analysis Procedures.” The Qualitative Report 11 (September 2006): 474-498; Tashakorri, Abbas and John W. Creswell. “The New Era of Mixed Methods.” Journal of Mixed Methods Research 1 (January 2007): 3-7; Zhanga, Wanqing. “Mixed Methods Application in Health Intervention Research: A Multiple Case Study.” International Journal of Multiple Research Approaches 8 (2014): 24-35 .

Observational Design

This type of research design draws a conclusion by comparing subjects against a control group, in cases where the researcher has no control over the experiment. There are two general types of observational designs. In direct observations, people know that you are watching them. Unobtrusive measures involve any method for studying behavior where individuals do not know they are being observed. An observational study allows a useful insight into a phenomenon and avoids the ethical and practical difficulties of setting up a large and cumbersome research project.

• Observational studies are usually flexible and do not necessarily need to be structured around a hypothesis about what you expect to observe [data is emergent rather than pre-existing].
• The researcher is able to collect in-depth information about a particular behavior.
• Can reveal interrelationships among multifaceted dimensions of group interactions.
• You can generalize your results to real life situations.
• Observational research is useful for discovering what variables may be important before applying other methods like experiments.
• Observation research designs account for the complexity of group behaviors.
• Reliability of data is low because seeing behaviors occur over and over again may be a time consuming task and are difficult to replicate.
• In observational research, findings may only reflect a unique sample population and, thus, cannot be generalized to other groups.
• There can be problems with bias as the researcher may only "see what they want to see."
• There is no possibility to determine "cause and effect" relationships since nothing is manipulated.
• Sources or subjects may not all be equally credible.
• Any group that is knowingly studied is altered to some degree by the presence of the researcher, therefore, potentially skewing any data collected.

Atkinson, Paul and Martyn Hammersley. “Ethnography and Participant Observation.” In Handbook of Qualitative Research . Norman K. Denzin and Yvonna S. Lincoln, eds. (Thousand Oaks, CA: Sage, 1994), pp. 248-261; Observational Research. Research Methods by Dummies. Department of Psychology. California State University, Fresno, 2006; Patton Michael Quinn. Qualitiative Research and Evaluation Methods . Chapter 6, Fieldwork Strategies and Observational Methods. 3rd ed. Thousand Oaks, CA: Sage, 2002; Payne, Geoff and Judy Payne. "Observation." In Key Concepts in Social Research . The SAGE Key Concepts series. (London, England: Sage, 2004), pp. 158-162; Rosenbaum, Paul R. Design of Observational Studies . New York: Springer, 2010;Williams, J. Patrick. "Nonparticipant Observation." In The Sage Encyclopedia of Qualitative Research Methods . Lisa M. Given, editor.(Thousand Oaks, CA: Sage, 2008), pp. 562-563.

Philosophical Design

Understood more as an broad approach to examining a research problem than a methodological design, philosophical analysis and argumentation is intended to challenge deeply embedded, often intractable, assumptions underpinning an area of study. This approach uses the tools of argumentation derived from philosophical traditions, concepts, models, and theories to critically explore and challenge, for example, the relevance of logic and evidence in academic debates, to analyze arguments about fundamental issues, or to discuss the root of existing discourse about a research problem. These overarching tools of analysis can be framed in three ways:

• Ontology -- the study that describes the nature of reality; for example, what is real and what is not, what is fundamental and what is derivative?
• Epistemology -- the study that explores the nature of knowledge; for example, by what means does knowledge and understanding depend upon and how can we be certain of what we know?
• Axiology -- the study of values; for example, what values does an individual or group hold and why? How are values related to interest, desire, will, experience, and means-to-end? And, what is the difference between a matter of fact and a matter of value?
• Can provide a basis for applying ethical decision-making to practice.
• Functions as a means of gaining greater self-understanding and self-knowledge about the purposes of research.
• Brings clarity to general guiding practices and principles of an individual or group.
• Philosophy informs methodology.
• Refine concepts and theories that are invoked in relatively unreflective modes of thought and discourse.
• Beyond methodology, philosophy also informs critical thinking about epistemology and the structure of reality (metaphysics).
• Offers clarity and definition to the practical and theoretical uses of terms, concepts, and ideas.
• Limited application to specific research problems [answering the "So What?" question in social science research].
• Analysis can be abstract, argumentative, and limited in its practical application to real-life issues.
• While a philosophical analysis may render problematic that which was once simple or taken-for-granted, the writing can be dense and subject to unnecessary jargon, overstatement, and/or excessive quotation and documentation.
• There are limitations in the use of metaphor as a vehicle of philosophical analysis.
• There can be analytical difficulties in moving from philosophy to advocacy and between abstract thought and application to the phenomenal world.

Burton, Dawn. "Part I, Philosophy of the Social Sciences." In Research Training for Social Scientists . (London, England: Sage, 2000), pp. 1-5; Chapter 4, Research Methodology and Design. Unisa Institutional Repository (UnisaIR), University of South Africa; Jarvie, Ian C., and Jesús Zamora-Bonilla, editors. The SAGE Handbook of the Philosophy of Social Sciences . London: Sage, 2011; Labaree, Robert V. and Ross Scimeca. “The Philosophical Problem of Truth in Librarianship.” The Library Quarterly 78 (January 2008): 43-70; Maykut, Pamela S. Beginning Qualitative Research: A Philosophic and Practical Guide . Washington, DC: Falmer Press, 1994; McLaughlin, Hugh. "The Philosophy of Social Research." In Understanding Social Work Research . 2nd edition. (London: SAGE Publications Ltd., 2012), pp. 24-47; Stanford Encyclopedia of Philosophy . Metaphysics Research Lab, CSLI, Stanford University, 2013.

Sequential Design

• The researcher has a limitless option when it comes to sample size and the sampling schedule.
• Due to the repetitive nature of this research design, minor changes and adjustments can be done during the initial parts of the study to correct and hone the research method.
• This is a useful design for exploratory studies.
• There is very little effort on the part of the researcher when performing this technique. It is generally not expensive, time consuming, or workforce intensive.
• Because the study is conducted serially, the results of one sample are known before the next sample is taken and analyzed. This provides opportunities for continuous improvement of sampling and methods of analysis.
• The sampling method is not representative of the entire population. The only possibility of approaching representativeness is when the researcher chooses to use a very large sample size significant enough to represent a significant portion of the entire population. In this case, moving on to study a second or more specific sample can be difficult.
• The design cannot be used to create conclusions and interpretations that pertain to an entire population because the sampling technique is not randomized. Generalizability from findings is, therefore, limited.
• Difficult to account for and interpret variation from one sample to another over time, particularly when using qualitative methods of data collection.

Betensky, Rebecca. Harvard University, Course Lecture Note slides; Bovaird, James A. and Kevin A. Kupzyk. "Sequential Design." In Encyclopedia of Research Design . Neil J. Salkind, editor. (Thousand Oaks, CA: Sage, 2010), pp. 1347-1352; Cresswell, John W. Et al. “Advanced Mixed-Methods Research Designs.” In Handbook of Mixed Methods in Social and Behavioral Research . Abbas Tashakkori and Charles Teddle, eds. (Thousand Oaks, CA: Sage, 2003), pp. 209-240; Henry, Gary T. "Sequential Sampling." In The SAGE Encyclopedia of Social Science Research Methods . Michael S. Lewis-Beck, Alan Bryman and Tim Futing Liao, editors. (Thousand Oaks, CA: Sage, 2004), pp. 1027-1028; Nataliya V. Ivankova. “Using Mixed-Methods Sequential Explanatory Design: From Theory to Practice.” Field Methods 18 (February 2006): 3-20; Bovaird, James A. and Kevin A. Kupzyk. “Sequential Design.” In Encyclopedia of Research Design . Neil J. Salkind, ed. Thousand Oaks, CA: Sage, 2010; Sequential Analysis. Wikipedia.

Systematic Review

• A systematic review synthesizes the findings of multiple studies related to each other by incorporating strategies of analysis and interpretation intended to reduce biases and random errors.
• The application of critical exploration, evaluation, and synthesis methods separates insignificant, unsound, or redundant research from the most salient and relevant studies worthy of reflection.
• They can be use to identify, justify, and refine hypotheses, recognize and avoid hidden problems in prior studies, and explain data inconsistencies and conflicts in data.
• Systematic reviews can be used to help policy makers formulate evidence-based guidelines and regulations.
• The use of strict, explicit, and pre-determined methods of synthesis, when applied appropriately, provide reliable estimates about the effects of interventions, evaluations, and effects related to the overarching research problem investigated by each study under review.
• Systematic reviews illuminate where knowledge or thorough understanding of a research problem is lacking and, therefore, can then be used to guide future research.
• The accepted inclusion of unpublished studies [i.e., grey literature] ensures the broadest possible way to analyze and interpret research on a topic.
• Results of the synthesis can be generalized and the findings extrapolated into the general population with more validity than most other types of studies .
• Systematic reviews do not create new knowledge per se; they are a method for synthesizing existing studies about a research problem in order to gain new insights and determine gaps in the literature.
• The way researchers have carried out their investigations [e.g., the period of time covered, number of participants, sources of data analyzed, etc.] can make it difficult to effectively synthesize studies.
• The inclusion of unpublished studies can introduce bias into the review because they may not have undergone a rigorous peer-review process prior to publication. Examples may include conference presentations or proceedings, publications from government agencies, white papers, working papers, and internal documents from organizations, and doctoral dissertations and Master's theses.

Denyer, David and David Tranfield. "Producing a Systematic Review." In The Sage Handbook of Organizational Research Methods .  David A. Buchanan and Alan Bryman, editors. ( Thousand Oaks, CA: Sage Publications, 2009), pp. 671-689; Foster, Margaret J. and Sarah T. Jewell, editors. Assembling the Pieces of a Systematic Review: A Guide for Librarians . Lanham, MD: Rowman and Littlefield, 2017; Gough, David, Sandy Oliver, James Thomas, editors. Introduction to Systematic Reviews . 2nd edition. Los Angeles, CA: Sage Publications, 2017; Gopalakrishnan, S. and P. Ganeshkumar. “Systematic Reviews and Meta-analysis: Understanding the Best Evidence in Primary Healthcare.” Journal of Family Medicine and Primary Care 2 (2013): 9-14; Gough, David, James Thomas, and Sandy Oliver. "Clarifying Differences between Review Designs and Methods." Systematic Reviews 1 (2012): 1-9; Khan, Khalid S., Regina Kunz, Jos Kleijnen, and Gerd Antes. “Five Steps to Conducting a Systematic Review.” Journal of the Royal Society of Medicine 96 (2003): 118-121; Mulrow, C. D. “Systematic Reviews: Rationale for Systematic Reviews.” BMJ 309:597 (September 1994); O'Dwyer, Linda C., and Q. Eileen Wafford. "Addressing Challenges with Systematic Review Teams through Effective Communication: A Case Report." Journal of the Medical Library Association 109 (October 2021): 643-647; Okoli, Chitu, and Kira Schabram. "A Guide to Conducting a Systematic Literature Review of Information Systems Research."  Sprouts: Working Papers on Information Systems 10 (2010); Siddaway, Andy P., Alex M. Wood, and Larry V. Hedges. "How to Do a Systematic Review: A Best Practice Guide for Conducting and Reporting Narrative Reviews, Meta-analyses, and Meta-syntheses." Annual Review of Psychology 70 (2019): 747-770; Torgerson, Carole J. “Publication Bias: The Achilles’ Heel of Systematic Reviews?” British Journal of Educational Studies 54 (March 2006): 89-102; Torgerson, Carole. Systematic Reviews . New York: Continuum, 2003.

• << Previous: Purpose of Guide
• Next: Design Flaws to Avoid >>
• Last Updated: Jun 18, 2024 10:45 AM
• URL: https://libguides.usc.edu/writingguide

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

How to write a research proposal?

Department of Anaesthesiology, Bangalore Medical College and Research Institute, Bengaluru, Karnataka, India

Devika Rani Duggappa

Writing the proposal of a research work in the present era is a challenging task due to the constantly evolving trends in the qualitative research design and the need to incorporate medical advances into the methodology. The proposal is a detailed plan or ‘blueprint’ for the intended study, and once it is completed, the research project should flow smoothly. Even today, many of the proposals at post-graduate evaluation committees and application proposals for funding are substandard. A search was conducted with keywords such as research proposal, writing proposal and qualitative using search engines, namely, PubMed and Google Scholar, and an attempt has been made to provide broad guidelines for writing a scientifically appropriate research proposal.

INTRODUCTION

A clean, well-thought-out proposal forms the backbone for the research itself and hence becomes the most important step in the process of conduct of research.[ 1 ] The objective of preparing a research proposal would be to obtain approvals from various committees including ethics committee [details under ‘Research methodology II’ section [ Table 1 ] in this issue of IJA) and to request for grants. However, there are very few universally accepted guidelines for preparation of a good quality research proposal. A search was performed with keywords such as research proposal, funding, qualitative and writing proposals using search engines, namely, PubMed, Google Scholar and Scopus.

Five ‘C’s while writing a literature review

BASIC REQUIREMENTS OF A RESEARCH PROPOSAL

A proposal needs to show how your work fits into what is already known about the topic and what new paradigm will it add to the literature, while specifying the question that the research will answer, establishing its significance, and the implications of the answer.[ 2 ] The proposal must be capable of convincing the evaluation committee about the credibility, achievability, practicality and reproducibility (repeatability) of the research design.[ 3 ] Four categories of audience with different expectations may be present in the evaluation committees, namely academic colleagues, policy-makers, practitioners and lay audiences who evaluate the research proposal. Tips for preparation of a good research proposal include; ‘be practical, be persuasive, make broader links, aim for crystal clarity and plan before you write’. A researcher must be balanced, with a realistic understanding of what can be achieved. Being persuasive implies that researcher must be able to convince other researchers, research funding agencies, educational institutions and supervisors that the research is worth getting approval. The aim of the researcher should be clearly stated in simple language that describes the research in a way that non-specialists can comprehend, without use of jargons. The proposal must not only demonstrate that it is based on an intelligent understanding of the existing literature but also show that the writer has thought about the time needed to conduct each stage of the research.[ 4 , 5 ]

CONTENTS OF A RESEARCH PROPOSAL

The contents or formats of a research proposal vary depending on the requirements of evaluation committee and are generally provided by the evaluation committee or the institution.

In general, a cover page should contain the (i) title of the proposal, (ii) name and affiliation of the researcher (principal investigator) and co-investigators, (iii) institutional affiliation (degree of the investigator and the name of institution where the study will be performed), details of contact such as phone numbers, E-mail id's and lines for signatures of investigators.

The main contents of the proposal may be presented under the following headings: (i) introduction, (ii) review of literature, (iii) aims and objectives, (iv) research design and methods, (v) ethical considerations, (vi) budget, (vii) appendices and (viii) citations.[ 4 ]

Introduction

It is also sometimes termed as ‘need for study’ or ‘abstract’. Introduction is an initial pitch of an idea; it sets the scene and puts the research in context.[ 6 ] The introduction should be designed to create interest in the reader about the topic and proposal. It should convey to the reader, what you want to do, what necessitates the study and your passion for the topic.[ 7 ] Some questions that can be used to assess the significance of the study are: (i) Who has an interest in the domain of inquiry? (ii) What do we already know about the topic? (iii) What has not been answered adequately in previous research and practice? (iv) How will this research add to knowledge, practice and policy in this area? Some of the evaluation committees, expect the last two questions, elaborated under a separate heading of ‘background and significance’.[ 8 ] Introduction should also contain the hypothesis behind the research design. If hypothesis cannot be constructed, the line of inquiry to be used in the research must be indicated.

Review of literature

It refers to all sources of scientific evidence pertaining to the topic in interest. In the present era of digitalisation and easy accessibility, there is an enormous amount of relevant data available, making it a challenge for the researcher to include all of it in his/her review.[ 9 ] It is crucial to structure this section intelligently so that the reader can grasp the argument related to your study in relation to that of other researchers, while still demonstrating to your readers that your work is original and innovative. It is preferable to summarise each article in a paragraph, highlighting the details pertinent to the topic of interest. The progression of review can move from the more general to the more focused studies, or a historical progression can be used to develop the story, without making it exhaustive.[ 1 ] Literature should include supporting data, disagreements and controversies. Five ‘C's may be kept in mind while writing a literature review[ 10 ] [ Table 1 ].

Aims and objectives

The research purpose (or goal or aim) gives a broad indication of what the researcher wishes to achieve in the research. The hypothesis to be tested can be the aim of the study. The objectives related to parameters or tools used to achieve the aim are generally categorised as primary and secondary objectives.

Research design and method

The objective here is to convince the reader that the overall research design and methods of analysis will correctly address the research problem and to impress upon the reader that the methodology/sources chosen are appropriate for the specific topic. It should be unmistakably tied to the specific aims of your study.

In this section, the methods and sources used to conduct the research must be discussed, including specific references to sites, databases, key texts or authors that will be indispensable to the project. There should be specific mention about the methodological approaches to be undertaken to gather information, about the techniques to be used to analyse it and about the tests of external validity to which researcher is committed.[ 10 , 11 ]

The components of this section include the following:[ 4 ]

Population and sample

Population refers to all the elements (individuals, objects or substances) that meet certain criteria for inclusion in a given universe,[ 12 ] and sample refers to subset of population which meets the inclusion criteria for enrolment into the study. The inclusion and exclusion criteria should be clearly defined. The details pertaining to sample size are discussed in the article “Sample size calculation: Basic priniciples” published in this issue of IJA.

Data collection

The researcher is expected to give a detailed account of the methodology adopted for collection of data, which include the time frame required for the research. The methodology should be tested for its validity and ensure that, in pursuit of achieving the results, the participant's life is not jeopardised. The author should anticipate and acknowledge any potential barrier and pitfall in carrying out the research design and explain plans to address them, thereby avoiding lacunae due to incomplete data collection. If the researcher is planning to acquire data through interviews or questionnaires, copy of the questions used for the same should be attached as an annexure with the proposal.

Rigor (soundness of the research)

This addresses the strength of the research with respect to its neutrality, consistency and applicability. Rigor must be reflected throughout the proposal.

It refers to the robustness of a research method against bias. The author should convey the measures taken to avoid bias, viz. blinding and randomisation, in an elaborate way, thus ensuring that the result obtained from the adopted method is purely as chance and not influenced by other confounding variables.

Consistency

Consistency considers whether the findings will be consistent if the inquiry was replicated with the same participants and in a similar context. This can be achieved by adopting standard and universally accepted methods and scales.

Applicability

Applicability refers to the degree to which the findings can be applied to different contexts and groups.[ 13 ]

Data analysis

This section deals with the reduction and reconstruction of data and its analysis including sample size calculation. The researcher is expected to explain the steps adopted for coding and sorting the data obtained. Various tests to be used to analyse the data for its robustness, significance should be clearly stated. Author should also mention the names of statistician and suitable software which will be used in due course of data analysis and their contribution to data analysis and sample calculation.[ 9 ]

Ethical considerations

Medical research introduces special moral and ethical problems that are not usually encountered by other researchers during data collection, and hence, the researcher should take special care in ensuring that ethical standards are met. Ethical considerations refer to the protection of the participants' rights (right to self-determination, right to privacy, right to autonomy and confidentiality, right to fair treatment and right to protection from discomfort and harm), obtaining informed consent and the institutional review process (ethical approval). The researcher needs to provide adequate information on each of these aspects.

Informed consent needs to be obtained from the participants (details discussed in further chapters), as well as the research site and the relevant authorities.

When the researcher prepares a research budget, he/she should predict and cost all aspects of the research and then add an additional allowance for unpredictable disasters, delays and rising costs. All items in the budget should be justified.

Appendices are documents that support the proposal and application. The appendices will be specific for each proposal but documents that are usually required include informed consent form, supporting documents, questionnaires, measurement tools and patient information of the study in layman's language.

As with any scholarly research paper, you must cite the sources you used in composing your proposal. Although the words ‘references and bibliography’ are different, they are used interchangeably. It refers to all references cited in the research proposal.

Successful, qualitative research proposals should communicate the researcher's knowledge of the field and method and convey the emergent nature of the qualitative design. The proposal should follow a discernible logic from the introduction to presentation of the appendices.

Financial support and sponsorship

Conflicts of interest.

There are no conflicts of interest.

Research Design

Ai generator.

From broad assumptions to comprehensive methods of data collection, analysis, and interpretation, research plans and procedures involve various decisions and approaches which are essential in order to carefully study a specific topic. That’s why researchers should use the suitable procedures of inquiry or research designs and certain research methods of data collection, analysis, and interpretation. However, what is a research design? In this post, we will explain the main purpose of research designs, different types of research designs, steps on how to effectively write a systematic research design, the research design format and research design examples.

Research Design Definition

Research design is a crucial element when conducting a research work. Along with research approaches and research methods, research designs represent a clear perspective about research. So, these components demonstrate information in a successive way: from extensive constructions of research to the narrow procedures of methods. 

What Is a Research Design?

A research design is a type of inquiry within wide-ranging approaches in the research field such as qualitative, quantitative and mixed methods approaches. It significantly provides a certain direction for procedures in a specific research study. Also known as strategies of inquiry, there are numerous research designs accessible to many researchers that significantly guide them towards advanced data analysis and assist them in examining complex models. 

Research Design Examples

1. Experimental Design

• Example : A pharmaceutical company tests a new drug by giving it to one group and a placebo to another under controlled conditions to observe the effects on illness recovery rates.

2. Quasi-Experimental Design

• Example : A school implements a new teaching method in some classes but not others and compares the academic performance of students across these classes to assess the method’s effectiveness.

3. Cross-Sectional Design

• Example : A market research company surveys 1,000 smartphone users at one point in time to determine consumer preferences for mobile phone brands.

4. Longitudinal Study

• Example : A university research project tracks the same group of students from enrollment through graduation to study changes in their academic performance and social behaviors over the years.

5. Case Study

• Example : A business analyst conducts a detailed study on a single company that successfully pivoted its business model during a financial downturn, to understand the strategies and factors that led to its recovery.

6. Comparative Study

• Example : A researcher compares the healthcare systems of two countries to evaluate the impact of policy differences on patient outcomes.

7. Correlational Study

• Example : A psychologist studies the relationship between social media usage and self-esteem by measuring both variables among a group of teenagers.

8. Ethnography

• Example : An anthropologist lives within a remote tribe for a year to observe and report on their cultural practices and social interactions.

9. Phenomenology

• Example : A study focuses on a group of survivors from a natural disaster, exploring their personal experiences and emotional responses to understand their coping mechanisms.

10. Grounded Theory

• Example : Researchers collect data from various startups to develop a theory about the key factors that contribute to entrepreneurial success in the tech industry.

11. Content Analysis

• Example : A media studies student analyzes the portrayal of gender roles in a decade’s worth of TV commercials to track changing societal attitudes.

12. Action Research

• Example : A community development organization collaborates with residents to identify and address urgent neighborhood problems, using feedback to guide project adjustments.

13. Narrative Research

• Example : A historian interviews WWII veterans to compile their war experiences into a book that explores personal narratives from the conflict.

14. Survey Research

• Example : A non-profit organization conducts a nationwide survey to gather data on public opinion regarding climate change.

15. Experimental Auction

• Example : An economist uses an experimental auction to determine how much consumers are willing to pay for organic versus non-organic produce.

16. Simulation

• Example : Engineers use computer simulations to predict the impacts of earthquake stress on building structures.

17. Field Experiment

• Example : A biologist observes behavioral changes in wildlife introduced to a newly established nature reserve compared to those in an undisturbed control area.

18. Meta-Analysis

• Example : A medical researcher combines data from several studies on drug efficacy to provide stronger evidence of its benefits and side effects.

19. Cohort Study

• Example : Public health officials follow a cohort of smokers over 20 years to study the long-term health outcomes compared to non-smokers.

20. Archival Research

• Example : A scholar accesses old political documents and speeches to analyze patterns of rhetoric used by leaders during critical historical events.

Main Purpose of Research Designs

The main purpose of research designs is to guide you in terms of analyzing various complex models and articulating new procedures for conducting any types of research fields like in social science research. Medical researchers, field researchers, academic researchers, scientific researchers, academic  researchers and other kinds of researchers use research designs to properly conduct their research projects as they consciously structure their research work in order to answer the key research questions which guide the overall research study and the appropriate hypothesis. Additionally, a research design provides essential information about the parts of the research study methods like data collection, instrumentation selection, participant recruitment and analysis.

Types of Research Designs

Case study research design.

As an in-depth study of a specific research issue, a case study research design is commonly used to narrow down a very far-reaching field of research into one or a few easily researchable examples. It is a beneficial type of research design  for testing whether a certain theory and model really applies to phenomena in the real world. So, it means that researchers  who are using a case study design can implement a variety of research methodologies and depend on multiple collections of sources to examine a research problem.

Descriptive Research Design

A descriptive research design is a type of research design that assists in providing answers to the key questions of what, when, who, where, and how related with a  specific research problem. However, it does not conclusively ensure answers to why questions. Being used to acquire important details about the current status of the phenomena, this research design clearly describes what exists based on the variables or conditions in a particular situation. So, this means researchers use this research design to observe a certain subject matter in a completely natural and constant natural environment. Additionally, it acts as a pre-cursor towards more quantitative research designs.

Causal Research Design

Researchers use a type of research design called causal design to measure what kind of impact a certain change will have on current norms and assumptions.  It is used to narrow down the cause and effect relationship easily by ensuring that both variables are not influenced by any force other than each other. A causal research design is used to maintain accuracy in the variables and determine the exact impact that a particular variable has on another variable. Applying this research design also explores the connection between two matters. 

Correlational Research Design

When it comes to setting up the statistical pattern between two clearly interconnected variables, researchers use a type of research design called correlational research design as it refers to a non-experimental method in research work that conducts studies on the relationships between two variables by utilizing statistical analysis. This is a fundamental research design in order to test specific relationships between categorical or quantitative variables without the manipulation of an independent variable. Simply, correlational research aims at observing and measuring historical patterns between two variables. 

Cross-Sectional Research Design

A cross-sectional research design is used by researchers to collect data only once and examine a certain population at a single point in time by having a slice or cross-section of a particular group and variables being documented for each participant. Researchers and other investigators measure the outcome and the exposures in the participants of the research study at similar time. The participants in a cross-sectional research study are simply chosen according to the exclusion and inclusion criteria being established for the study. Also, this type of research design is important for carrying out population-based surveys and assessing the prevalence of certain matters like diseases in clinic-based samples. 

Diagnostic Research Design

Composed of major research phases such as problem inception, problem diagnosis and problem solution, a diagnostic research design is a type of research design used by researchers to make a clear evaluation of a certain problem or phenomenon’s cause. If the researchers need to fully understand the factors and other essential aspects that are generating concerns and issues inside the company or organization in detail, they should use a diagnostic research design. Carrying out a diagnostic research design allows them to know exactly the time when the issue appears, the underlying cause of the issues, potential influences of the issue which lead to its worsening, and the effective solutions for the issue. 

Factorial Research Design

Researchers use a factorial research design to investigate the major effects of two or more individual  independent variables in a simultaneous way, and to allow them to recognize interactions among variables. When the effects of one variable differ based on the levels of another variable, an interaction is made and these interactions can only be recognized when the variables are combined and investigated. If you need to yield valid conclusions over a wide array of experimental conditions, use a factorial research design to estimate the effects of a factor based on various levels of the other factors.

Historical Research Design

A historical research design is a type of research design that provides a fundamental context for understanding our modern society while informing global concepts like foregin policy development. Researchers use this research design to guide them when it comes to analyzing the past events, developing new concepts, examining the previous information or events to test their validity, and formulating logical decisions that impact our society, economy, and culture. Typically, they collect, verify and synthesize evidence from the past to build facts that defend or refute a hypothesis. Thus, a historical research design involves the comprehensive study and analysis of data about past events, developments and other experiences. 

Action Research Design

In order to promote iterative learning, comprehensive evaluation and improvement, many researchers and other professionals use action research design especially teachers, professors and other key individuals working in schools or in the education sector. With this design, they can collect sufficient information about current programs and outcomes so that they are able to analyze the collected information, develop a cohesive plan to improve it, collect changes after a new plan is carried out, and produce conclusions based on the improvements. So, professionals who use an action research design focus on operational or technical, collaboration, critical reflection, and transformative change of their own process of taking action and conducting research. 

Legal Research Design

A legal research design is commonly used by researchers working in the legal sector as they carefully identify and retrieve information which are crucial to support in their legal decision-making process. Legal researchers develop a research plan, consult primary and secondary sources, expand and update primary law and analyze and organize results. There are two types of legal research: doctrinal or non-empirical research and non-doctrinal or empirical methods. 

Longitudinal Research Design

Use a longitudinal research design if you need to investigate similar individuals repeatedly so that you can determine any changes that might happen over a period of time. Researchers apply this type of research design in order to observe and gather adequate data on a number of variables without trying to affect those variables. Most generally used in economics, epidemiology and medicine, longitudinal research design is also used in social sciences and other scientific fields. It is also the opposite of a cross-sectional research design. Implementing this design can help researchers to follow their subjects in real time and allow repeated observations of the same individual over time.

Marketing Research Design

In marketing research design, business professionals such as project managers, content marketing specialists, sales and marketing experts and brand managers use marketing research questionnaires to collect information and clearly understand the intended audience or target market of a business firm or an organization. This type of research design will significantly assist them in developing industry and market analysis and designing worthwhile products, enhancing user experience, and designing an effective marketing strategy that fully engages quality leads and elevates conversion rates.

Narrative Research Design

If you need to focus on studying a specific person, you may use a narrative research design which refers to writing narratives about the experiences of individuals, telling a life experience, and explaining the meaning of the individual’s experience. Several types of narrative research design are analysis of narrative projects, collecting background information from narrative interview report , interviews and re-storying, oral history and journals and storytelling, and letter writing. To conduct narrative research, researchers need to code narrative blocks, group and read by live event, create nested story structure codes, examine the structure of the story, make comparisons and tell the main idea of the narrative research.

Experimental Research Design

As a blueprint of the research procedure, an experimental research design is used by researchers to allow them to manage and control over all aspects that may influence the outcome of an experiment. Performing a research work with this type of design helps researchers to determine or predict what may happen. Often used where there exists a time priority in a cause and effect relationship, an experimental research design is also applied when there is a consistency in a cause and effect relationship, and if there is a great magnitude of correlation. Plus, it enables researchers to provide the highest level of evidence for single studies.

Observational Research Design

In several cases where the researchers have no control over the experiment being conducted, they use an observational research design to draw a conclusion after making a comparison of subjects against a control group. With this type of research design, you can gather a depth of information about a specific behavior, show interrelationships among multidimensional aspects of group interactions, and generalize your results to real life situations. If you need to discover what kind of variables may be crucial before utilizing other research methods, use an observational research design.

Exploratory Research Design

An exploratory research design is a type of research design which is integral when it comes to investigating a specific and unclear research issue. Researchers use this research design to have an in-depth understanding of a research problem and its context prior to the further development and execution of the research process. So, an exploratory research design acts as a groundwork to facilitate research work while it manages other research concerns which have not been sufficiently investigated in the last years.  

Retrospective Research Design

When the outcome of interest has already taken place at the period the research study is started, researchers use a type of research design called retrospective research design which enables them to formulate ideas about potential associations and thoroughly examine possible relationships without causal statements. It is a very feasible research design in terms of scope, resources, and time. However, it cannot yield causal effects due to the absence of random assignment and random selection. Still, researchers can use this design because it is less expensive to conduct and can be used immediately.

Cohort Research Design

If you need to conduct a study over a time period which involves members of a population that the subject originated from, and united by some similarity, you must use a cohort research design as it guides you in analyzing the statistical occurrence within a specialized subgroup which is united by similar characteristics linked to the research problem. Researchers are able to measure possible causes prior to the result having taken place and show that these causes preceded the result. Also, it can provide clear insight into effects over time and is linked to a wide range of diverse cultural, economic, social, and political changes. 

Meta-Analysis Research Design

Considered as an evidence-based resource with confirmatory data analysis, a meta-analysis research design is used by researchers to create statistical significance with studies that have conflicting outcomes, to generate a more appropriate estimate of effect magnitude, to bring a more in-depth analysis of risks, safety data and advantages, and to analyze subgroups with individual members that are not significant statistically. Researchers systematically integrate essential qualitative and quantitative study data from various selected research studies to draw out a single conclusion that provides greater statistical effect.

Quantitative Research Design

A quantitative research design is a type of research design used by researchers to explore and investigate how many people act, feel, think or feel in a specific manner. As the major research design in the social sciences and other fields, it is generally aimed at developing strategies, and techniques with the use of numeric patterns or a range of numeric data. Social scientists, communication researchers and other professionals bring knowledge and set up a clear understanding about certain matters in the social environment and other fields. Simply, this type of research design depends on data that are being observed or measured.

Qualitative Research Design

When it comes to understanding various concepts, experiences or opinions, researchers use a qualitative research design through a collection and in-depth analysis of non-numerical data like a, text or video. Also, they use this type of research design to collect comprehensive insights into a problem or form new ideas for their research study. Generally used in the humanities and social sciences like anthropology, education, health sciences and others, qualitative research design is used to clearly understand people’s experiences and focus on meaningful data interpretation. 

Mixed Method Research Design

A mixed methods research design is a type of research design when the researchers and other professionals collect, analyze, and mix both quantitative and qualitative research and methods in a single study so that they can easily understand a certain research problem. To execute this design properly, you need to understand both quantitative and qualitative research. Some major types of mixed method research design are triangulation design, embedded design, and explanatory design. 

Research Design Writing

Looking at the long list of types of research designs in this post may be overwhelming for you. It is possible to get lost from these details because these classifications are made up from various disciplines with highlighted diverse elements of research designs and many other aspects in research. Your research questions might lead you to try creating a theory and then selecting the right research design for your study. What research study would you use in that case? How will you outline your research design? 

Research Design Elements

Hypotheses and objectives.

• Hypotheses are testable predictions about the relationships between variables.
• Objectives define the purpose of the study and what the research aims to achieve.
• Independent variables are manipulated to observe their effect on dependent variables.
• Dependent variables are the outcomes measured in the experiment.
• Control variables are kept constant to ensure that any changes in the dependent variable are due to the independent variable.
• Population and Sample : The population is the entire set of individuals relevant to the research question, while the sample is a subset of the population that is studied.
• Sampling Methods : Methods like random sampling, stratified sampling, or convenience sampling dictate how participants are chosen from the population.

Data Collection Methods

• Qualitative methods such as interviews, observations, and focus groups gather non-numerical data.
• Quantitative methods such as surveys, experiments, and secondary data analysis gather numerical data.

Study Design Types

• Descriptive studies describe characteristics of the population or phenomena being studied.
• Analytical studies investigate the relationships between variables.
• Experimental designs manipulate variables to determine cause-and-effect relationships, often using control and experimental groups.

Data Analysis Techniques

• Statistical Analysis : Techniques vary depending on the nature of the data and may include descriptive statistics, inferential statistics, regression analysis, etc.
• Qualitative Analysis : Methods like thematic analysis or content analysis are used to interpret textual data.

Ethics and Reliability

• Ethical Considerations : Ensuring the confidentiality, consent, and welfare of participants.
• Reliability and Validity : Strategies to ensure that the study can be replicated and that the results truly represent what they are supposed to measure.

Research Design in Research Methodology

Research design in research methodology refers to the blueprint or framework that guides how a research project is conducted, aiming to ensure the validity and reliability of the findings. It encompasses the overall strategy and methods chosen to integrate the different components of the study in a coherent and logical manner, effectively addressing the research questions. Research design outlines the procedures for collecting, measuring, and analyzing data. It is pivotal in determining the type of evidence gathered and how it is interpreted. Types of research design include experimental, correlational, descriptive, and qualitative designs, each suited to different kinds of research questions and objectives, influencing how researchers select participants, define variables, and structure the overall study. This design process is crucial for aligning the methodology with the study’s goals, thereby enhancing the robustness and integrity of the results.

Research Design in Qualitative Research

Research design in qualitative research involves structuring the approach to explore complex phenomena by focusing on the meanings, concepts, characteristics, and descriptions of the subject matter. Unlike quantitative research, which seeks to quantify variables, qualitative research design is more flexible and adaptive, often evolving as the study progresses. It typically includes methods such as interviews, focus groups, observations, and content analysis, which allow for a deep, narrative understanding of participants’ experiences and social contexts. This type of design is oriented towards understanding “how” and “why” things happen, aiming to provide insights into human behavior, social processes, and cultural phenomena. The design in qualitative research is crucial for ensuring depth, richness, and relevance in the data collected, allowing researchers to capture the complexities of the phenomena in question. This approach requires a thoughtful integration of various elements like the research questions, the nature of the participants, the settings, and the researcher’s philosophical standpoint, all of which influence the data collection and analysis procedures.

How to Write a Research Design

Once the researchers formulate their research questions, they need to work on designing their overall research work and research investigation reports while using research designs appropriate for their respective work. When should you use a survey? Conduct experiments or perform participant observation? Need to combine several research designs? Structuring a well-coordinated research design will guide you in developing the right methods for your research goals. Here are some steps that you need to follow while writing a suitable research design for your research project:

1. Think about your specific aims and research approach.

First of all, have a clear understanding of what your research project will investigate. This will help you to properly think about what you really want to accomplish in your study.

2. Select a type of research design

There are wide-ranging types of research designs that you can select based on your research goals and objectives. Each research design gives you a framework for the overall structure of your research work.

3. Define your intended audience and sampling method

Make sure that you fully define who or what your research study will aim on, and what specific sampling method that you will use when you select your participants or subjects. Some examples of sampling methods are probability sampling and non-probability sampling.

4. Select your data collection methods

In order to effectively measure variables and gather sufficient information, you must select the one data collection method or several data collection methods like survey methods to enable you in acquiring original knowledge and comprehensive insights into your research problem. 

5. Develop a cohesive plan for your data collection methods

Next, you need to develop a systematic plan for your data collection methods so that you can accurately define your variables and make sure that you have credible and trustworthy measurements.

6. Choose the suitable data analysis strategies for your study

Lastly, you need to determine what specific data analysis strategies you will use in your research study. Read some research papers related to your research study so that you can choose the suitable data analysis strategies. 

Characteristics of Research Design

Research design is fundamental in conducting a reliable and valid study. Here are the key characteristics that define a strong research even further

• Research designs are tailored to address specific research questions or hypotheses. The design guides the methodology to ensure that the data collected is appropriate and sufficient to answer the research questions effectively.

Rigorous and Methodical

• A well-designed study follows a systematic, structured approach to ensure the integrity and quality of the research. This includes detailed planning of procedures like data collection and analysis to minimize errors and biases.

Feasibility

• The chosen design must be practical and manageable within the given resources and time constraints. It should also consider ethical issues, ensuring that the study can be conducted without undue risk to participants.

Flexibility

• While research designs must be structured, they should also allow for adjustments as new insights and conditions arise during the study, provided these changes do not compromise the study’s objectives.

Replicability

• A robust research design can be replicated by other researchers, which helps in validating the findings through repeated studies in similar or varying contexts.

Specificity

• Research designs should be specific enough to clearly define the population, variables, methods of data collection, and methods of analysis. This clarity is crucial for the validity and reliability of the study.
• Research designs often include mechanisms to control for variables that could influence the outcomes. In experimental designs, for example, this could mean controlling the environment or randomizing subjects to different groups to ensure that the results are due to the intervention and not other factors.

Validity and Reliability

• Ensuring the research measures what it intends to measure (validity) and can produce consistent results under consistent conditions (reliability) are critical aspects of research design.
• All research designs must incorporate ethical considerations to protect participants from harm, ensure confidentiality, and promote integrity in the research process.

Resource Efficient

• Effective research designs make optimal use of available resources, including time, money, and personnel, to achieve the research objectives without unnecessary expenditure.

Research Design Format

Research Goals and Purpose Statement: While formulating your research question, set your specific research goals and purpose while highlighting your priorities for your research design. Every research study has diverse priorities that’s why you need to clarify your exact aims and purpose in your research study.

Research Data Type: Indicate what specific type of research data essential for your research study. Consider your research questions and hypotheses so that you can choose the right research data type. Some examples of research data types are primary data, secondary data, qualitative data, and quantitative data.

Data Collection Methods: Determine the research data collection method that you will use in your study so that you are able to address your research problem. Research methods such as procedures, materials, tools, and techniques are commonly used for research studies. 

Data Analysis Procedure: Select the proper data analysis procedure for the design of your research study. You can use a quantitative data analysis or qualitative data analysis based on your needs and preferences.

Benefits of Research Design

A well-crafted research design is crucial for the success of any scientific study. It provides a structured approach to investigate research questions and ensures that the findings are valid and applicable. Here are the key benefits:

Enhances Validity

• Internal Validity : Good research design controls for confounding variables, ensuring that the observed effects are due to the independent variables.
• External Validity : It allows findings to be generalized to other settings or populations, enhancing the broader applicability of the research.

Increases Reliability

• Consistency : A structured design helps ensure that the study can be reliably reproduced under similar conditions, which is fundamental for building trust in the findings.
• Accuracy : Precision in the design helps in minimizing errors and biases, providing more accurate results.

Facilitates Data Collection

• Efficiency : Efficient design reduces the resources (time, cost, effort) required to conduct the study.
• Appropriateness : It ensures that the chosen methods and techniques are suitable for the research question and objectives, thereby optimizing data collection.

Supports Objective Analysis

• Reduces Bias : A good design minimizes the researcher’s biases by using blinded assessments, randomized allocations, etc.
• Statistical Power : Proper design increases the likelihood that the study will detect any true effects of the variables being tested, thereby preventing false negatives.

Enhances Ethical Integrity

• Protects Participants : Ensures that the research adheres to ethical standards, protecting participants’ rights and well-being.
• Moral Responsibility : Promotes transparency and accountability in research, fostering trust among participants and the public.

Improves Decision Making

• Informed Decisions : The findings from a well-designed study provide robust evidence that can inform policy-making, clinical practices, and other decision-making processes.
• Problem Solving : Helps identify effective interventions and solutions by clearly demonstrating what works, what doesn’t, and under what conditions.

Guides Future Research

• Foundation for Further Studies : Establishes a solid basis for future research, indicating potential new areas to explore or methodological improvements to consider.
• Contributes to Theory : Helps in building or testing theoretical frameworks, contributing to the overall knowledge and understanding of a particular discipline.

What is research design?

Research design is a structured framework that guides the collection and analysis of data for a research project.

Why is research data design important?

Effective research design ensures accurate, reliable data collection and analysis, leading to valid conclusions.

What are the types of research designs?

Common types include experimental, correlational, and observational research designs.

How does research design affect reliability?

A well-structured research design enhances the reliability of the findings by minimizing biases and errors.

What is the difference between qualitative and quantitative research designs?

Qualitative research designs explore phenomena in-depth, while quantitative designs quantify data and often involve statistical analysis.

How do you choose a research design?

Choose based on the research question, objectives, and the nature of the data required.

What is a case study in research design?

A case yet study involves an in-depth investigation of a single subject or entity to uncover unique insights.

How does a cohort study design work?

A cohort study design follows a group sharing a common characteristic over time to assess outcomes.

What is the significance of a cross-sectional study design?

Cross-sectional studies analyze data from a population at a specific point in time to identify patterns and correlations.

How can a research design be ethical?

Ensure informed consent, confidentiality, and transparency to uphold the ethical standards of research.

Text prompt

• Instructive
• Professional

10 Examples of Public speaking

20 Examples of Gas lighting

A design-led approach to embracing an ecosystem strategy

Business leaders around the world are increasingly turning to the ecosystem business model to achieve top-line goals such as growing core businesses, generating revenues from new products and services, and creating new value pools. The appeal of ecosystems—interconnected sets of services through which users can fulfill a variety of cross-sectoral needs in one integrated experience—has only grown as the global pandemic accelerated consumers’ migration to digital. Consumers are embracing this shift , with 71 percent saying they’re ready for integrated ecosystems.

Indeed, by 2030 the integrated network economy could account for 25 percent of the total economy —up from 1 to 2 percent today—with global revenues of $70 trillion (Exhibit 1). A fringe topic just a few years ago, the ecosystem model is increasingly important and relevant. Customer demand is clear and measurable. Many companies of all sizes and industries have started developing cross-sector ecosystem offerings, and the financial markets have acknowledged the power of ecosystem plays.

However, shifting to—and monetizing—an ecosystem strategy is not easy. Recent McKinsey research  reveals that only 50 percent of companies report even limited early success with their ecosystem plays; only roughly 10 percent are generating significant revenue. Creating interconnected services that fulfill user needs across a variety of sectors is a complex endeavor that demands not just a cohesive strategy but also a design-led approach.

This article describes the three phases of ecosystem adoption—define the strategy, design the ecosystem, and build the ecosystem—and articulates the benefits of design-led thinking during each phase. It includes an example of a grocery retailer that used an ecosystem model to expand into additional consumer sectors, thus staving off competitive threats and creating new sources of value.

A design-led approach to ecosystem planning

The importance of design in business decision making , especially for achieving large, ambitious goals, is well established. Organizations that use design as a strategic tool to develop intuitive products and experiences that meet customer needs have leapfrogged their peers . With design embedded into their culture, they can continually innovate at scale .

Pursuing an ecosystem strategy is a long-term initiative comprising three phases: define the ecosystem strategy, design the ecosystem, and build the ecosystem. Each phase benefits from design disciplines such as design research, interaction design, user-interface design, and, perhaps most notably, service design. Indeed, it is only through thoughtful, innovative service design that a company can ensure its ecosystem transcends each industry sector to become a truly connected business from front to back.

Define the ecosystem strategy

Many business leaders don’t know how to select the ecosystems, or how to identify those opportunities with the highest value. Shaping the ecosystem strategy requires focused, design-led work in three areas:

Identify the most relevant trends. A mix of social, economic, and technological trends influence how consumers behave and what they need and want from their products and services. Forecasting is a powerful tool for understanding where these trends are headed. Designers can use trend forecasts to develop scenarios that envision how consumers across sectors and markets are likely to respond to changes, and how the company could expand its products and services beyond the core to better connect with consumers and serve them. Because they tend to be adept at divergent and convergent thinking, designers offer distinct value in these exercises and can help find innovative, expansive solutions.

Plan a desirable ecosystem and identify the value pools. An ecosystem strategy should focus on high-growth areas that align with the organization’s business ambitions and capabilities. Design-research methods such as ethnographic studies, coupled with quantitative research—for instance, market sizing and value-pool analysis—can help the company home in on the use cases, customer segments, and new products and services with the highest value, and assess whether it can address them.

Tightly define the core value proposition. When shifting to ecosystems, many organizations fail to leverage their distinctive advantages to crystallize the specific customer-value proposition. The most distinctive propositions sit at the convergence of customer data, market trends, customer experience, business ambition, and vision. A series of design-facilitated co-creation sessions that put all of these considerations on the table can be helpful in generating a list of potential propositions. Notably, these propositions should not be limited to a channel or market; rather, they should reflect consumer behavior trends that cut across sectors. The next step is to evaluate each potential value proposition on the basis of current business capabilities, customer needs, and growth potential. From there, business leaders can choose the core value proposition for their ecosystems, including estimates of their value.

Would you like to learn more about McKinsey Design ?

Design the ecosystem.

The new ecosystem design will need to start with the customer’s view and deliver on the agreed-upon value proposition and experience. To achieve this, organizations can consider three domains: consumers, sectors and partners, and products and services. Design has a central role to play in each.

Consumers. Having placed bets on how consumer behavior will shift in the future, the company can then design its ecosystem. Mapping journeys is a bedrock design activity that helps organizations envision the experience from the vantage of consumers. Each journey is designed as an interconnected end-to-end experience.

Designing the service blueprint dovetails with journey mapping, which displays step by step within and across channels how the ecosystem will operate from the perspective of the consumer, business operations, and employees. It also describes the shifts the company will need to make—for example, investing in new digital capabilities—and the partnerships it will need to forge to support the ecosystem. The company will also need to define the financial shifts required to support its transition to ecosystems. Designing a successful ecosystem takes discipline and restraint. An ecosystem offering that cuts across too many segments without a clear value proposition can appear generic and watered down. Trying to win everything is impossible; to truly move the needle, focus on a smaller segment first.

Sectors and partners. An ecosystem is cross-sectoral by definition, enabling consumers to navigate from one type of service, such as buying groceries, to a distinctly different one, such as buying insurance (see sidebar, “Creating value across all sectors”). It falls to designers to identify consumers’ needs and create a journey that they can easily navigate. A well-designed, seamless experience masks the complexity that went into creating it and reflects the creativity and innovative mindset of the designers.

Creating value across all sectors

A large retailer was experiencing disruption across all of its core grocery offerings from incumbents, retail start-ups, and tech companies. In response, it opted to expand beyond its core into adjacent consumer sectors including apparel, healthcare, and insurance. It needed a strategy and operating model that would not only protect it from encroaching competition but also support customer retention across the board and promote continual innovation. It settled on a customer-centric ecosystem approach that created value across all its sectors (exhibit).

Each core journey will address how these cross-sectoral experiences will unfold on the front and back end. In the case of the grocery retailer, the journey design reflects how a customer seamlessly buys groceries, discovers an insurance offering, gets prequalified, and applies for insurance. But designing for the overall experience is equally important. For example, a holistic customer-engagement and loyalty program may enable customers to earn points that can be aggregated and used within any sector included in the ecosystem. Finally, these cross-sectoral propositions will likely include a complex set of partner relationships, and designers can help to visualize how those relationships develop.

Products and services. Having laid the groundwork—with research, customer interviews, journey mapping, blueprints, and so on—the company can turn its attention to its connected products or services, whether they are physical, digital, or a combination of the two. This connectedness, which is fundamental to the ecosystem model, could be designed as a “super app,” a digital platform, or a suite of offerings.

Before building out the offering, the company should rigorously test the concept with target customers—and with each business leader who has ownership in the proposition—to crystallize the end-to-end journey and the partner network, along with the capabilities, back-end architecture, and operating model needed to support it internally. Given the scale of the undertaking, a team of designers, product owners, and operational experts will then develop a detailed road map for building out the offering, allowing the organization to enter the market quickly and capture the opportunity before others.

Build the ecosystem

To achieve success with ecosystems, it is crucial to create a flexible and agile operating model that is capable of not only continually rolling out new solutions but also managing the entire portfolio of value propositions by addressing failures, branching out into new areas, and pivoting the focus along the way. This requires a number of cultural shifts.

One cultural shift may entail including design leaders in the transformation process from the outset. Isolating designers in a design-only team naturally creates silos and barriers to creativity and innovation. Bringing designers together with business strategists, developers, and product owners to collectively solve problems and shape solutions leads to superior results .

Additionally, a new governance model can help ensure that design is truly integrated into the ecosystem operating model. It can clarify design roles, methods, and activities from strategy to ongoing delivery, outlining expected outcomes at each stage. It can also detail the consequences of sidestepping design by, for example, failing to conduct customer research before choosing a value proposition, mapping journeys that are not interconnected, or preparing blueprints that don’t fully reflect back-end activities (Exhibit 2). Design role models and organization leaders need to continually reinforce the governance model and promote the value of a design-led ecosystem with ongoing training and education.

As we slowly rebound from the pandemic, businesses will likely continue to pursue growth and innovation with a shift to ecosystems, designing new products and services and omnichannel experiences that engage customers in novel ways. As more of these offerings go digital, companies can only achieve true differentiation by embedding customer centricity, design principles, and a spirit of experimentation across their organizations. The bar for ecosystem success will only get higher from here, challenging participants to marshal all their resources to come out on top.

Niharika Hariharan Joshi is an alumna of McKinsey’s London office, where Hamza Khan is a partner, and Istvan Rab is an associate partner in the Budapest office.

Explore a career with us

Related articles.

The business value of design

Five Fifty: Leading by design

Information

• Author Services

Initiatives

You are accessing a machine-readable page. In order to be human-readable, please install an RSS reader.

All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess .

Feature papers represent the most advanced research with significant potential for high impact in the field. A Feature Paper should be a substantial original Article that involves several techniques or approaches, provides an outlook for future research directions and describes possible research applications.

Feature papers are submitted upon individual invitation or recommendation by the scientific editors and must receive positive feedback from the reviewers.

Editor’s Choice articles are based on recommendations by the scientific editors of MDPI journals from around the world. Editors select a small number of articles recently published in the journal that they believe will be particularly interesting to readers, or important in the respective research area. The aim is to provide a snapshot of some of the most exciting work published in the various research areas of the journal.

Original Submission Date Received: .

• Active Journals
• Find a Journal
• Proceedings Series
• For Authors
• For Reviewers
• For Editors
• For Librarians
• For Publishers
• For Societies
• For Conference Organizers
• Open Access Policy
• Institutional Open Access Program
• Special Issues Guidelines
• Editorial Process
• Research and Publication Ethics
• Article Processing Charges
• Testimonials
• Preprints.org
• SciProfiles
• Encyclopedia

Article Menu

• Subscribe SciFeed
• Google Scholar
• on Google Scholar
• Table of Contents

Find support for a specific problem in the support section of our website.

Please let us know what you think of our products and services.

Visit our dedicated information section to learn more about MDPI.

JSmol Viewer

Gender, immunological response, and covid-19: an assessment of vaccine strategies in a pandemic region of oaxaca, méxico.

1. Introduction

2. materials and methods, 2.1. study population, inclusion criteria, and vaccines, 2.2. sample collection, 2.3. the enzyme-linked immunosorbent assay (elisa), 2.4. statistical analysis, 4. discussion, 5. conclusions, author contributions, institutional review board statement, informed consent statement, data availability statement, acknowledgments, conflicts of interest.

• Harvey, W.T.; Carabelli, A.M.; Jackson, B.; Gupta, R.K.; Thomson, E.C.; Harrison, E.M.; Ludden, C.; Reeve, R.; Rambaut, A.; Peacock, S.J.; et al. SARS-CoV-2 variants, spike mutations and immune escape. Nat. Rev. Microbiol. 2021 , 19 , 409–424. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Noureddine, F.Y.; Chakkour, M.; El Roz, A.; Reda, J.; Al Sahily, R.; Assi, A.; Joma, M.; Salami, H.; Hashem, S.J.; Harb, B.; et al. The Emergence of SARS-CoV-2 Variant(s) and Its Impact on the Prevalence of COVID-19 Cases in the Nabatieh Region, Lebanon. Med. Sci. 2021 , 9 , 40. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Chen, L.; Xu, F.; Han, Z.; Tang, K.; Hui, P.; Evans, J.; Li, Y. Strategic COVID-19 vaccine distribution can simultaneously elevate social utility and equity. Nat. Hum. Behav. 2022 , 6 , 1503–1514. [ Google Scholar ] [ CrossRef ]
• Paltiel, A.D.; Schwartz, J.L.; Zheng, A.; Walensky, R.P. Clinical Outcomes of a COVID-19 Vaccine: Implementation over Efficacy. Health Aff. 2021 , 40 , 42. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Fajar, J.K.; Sallam, M.; Soegiarto, G.; Sugiri, Y.J.; Anshory, M.; Wulandari, L.; Kosasih, S.A.P.; Ilmawan, M.; Kusnaeni, K.; Fikri, M.; et al. Global Prevalence and Potential Influencing Factors of COVID-19 Vaccination Hesitancy: A Meta-Analysis. Vaccines 2022 , 10 , 1356. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Fergie, J.; Moran, M.M.; Cane, A.; Pather, S.; Türeci, O.; Srivastava, A. COVID-19 Epidemiology, Immunity, and Vaccine Development in Children: A Review. Vaccines 2022 , 10 , 2039. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Tian, W.; Ren, X.; Han, M.; Zhang, Y.; Gao, X.; Chen, Z.; Zhang, W. Epidemiological and clinical characteristics of vaccinated COVID-19 patients: A meta-analysis and systematic review. Int. J. Immunopathol. Pharmacol. 2022 , 36 . [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Makhoul, M.; Ayoub, H.H.; Chemaitelly, H.; Seedat, S.; Mumtaz, G.R.; Al-Omari, S.; Abu-Raddad, L.J. Epidemiological Impact of SARS-CoV-2 Vaccination: Mathematical Modeling Analyses. Vaccines 2020 , 8 , 668. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Alhinai, Z.; Park, S.; Choe, Y.J.; Michelow, I.C. A global epidemiological analysis of COVID-19 vaccine types and clinical outcomes. Int. J. Infect. Dis. 2022 , 124 , 206–211. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Saad-Roy, C.M.; Morris, S.E.; Metcalf, C.J.E.; Mina, M.J.; Baker, R.E.; Farrar, J.; Holmes, E.C.; Pybus, O.G.; Graham, A.L.; Levin, S.A.; et al. Epidemiological and evolutionary considerations of SARS-CoV-2 vaccine dosing regimes. Science 2021 , 372 , 363–370. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Corey, K.B.; Koo, G.; Phillips, E.J. Adverse Events and Safety of SARS-CoV-2 Vaccines: What’s New and What’s Next. J. Allergy Clin. Immunol. Pract. 2022 , 10 , 2254. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Firouzabadi, N.; Ghasemiyeh, P.; Moradishooli, F.; Mohammadi-Samani, S. Update on the effectiveness of COVID-19 vaccines on different variants of SARS-CoV-2. Int. Immunopharmacol. 2023 , 117 , 109968. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Apio, C.; Han, K.; Heo, G.; Park, T. A statistical look at the COVID-19 vaccine development and vaccine policies. Front. Public Health 2022 , 10 , 1048062. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Stefanelli, P.; Rezza, G. COVID-19 Vaccination Strategies and Their Adaptation to the Emergence of SARS-CoV-2 Variants. Vaccines 2022 , 10 , 905. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Huespe, I.A.; Ferraris, A.; Lalueza, A.; Valdez, P.R.; Peroni, M.L.; Cayetti, L.A.; Mirofsky, M.A.; Boietti, B.; Gómez-Huelgas, R.; Casas-Rojo, J.M.; et al. COVID-19 vaccines reduce mortality in hospitalized patients with oxygen requirements: Differences between vaccine subtypes. A multicontinental cohort study. J. Med. Virol. 2023 , 95 , e28786. [ Google Scholar ] [ CrossRef ]
• Rahmani, K.; Shavaleh, R.; Forouhi, M.; Disfani, H.F.; Kamandi, M.; Oskooi, R.K.; Foogerdi, M.; Soltani, M.; Rahchamani, M.; Mohaddespour, M.; et al. The effectiveness of COVID-19 vaccines in reducing the incidence, hospitalization, and mortality from COVID-19: A systematic review and meta-analysis. Front. Public Health 2022 , 10 , 873596. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Comisión Federal para la Protección contra Riesgos Sanitario. Vacunas COVID 19 Autorizadas|Comisión Federal para la Protección Contra Riesgos Sanitarios|Gobierno|gob.mx. Vacunas COVID 19 Autorizadas. 2022. Available online: https://www.gob.mx/cofepris/acciones-y-programas/vacunas-covid-19-autorizadas (accessed on 10th June 2024).
• Camacho-Sandoval, R.; Nieto-Patlán, A.; Carballo-Uicab, G.; Montes-Luna, A.; Jiménez-Martínez, M.C.; Vallejo-Castillo, L.; González-González, E.; Arrieta-Oliva, H.I.; Gómez-Castellano, K.; Guzmán-Bringas, O.U.; et al. Development and evaluation of a set of spike and receptor binding domain-based enzyme-linked immunosorbent assays for SARS-CoV-2 serological testing. Diagnostics 2021 , 11 , 1506. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Bonett, D.G.; Price, R.M. Adjusted Wald Confidence Interval for a Difference of Binomial Proportions Based on Paired Data. J. Educ. Behav. Stat. 2012 , 37 , 479–488. [ Google Scholar ] [ CrossRef ]
• Ingersoll, M.A. Sex differences shape the response to infectious diseases. PLoS Pathog. 2017 , 13 , e1006688. [ Google Scholar ] [ CrossRef ]
• Klein, S.L.; Flanagan, K.L. Sex differences in immune responses. Nat. Rev. Immunol. 2016 , 16 , 626–638. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Klein, S.L. Immune Cells Have Sex and So Should Journal Articles. Endocrinology 2012 , 153 , 2544–2550. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Vassallo, A.; Shajahan, S.; Harris, K.; Hallam, L.; Hockham, C.; Womersley, K.; Woodward, M.; Sheel, M. Sex and Gender in COVID-19 Vaccine Research: Substantial Evidence Gaps Remain. Front. Glob. Women’s Health 2021 , 2 , 761511. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Alcorta-Nuñez, F.; Pérez-Ibave, D.C.; Burciaga-Flores, C.H.; Garza, M.Á.; González-Escamilla, M.; Rodríguez-Niño, P.; González-Guerrero, J.F.; Alcorta-Garza, A.; Vidal-Gutiérrez, O.; Ramírez-Correa, G.A.; et al. SARS-CoV-2 Neutralizing Antibodies in Mexican Population: A Five Vaccine Comparison. Diagnostics 2023 , 13 , 1194. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Dagan, N.; Barda, N.; Kepten, E.; Miron, O.; Perchik, S.; Katz, M.A.; Hernán, M.A.; Lipsitch, M.; Reis, B.; Balicer, R.D. BNT162b2 mRNA Covid-19 Vaccine in a Nationwide Mass Vaccination Setting. N. Engl. J. Med. 2021 , 384 , 1412–1423. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Fernandes-Matano, L.; Salas-Lais, A.G.; Grajales-Muñiz, C.; Hernández-Ávila, M.; Garfias-Becerra, Y.O.; Rodríguez-Sepúlveda, M.C.; Segura-Sánchez, C.; Montes-Herrera, D.; Mendoza-Sánchez, D.; Angeles-Martínez, J.; et al. Longevity and Neutralizing Capacity of IgG Antibodies against SARS-CoV-2 Generated by the Application of BNT162b2, AZD1222, Convidecia, Sputnik V, and CoronaVac Vaccines: A Cohort Study in the Mexican Population. Microbiol. Spectr. 2023 , 11 , e02376-22. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Abufares, H.I.; Oyoun Alsoud, L.; Alqudah, M.A.Y.; Shara, M.; Soares, N.C.; Alzoubi, K.H.; El-Huneidi, W.; Bustanji, Y.; Soliman, S.S.M.; Semreen, M.H. COVID-19 Vaccines, Effectiveness, and Immune Responses. Int. J. Mol. Sci. 2022 , 23 , 15415. [ Google Scholar ] [ CrossRef ]
• Sadarangani, M.; Abu Raya, B.; Conway, J.M.; Iyaniwura, S.A.; Falcao, R.C.; Colijn, C.; Coombs, D.; Gantt, S. Importance of COVID-19 vaccine efficacy in older age groups. Vaccine 2021 , 39 , 2020–2023. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Li, Z.; Liu, S.; Li, F.; Li, Y.; Li, Y.; Peng, P.; Li, S.; He, L.; Liu, T. Efficacy, immunogenicity and safety of COVID-19 vaccines in older adults: A systematic review and meta-analysis. Front. Immunol. 2022 , 13 , 965971. [ Google Scholar ] [ CrossRef ]
• Mwimanzi, F.; Lapointe, H.R.; Cheung, P.K.; Sang, Y.; Yaseen, F.; Umviligihozo, G.; Kalikawe, R.; Datwani, S.; Omondi, F.H.; Burns, L.; et al. Older Adults Mount Less Durable Humoral Responses to Two Doses of COVID-19 mRNA Vaccine but Strong Initial Responses to a Third Dose. J. Infect. Dis. 2022 , 226 , 983–994. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Müller, L.; Andrée, M.; Moskorz, W.; Drexler, I.; Walotka, L.; Grothmann, R.; Ptok, J.; Hillebrandt, J.; Ritchie, A.; Rabl, D.; et al. Age-dependent Immune Response to the Biontech/Pfizer BNT162b2 Coronavirus Disease 2019 Vaccination. Clin. Infect. Dis. 2021 , 73 , 2065–2072. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Zimmermann, P.; Curtis, N. Factors That Influence the Immune Response to Vaccination. Clin. Microbiol. Rev. 2019 , 32 , e00084-18. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Diallo, A.; Carlos-Bolumbu, M.; Diallo, M.H.; Makinson, A.; Galtier, F. Efficacy of approved vaccines to prevent COVID-19: A systematic review and network meta-analysis of reconstructed individual patient data from randomized trials. Z. Gesundh. Wiss. 2022 , 31 , 1463–1472. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Ashrafian, F.; Bagheri Amiri, F.; Bavand, A.; Zali, M.; Sadat Larijani, M.; Ramezani, A. A Comparative Study of Immunogenicity, Antibody Persistence, and Safety of Three Different COVID-19 Boosters between Individuals with Comorbidities and the Normal Population. Vaccines 2023 , 11 , 1376. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Farid, E.; Herrera-Uribe, J.; Stevenson, N.J. The Effect of Age, Gender and Comorbidities upon SARS-CoV-2 Spike Antibody Induction after Two Doses of Sinopharm Vaccine and the Effect of a Pfizer/BioNtech Booster Vaccine. Front. Immunol. 2022 , 13 , 817597. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Singh, R.; Kang, A.; Luo, X.; Jeyanathan, M.; Gillgrass, A.; Afkhami, S.; Xing, Z. COVID-19: Current knowledge in clinical features, immunological responses, and vaccine development. FASEB J. 2021 , 35 , e21409. [ Google Scholar ] [ CrossRef ] [ PubMed ]
• Falahi, S.; Kenarkoohi, A. Host factors and vaccine efficacy: Implications for COVID-19 vaccines. J. Med. Virol. 2022 , 94 , 1330–1335. [ Google Scholar ] [ CrossRef ] [ PubMed ]

Click here to enlarge figure

Share and Cite

Rodríguez-Martínez, L.M.; Chavelas-Reyes, J.L.; Medina-Ramírez, C.F.; Cabrera-Santos, F.J.; Fernández-Santos, N.A.; Aguilar-Durán, J.A.; Pérez-Tapia, S.M.; Rodríguez-González, J.G.; Rodríguez Pérez, M.A. Gender, Immunological Response, and COVID-19: An Assessment of Vaccine Strategies in a Pandemic Region of Oaxaca, México. Microbiol. Res. 2024 , 15 , 1007-1015. https://doi.org/10.3390/microbiolres15020066

Rodríguez-Martínez LM, Chavelas-Reyes JL, Medina-Ramírez CF, Cabrera-Santos FJ, Fernández-Santos NA, Aguilar-Durán JA, Pérez-Tapia SM, Rodríguez-González JG, Rodríguez Pérez MA. Gender, Immunological Response, and COVID-19: An Assessment of Vaccine Strategies in a Pandemic Region of Oaxaca, México. Microbiology Research . 2024; 15(2):1007-1015. https://doi.org/10.3390/microbiolres15020066

Rodríguez-Martínez, Luis M., José L. Chavelas-Reyes, Carlo F. Medina-Ramírez, Francisco J. Cabrera-Santos, Nadia A. Fernández-Santos, Jesús A. Aguilar-Durán, Sonia M. Pérez-Tapia, Josefina G. Rodríguez-González, and Mario A. Rodríguez Pérez. 2024. "Gender, Immunological Response, and COVID-19: An Assessment of Vaccine Strategies in a Pandemic Region of Oaxaca, México" Microbiology Research 15, no. 2: 1007-1015. https://doi.org/10.3390/microbiolres15020066

Article Metrics

Article access statistics, further information, mdpi initiatives, follow mdpi.

Subscribe to receive issue release notifications and newsletters from MDPI journals

What’s Included: Research Proposal Template

Our free dissertation/thesis proposal template covers the core essential ingredients for a strong research proposal. It includes clear explanations of what you need to address in each section, as well as straightforward examples and links to further resources.

The research proposal template covers the following core elements:

• Introduction & background (including the research problem)
• Literature review
• Research design / methodology
• Project plan , resource requirements and risk management

The cleanly-formatted Google Doc can be downloaded as a fully editable MS Word Document (DOCX format), so you can use it as-is or convert it to LaTeX.

PS – if you’d like a high-level template for the entire thesis, you can we’ve got that too .

Research Proposal Template FAQS

What types of research proposals can this template be used for.

The proposal template follows the standard format for academic research projects, which means it will be suitable for the vast majority of dissertations and theses (especially those within the sciences), whether they are qualitative or quantitative in terms of design.

Keep in mind that the exact requirements for the introduction chapter/section will vary between universities and degree programs. These are typically minor, but it’s always a good idea to double-check your university’s requirements before you finalise your structure.

Is this template for an undergrad, Master or PhD-level proposal?

This template can be used for a research project at any level of study. Doctoral-level projects typically require the research proposal to be more extensive/comprehensive, but the structure will typically remain the same.

How long should my research proposal be?

The length of a research proposal varies by institution and subject, but as a ballpark, it’s usually between 1,500 and 3,000 words.

To be safe, it’s best to check with your university if they have any preferences or requirements in terms of minimum and maximum word count for the research propsal.

How detailed should the methodology of the proposal be?

You don’t need to go into the fine details of your methodology, but this section should be detailed enough to demonstrate that your research approach is feasible and will address your research questions effectively. Be sure to include your intended methods for data collection and analysis.

Can I include preliminary data or pilot study results in my proposal?

Generally, yes. This can strengthen your proposal by demonstrating the feasibility of your research. However, make sure that your pilot study is approved by your university before collecting any data.

Can I share this template with my friends/colleagues?

Yes, you’re welcome to share this template in its original format (no editing allowed). If you want to post about it on your blog or social media, we kindly request that you reference this page as your source.

What format is the template (DOC, PDF, PPT, etc.)?

The research proposal template is provided as a Google Doc. You can download it in MS Word format or make a copy to your Google Drive. You’re also welcome to convert it to whatever format works best for you, such as LaTeX or PDF.

Do you have templates for the other chapters?

Yes, we do. We are constantly developing our collection of free resources to help students complete their dissertations and theses. You can view all of our template resources here .

Can Grad Coach help me with my dissertation/thesis?

Yes, you’re welcome to get in touch with us to discuss our private coaching services .

Further Resources: Proposal Writing

The template provides step-by-step guidance for each section of your research proposal, but if you’d like to learn more about how to write up a high-quality research proposal, check out the rest of our free proposal-related resources:

• Research Proposal 101
• Examples of research proposals
• How To Find A Research Topic
• How To Find A Research Gap
• Developing Your Golden Thread
• How To Write A Research Proposal
• 8 Common Proposal Writing Mistakes

You can also visit the Grad Coach blog for more proposal-related resources.

If you’d prefer 1-on-1 support with your research proposal, have a look at our private coaching service , where we hold your hand through the research process, step by step.