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Top 10 Ways to Write a Survey Research Proposal with Samples and Examples

Mohammed Sameer

Research proposals are nerve-racking, notoriously challenging to write, and can skyrocket your academic career. Does that sound frightening? You bet! This blog will assist you in writing an effective survey research proposal .

The biggest challenge of actualizing a well-thought-out survey research proposal is “no funding.”

How will you persuade decision-makers to fund your research? Your quick answer: A survey research proposal template. The problem is…

You cannot just write a proposal; it must be flawless, especially now that the world has reopened and thousands of talented researchers are competing for positions.

How do you craft a proposal to help you outperform the competition? Spend 10 minutes reading this blog, and you'll know how to do it.

Before we sprint to the heart of the subject, let's establish some basics.

What is a Research Proposal?

A research proposal is a formal educational document. It outlines your research project and requests funding or agreement to supervise your project.

The primary goal of a research proposal is to explain what you intend to study and why it is worth looking into. Most research proposals are used in academia or by non-academic scientific organizations.

Of course, no two research proposals are the same, and they can vary greatly depending on your study level, field, or project specifics.

Still, there are certain general requirements that all significant proposals must meet, and the format that is non-negotiable.

Alright, we finished the theoretical part. It's time to get some practice!

Here's How to Write a Survey Research Proposal With Templates

1. write an introduction to present the subject of your research.

"Wow, I cannot wait to see how this study turns out!"

This is the type of response you want for your research proposal introduction.

How can that be accomplished? Structure your research proposal introduction around the following four key issues:

• What is the research question?
• Who is this issue important to (the general public, fellow researchers, specialized professionals, etc.)?
• What is currently known about the problem, and what key pieces of information are missing?
• Why should anyone be concerned about the outcomes?

The simplest way to write an engaging introduction to a research proposal is to use our pre-designed PPT Template.

Sample Survey Research Proposal Template

2. Explain the Context and Background

This section is optional, depending on how detailed your proposal is. It is usually added if the research problem at hand is complex. It is titled "Background and Importance" or "Rationale."

The introduction will include most of the factual background for shorter proposals.

How do you write the "Background" section of a research proposal?

• Describe the broader research area in which your project fits.
• Emphasize the gaps in existing studies and explain why they must be filled. 
• Demonstrate how your research will add to existing knowledge.
• Explain your hypothesis and its rationale.
• Determine the scope of your research (in other words, explain what the research is not about).
• Finally, showcase the significance of your research and the benefits it can provide. In other words, respond to the dreaded "So what?" question.

If your research project is technical and complex, describing the background in a separate section is especially beneficial. It makes your introduction follow a free-flowing, "significant" narrative while letting the "Background" section do the heavy lifting.

If you encounter profound scientific discoveries while conducting your research, you’ll need additional help highlighting them. Here are the top 25 scientific PPT Templates to present your new findings .

3. Provide a Detailed Literature Review

The most critical (and the most challenging) section of the entire document is tackled here. 

One in which you must demonstrate that you know everything there is to know about your subject of interest and that your research will help advance the entire field of study.

The section on Literature Review is essentially a mini-dissertation. It must follow a logical progression and present the case for your study about previous research: Explain and summarize what has already been discussed, and show that your research goes beyond that.

If there are some statistics you want to highlight here, you’ll need these 25 ways to show statistics in a presentation .

It may be difficult to discuss all the existing research on your subject in the Literature Review. In today's digital age of easy access to information, be selective about which studies or papers you include.

The difficult part? DONE. (No, it truly is.) Everything that follows is a matter of formalities and technicalities. If they're already sold onto your vision, you must show them how you intend to accomplish your goals.

4. List Your Key Aims and Objectives

This section is called "Research Questions" or "Aims and Objectives." It should be brief compared to the previous slides.

The formal requirements of the institution you're applying to dictate: 

• Whether you need to write about your goals and objectives, or 
• Formulate them as research questions.

The key to mastering this section is distinguishing between an aim, an objective, and a research question.

Here's another practical example to help you understand.

5. Outline the Research Methods and Design

The funding authorities already know what you're attempting to accomplish and have a general idea of how you intend to deliver results. This section demonstrates that you are adequately prepared (in terms of both skills and resources) to conduct the research.

The principal goal is to persuade the reader that your methods are suitable and appropriate for the specific topic.

Do you know why "specific" is in bold? It is one of the parts of a research proposal that varies the most between documents. There is an ideal methodology for every academic project, and no two research designs are alike. Check that your methodology corresponds to all of your desired outcomes.

After all, you know your project better than anyone else. You'll have to make a decision about which methods are best.

You can support your bet with an effective fact sheet you can build using these top 15 PPT Templates .

Here’s a sample template for you.

6. Discuss Ethical Considerations

No, this is not an optional step. If you're researching the vector shapes of tree leaf shadows (yes, it's a legitimate research topic), there won't be many ethical issues to consider.

However, if your research involves humans, particularly in fields such as medicine or psychology, ethical issues are bound to arise.

You must take extra precautions to protect your participants' rights, obtain their explicit consent to process data, and consult the research project with the authorities of your academic institution. For this purpose, your proposal must include detailed information on these topics.

7. Present Preliminary or Desired Implications and Contribution to Knowledge

It is the final argument in your proposal to persuade decision-makers to support your project. You've already stated what the scope of your project will be. You have described the current state of knowledge and highlighted the most significant gaps. You have told them what you want to learn and how you intend to do it.

Now, discuss the actual, measurable difference your discovery can make and how your research can impact the future of the field or even a specific niche.

8. Detail Your Budget and Funding Requirements

If you already have a supervisor (s), you should discuss this section with them. They've most likely submitted similar documents to the institution you're contacting. They can also provide insights into how much you can realistically expect to be paid.

Note: If possible, leave yourself some wiggle room and request a conditional extra allowance.

9. Provide a Timetable

Detailing a timeline in a proposal for a standalone project can help support your budget. The most common format is, as you might expect, a table. Divide your research into stages, list the actions you'll need to take at each stage in bullet points, and set tentative deadlines.

It prevents you from derailing your project.

We have an editable TOC template you can use to define your timetable.

10. End with a List of Citations

Citations in research proposals can take the form of references (which include only the pieces of literature you cited) or a bibliography (everything that you consulted for your proposal).

Double-check with them or consult your supervisor on the format.

The same is true for referencing style. Most universities in the United States use APA or Chicago Style, but each has its own set of rules and preferences. Check the list of guidelines on their website for confirmation. When in doubt, contact the head of the department with which you want to work.

Here’s an editable template you can use to include citations.

FAQs on Survey Research Proposal

What is an example of survey research.

Assume a researcher wants to learn about teenagers' eating habits. In that case, they will follow a group of teenagers for an extended period to ensure that the data gathered is reliable. A longitudinal study is frequently followed by cross-sectional survey research.

In a longitudinal study, researchers examine the same individuals repeatedly to detect any changes that may occur over time. Longitudinal studies are essentially correlational research in which researchers observe and collect data on several variables without attempting to influence them.

A cross-sectional study is a type of research design where data is collected from many people at once. In cross-sectional research, variables are observed without being influenced.

What should a survey proposal include?

The proposal should present your research methodology, with specific examples demonstrating how you will conduct your research (e.g., techniques, sample size, target populations, equipment, data analysis, etc.). Your methods could include going to specific libraries or archives, fieldwork, or conducting interviews.

What are the three types of survey research?

Most research can be classified into three types: exploratory , descriptive , and causal . Each serves a distinct purpose and can only be used in specific ways.

Exploratory Research

Any marketing or business strategy should include exploratory research. Its emphasis is on the discovery of ideas and insights rather than the collection of statistically accurate data. As a result, exploratory research is best suited as the first step in your overall research plan. It is most commonly used to define company issues, potential growth areas, alternative courses of action, and prioritizing areas that require statistical research.

Descriptive Research

Descriptive research accounts for most online surveying and is considered conclusive due to its quantitative nature. In contrast to exploratory research, descriptive research is planned and structured for the information gathered to be statistically inferred from a population.

Causal Research

Causal research, like descriptive research, is quantitative, preplanned, and structured in design. As a result, it is also regarded as conclusive research. Causal research differs from other types of research in that it attempts to explain the cause-and-effect relationship between variables. It differs from descriptive research's observational style in that it uses experimentation to determine whether a relationship is causal.

What is the aim of survey research?

Historically, survey research has included large amounts of population-based data collection. The primary goal of this type of survey research was to quickly obtain information describing the features of a large sample of individuals of interest. 

Over To You

Writing a research proposal can be difficult and time-consuming, and it's not that different from writing a thesis or dissertation.

Yes, this is our roundabout way of saying: Don't give up. Invest adequate time to complete your presentation using our actionable survey research proposal templates. When in doubt, reach out to senior researchers for assistance.

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17 Research Proposal Examples

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)

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]

• Chris Drew (PhD) https://helpfulprofessor.com/author/chris-drew-phd/ 5 Top Tips for Succeeding at University
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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 👌

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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

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• Doing Survey Research | A Step-by-Step Guide & Examples

Doing Survey Research | A Step-by-Step Guide & Examples

Published on 6 May 2022 by Shona McCombes . Revised on 10 October 2022.

Survey research means collecting information about a group of people by asking them questions and analysing the results. To conduct an effective survey, follow these six steps:

• Determine who will participate in the survey
• Decide the type of survey (mail, online, or in-person)
• Design the survey questions and layout
• Distribute the survey
• Analyse the responses
• Write up the results

Surveys are a flexible method of data collection that can be used in many different types of research .

Table of contents

What are surveys used for, step 1: define the population and sample, step 2: decide on the type of survey, step 3: design the survey questions, step 4: distribute the survey and collect responses, step 5: analyse the survey results, step 6: write up the survey results, frequently asked questions about surveys.

Surveys are used as a method of gathering data in many different fields. They are a good choice when you want to find out about the characteristics, preferences, opinions, or beliefs of a group of people.

Common uses of survey research include:

• Social research: Investigating the experiences and characteristics of different social groups
• Market research: Finding out what customers think about products, services, and companies
• Health research: Collecting data from patients about symptoms and treatments
• Politics: Measuring public opinion about parties and policies
• Psychology: Researching personality traits, preferences, and behaviours

Surveys can be used in both cross-sectional studies , where you collect data just once, and longitudinal studies , where you survey the same sample several times over an extended period.

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Before you start conducting survey research, you should already have a clear research question that defines what you want to find out. Based on this question, you need to determine exactly who you will target to participate in the survey.

Populations

The target population is the specific group of people that you want to find out about. This group can be very broad or relatively narrow. For example:

• The population of Brazil
• University students in the UK
• Second-generation immigrants in the Netherlands
• Customers of a specific company aged 18 to 24
• British transgender women over the age of 50

Your survey should aim to produce results that can be generalised to the whole population. That means you need to carefully define exactly who you want to draw conclusions about.

It’s rarely possible to survey the entire population of your research – it would be very difficult to get a response from every person in Brazil or every university student in the UK. Instead, you will usually survey a sample from the population.

The sample size depends on how big the population is. You can use an online sample calculator to work out how many responses you need.

There are many sampling methods that allow you to generalise to broad populations. In general, though, the sample should aim to be representative of the population as a whole. The larger and more representative your sample, the more valid your conclusions.

There are two main types of survey:

• A questionnaire , where a list of questions is distributed by post, online, or in person, and respondents fill it out themselves
• An interview , where the researcher asks a set of questions by phone or in person and records the responses

Which type you choose depends on the sample size and location, as well as the focus of the research.

Questionnaires

Sending out a paper survey by post is a common method of gathering demographic information (for example, in a government census of the population).

• You can easily access a large sample.
• You have some control over who is included in the sample (e.g., residents of a specific region).
• The response rate is often low.

Online surveys are a popular choice for students doing dissertation research , due to the low cost and flexibility of this method. There are many online tools available for constructing surveys, such as SurveyMonkey and Google Forms .

• You can quickly access a large sample without constraints on time or location.
• The data is easy to process and analyse.
• The anonymity and accessibility of online surveys mean you have less control over who responds.

If your research focuses on a specific location, you can distribute a written questionnaire to be completed by respondents on the spot. For example, you could approach the customers of a shopping centre or ask all students to complete a questionnaire at the end of a class.

• You can screen respondents to make sure only people in the target population are included in the sample.
• You can collect time- and location-specific data (e.g., the opinions of a shop’s weekday customers).
• The sample size will be smaller, so this method is less suitable for collecting data on broad populations.

Oral interviews are a useful method for smaller sample sizes. They allow you to gather more in-depth information on people’s opinions and preferences. You can conduct interviews by phone or in person.

• You have personal contact with respondents, so you know exactly who will be included in the sample in advance.
• You can clarify questions and ask for follow-up information when necessary.
• The lack of anonymity may cause respondents to answer less honestly, and there is more risk of researcher bias.

Like questionnaires, interviews can be used to collect quantitative data : the researcher records each response as a category or rating and statistically analyses the results. But they are more commonly used to collect qualitative data : the interviewees’ full responses are transcribed and analysed individually to gain a richer understanding of their opinions and feelings.

Next, you need to decide which questions you will ask and how you will ask them. It’s important to consider:

• The type of questions
• The content of the questions
• The phrasing of the questions
• The ordering and layout of the survey

Open-ended vs closed-ended questions

There are two main forms of survey questions: open-ended and closed-ended. Many surveys use a combination of both.

Closed-ended questions give the respondent a predetermined set of answers to choose from. A closed-ended question can include:

• A binary answer (e.g., yes/no or agree/disagree )
• A scale (e.g., a Likert scale with five points ranging from strongly agree to strongly disagree )
• A list of options with a single answer possible (e.g., age categories)
• A list of options with multiple answers possible (e.g., leisure interests)

Closed-ended questions are best for quantitative research . They provide you with numerical data that can be statistically analysed to find patterns, trends, and correlations .

Open-ended questions are best for qualitative research. This type of question has no predetermined answers to choose from. Instead, the respondent answers in their own words.

Open questions are most common in interviews, but you can also use them in questionnaires. They are often useful as follow-up questions to ask for more detailed explanations of responses to the closed questions.

The content of the survey questions

To ensure the validity and reliability of your results, you need to carefully consider each question in the survey. All questions should be narrowly focused with enough context for the respondent to answer accurately. Avoid questions that are not directly relevant to the survey’s purpose.

When constructing closed-ended questions, ensure that the options cover all possibilities. If you include a list of options that isn’t exhaustive, you can add an ‘other’ field.

Phrasing the survey questions

In terms of language, the survey questions should be as clear and precise as possible. Tailor the questions to your target population, keeping in mind their level of knowledge of the topic.

Use language that respondents will easily understand, and avoid words with vague or ambiguous meanings. Make sure your questions are phrased neutrally, with no bias towards one answer or another.

Ordering the survey questions

The questions should be arranged in a logical order. Start with easy, non-sensitive, closed-ended questions that will encourage the respondent to continue.

If the survey covers several different topics or themes, group together related questions. You can divide a questionnaire into sections to help respondents understand what is being asked in each part.

If a question refers back to or depends on the answer to a previous question, they should be placed directly next to one another.

Before you start, create a clear plan for where, when, how, and with whom you will conduct the survey. Determine in advance how many responses you require and how you will gain access to the sample.

When you are satisfied that you have created a strong research design suitable for answering your research questions, you can conduct the survey through your method of choice – by post, online, or in person.

There are many methods of analysing the results of your survey. First you have to process the data, usually with the help of a computer program to sort all the responses. You should also cleanse the data by removing incomplete or incorrectly completed responses.

If you asked open-ended questions, you will have to code the responses by assigning labels to each response and organising them into categories or themes. You can also use more qualitative methods, such as thematic analysis , which is especially suitable for analysing interviews.

Statistical analysis is usually conducted using programs like SPSS or Stata. The same set of survey data can be subject to many analyses.

Finally, when you have collected and analysed all the necessary data, you will write it up as part of your thesis, dissertation , or research paper .

In the methodology section, you describe exactly how you conducted the survey. You should explain the types of questions you used, the sampling method, when and where the survey took place, and the response rate. You can include the full questionnaire as an appendix and refer to it in the text if relevant.

Then introduce the analysis by describing how you prepared the data and the statistical methods you used to analyse it. In the results section, you summarise the key results from your analysis.

A Likert scale is a rating scale that quantitatively assesses opinions, attitudes, or behaviours. It is made up of four or more questions that measure a single attitude or trait when response scores are combined.

To use a Likert scale in a survey , you present participants with Likert-type questions or statements, and a continuum of items, usually with five or seven possible responses, to capture their degree of agreement.

Individual Likert-type questions are generally considered ordinal data , because the items have clear rank order, but don’t have an even distribution.

Overall Likert scale scores are sometimes treated as interval data. These scores are considered to have directionality and even spacing between them.

The type of data determines what statistical tests you should use to analyse your data.

A questionnaire is a data collection tool or instrument, while a survey is an overarching research method that involves collecting and analysing data from people using questionnaires.

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Survey Research: Design and Presentation

• Planning a Thesis Proposal
• Introduction to Survey Research Design
• Literature Review: Definition and Context
• Slides, Articles
• Evaluating Survey Results
• Related Library Databases

The goal of a proposal is to demonstrate that you are ready to start your research project by presenting a distinct idea, question or issue which has great interest for you, along with the method you have chosen to explore it.

The process of developing your research question is related to the literature review. As you discover more from your research, your question will be shaped by what you find.

The clarity of your idea dictates the plan for your dissertation or thesis work. 

From the University of North Texas faculty member Dr. Abraham Benavides:

Elements of a Thesis Proposal

(Adapted from the Department of Communication,  University of Washington)

Dissertation proposals vary but most share the following elements, though not necessarily in this order.

1. The Introduction

In three paragraphs to three or four pages very simply introduce your question. Use a narrative to style to engage readers.  A well-known issue in your field, controversy surrounding some texts, or the policy implications of your topic are some ways to add context to the proposal.

2. Research Questions

State your question early in your proposal. Even if you are going to restate your research questionas part of the literature review, you may wish to mention it briefly at the end of the introduction.

Make sure if you have questions which follow from your main question that this is clearly indicated. The research questions should include any boundaries you have placed on your inquiry, for instance time, place, and topics. Terms with unusual meanings should be defined. 

3. Literature Synthesis or Review

The proposal must be described within the broader body of scholarship around the topic. This is part of establishing the significance of your research. The discussion of the literature typically shows how your project will extend what’s already known.

In writing your literature review, think about the important theories and concepts related to your project and organize your discussion accordingly; you usually want to avoid a strictly chronological discussion (i.e., earliest study, next study, etc.).

What research is directly related to your topic? Discuss it thoroughly.

What literature provides context for your research? Discuss it briefly.

In your proposal you should avoid writing a genealogy of your field’s research. For instance, you don’t need to tell your committee about the development of research in the entire field in order to justify the particular project you propose. Instead, isolate the major areas of research within your field that are relevant to your project.

4. Significance of your Research Question

Good proposals leave readers with a clear understanding of the dissertation project’s overall significance. Consider the following:

• advancing theoretical understandings 
• introducing new interpretations
• analyzing the relationship between variables 
• testing a theory 
• replicating earlier studies 
• exploring the whether earlier findings can be demonstrated to hold true in new times, places, or circumstances 
• refining a method of inquiry.

5. Research Method

The research method that will be used involves three levels of concern:

• overall research design
• delineation of the method
• procedures for executing it.

At the outset you have to show that your overall design is appropriate for the questions you’re posing. 

Next, you need to outline your specific research method. What data will you analyze? 

How will you collect the data? Supervisors sometimes expect proposals to sketch instruments (e.g., coding sheets, questionnaires, protocols) central to the project. 

Third, what procedures will you follow as you conduct your research? What will you do with your data? A key here is your plan for analyzing data. You want to gather data in a form in which you can analyze it. [In this case the method is a survey administered to a group of people]. If appropriate, you should indicate what rules for interpretation or what kinds of statistical tests that you’ll use.

6. Tentative Dissertation Outline

Give your committee a sense of how your thesis will be organized. You can write a short (two- or three-sentence) paragraph summarizing what you expect to include in each section of the thesis.

7. Tentative Schedule for Completion

Be realistic in projecting your timeline. Don’t forget to include time for human subjects review, if appropriate .

8. References

If you didn’t use footnotes or endnotes throughout, you should include a list of references to the literature cited in the proposal.

9. Selected Bibliography of Other Sources

You might want to append a more extensive bibliography (check with your supervisor). If you include one, you might want to divide it into several subsections, for instance by concept, topic or field.

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Research Design: Qualitative, Quantitative, and Mixed Methods Approaches

Student resources, research proposal tools and sample student proposals.

Sample research proposals written by doctoral students in each of the key areas covered in Research Design --quantitative, qualitative, and mixed methods—are provided as a useful reference. A Research Proposal checklist also serves to help guide your own proposal-writing.

›   Morales Proposal_Qualitative Study

›   Kottich Proposal_Quantitative Study

›   Guetterman Proposal_Mixed Methods Study

›   Research Proposal Checklist  

How to Write a Survey Proposal

by Vicki A. Benge

Published on 26 Sep 2017

Researchers survey different populations for various reasons. Marketers test products through consumer surveys. Political candidates survey voters' concerns through questionnaires. One population group that is readily available and used for diverse types of surveys consists of college students. These surveys generally require that a written proposal be submitted to an approval committee. The written form requires the author to follow a few basic guidelines.

Introducing the Proposal

In the introduction, provide an overview of the survey. Identify the survey topic, the data sought and the target. The introduction should also explain the purpose of the survey, how the results will be used, how the volunteers or paid respondents will be contacted and how many persons will be questioned.

The Proposal

The dates on which the survey will begin and end should be included in the body of the proposal. Whether the participants' identities will be revealed along with the results should also be noted. A copy of the survey -- that is, the actual questions the surveyors will be asking -- should be a part of the proposal. This will give the review committee or the pertinent authority that will be approving or denying the survey an opportunity to analyze the intent fully. If the results are subject to sampling errors, explain how that data will be handled.

Be Specific

Suppose a professor of neurology heading a research group wants to survey the sleeping habits of college students and needs 100 volunteers to answer five short questions. The research team could contact students on campus to seek willing participants. The survey proposal would include details about what the neurology team is trying to learn, including background data on why the survey is important, such as citing prior research in the field.

Provide Contact Information

Not only should the names of surveyors be included in a survey proposal, but a contact person for the proposal also should be clearly identified. In addition, details about how participants will be contacted -- by email, telephone or in person -- should be included.

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Writing your research proposal

A doctoral research degree is the highest academic qualification that a student can achieve. The guidance provided in these articles will help you apply for one of the two main types of research degree offered by The Open University.

A traditional PhD, a Doctor of Philosophy, usually studied full-time, prepares candidates for a career in Higher Education.    

A Professional Doctorate is usually studied part-time by mid- to late-career professionals. While it may lead to a career in Higher Education, it aims to improve and develop professional practice.  

We offer two Professional Doctorates:  

• A Doctorate in Education, the EdD and
• a Doctorate in Health and Social Care, the DHSC.

  Achieving a doctorate, whether a PhD, EdD or DHSC confers the title Dr.  

Why write a Research Proposal?  

To be accepted onto a PhD / Professional Doctorate (PD) programme in the Faculty of Wellbeing, Education and Language Studies (WELS) at The Open University, you are required to submit a research proposal. Your proposal will  outline the research project you would like to pursue if you’re offered a place.  

When reviewing your proposal, there are three broad considerations that those responsible for admission onto the programme will bear in mind:    

1.     Is this PhD / PD research proposal worthwhile?

2.     Is this PhD / PD candidate capable of completing a doctorate at this university?

3.     Is this PhD / PD research proposal feasible?  

Writing activity: in your notebook, outline your response to each of the questions below based on how you would persuade someone with responsibility for admission onto a doctoral programme to offer you a place:

• What is your proposed research about & why is it worthy of three or more years of your time to study?
• What skills, knowledge and experience do you bring to this research – If you are considering a PhD, evidence of your suitability will be located in your academic record for the Prof Doc your academic record will need to be complemented by professional experience.
• Can you map out the different stages of your project, and how you will complete it studying i) full-time for three years ii) part-time for four years.

The first sections of the proposal - the introduction, the research question and the context are aimed at addressing considerations one and two.  

Your Introduction

Your Introduction will provide a clear and succinct summary of your proposal. It will include a title, research aims and research question(s), all of which allows your reader to understand immediately what the research is about and what it is intended to accomplish. We recommend that you have one main research question with two or three sub research questions. Sub research questions are usually implied by, or embedded within, your main research question.  

Please introduce your research proposal by completing the following sentences in your notebook: I am interested in the subject of ………………. because ……………… The issue that I see as needing investigation is ………………. because ………………. Therefore, my proposed research will answer or explore [add one main research question and two sub research questions] …... I am particularly well suited to researching this issue because ………………. So in this proposal I will ………………. Completing these prompts may feel challenging at this stage and you are encouraged to return to these notes as you work through this page.

Research questions are central to your study. While we are used to asking and answering questions on a daily basis, the research question is quite specific. As well as identifying an issue about which your enthusiasm will last for anything from 3 – 8 years, you also need a question that offers the right scope, is clear and allows for a meaningful answer.  

Research questions matter. They are like the compass you use to find your way through a complicated terrain towards a specific destination. 

A good research proposal centres around a good research question. Your question will determine all other aspects of your research – from the literature you engage with, the methodology you adopt and ultimately, the contribution your research makes to the existing understanding of a subject. How you ask your question, or the kinds of question you ask, matters because there is a direct connection between question and method.  

You may be inclined to think in simplistic terms about methods as either quantitative or qualitative. We will discuss methodology in more detail in section three. At this point, it is more helpful to think of your methods in terms of the kinds of data you aim to generate. Mostly, this falls into two broad categories, qualitative and quantitative (sometimes these can be mixed). Many academics question this distinction and suggest the methodology categories are better understood as unstructured or structured.  

For example, let’s imagine you are asking a group of people about their sugary snack preferences.  

You may choose to interview people and transcribe what they say are their motivations, feelings and experiences about a particular sugary snack choice. You are most likely to do this with a small group of people as it is time consuming to analyse interview data.  

Alternatively, you may choose to question a number of people at some distance to yourself via a questionnaire, asking higher level questions about the choices they make and why.

Once you have a question that you are comfortable with, the rest of your proposal is devoted to explaining, exploring and elaborating your research question. It is probable that your question will change through the course of your study.  

At this early stage it sets a broad direction for what to do next: but you are not bound to it if your understanding of your subject develops, your question may need to change to reflect that deeper understanding. This is one of the few sections where there is a significant difference between what is asked from PhD candidates in contrast to what is asked from those intending to study a PD. There are three broad contexts for your research proposal.  

If you are considering a PD, the first context for your proposal is professional:

This context is of particular interest to anyone intending to apply for the professional doctorate. It is, however, also relevant if you are applying for a PhD with a subject focus on education, health, social care, languages and linguistics and related fields of study.  

You need to ensure your reader has a full understanding of your professional context and how your research question emerges from that context. This might involve exploring the specific institution within which your professionalism is grounded – a school or a care home.  It might also involve thinking beyond your institution, drawing in discussion of national policy, international trends, or professional commitments. There may be several different contexts that shape your research proposal. These must be fully explored and explained.  

Postgraduate researcher talks about research questions, context and why it mattered

The second context for your proposal is you and your life:

Your research proposal must be based on a subject about which you are enthused and have some degree of knowledge. This enthusiasm is best conveyed by introducing your motivations for wanting to undertake the research.  Here you can explore questions such as – what particular problem, dilemma, concern or conundrum your proposal will explore – from a personal perspective. Why does this excite you? Why would this matter to anyone other than you, or anyone who is outside of your specific institution i.e. your school, your care home.  

It may be helpful here to introduce your positionality . That is, let your reader know where you stand in relation to your proposed study. You are invited to offer a discussion of how you are situated in relation to the study being undertaken and how your situation influences your approach to the study.  

The third context for your doctoral proposal is the literature:

All research is grounded in the literature surrounding your subject. A legitimate research question emerges from an identified contribution your work has the potential to make to the extant knowledge on your chosen subject. We usually refer to this as finding a gap in the literature. This context is explored in more detail in the second article.

You can search for material that will help with your literature review and your research methodology using The Open University’s Open Access Research repository  and other open access literature.

Before moving to the next article ‘Defining your Research Methodology’, you might like to explore more about postgraduate study with these links:  

• Professional Doctorate Hub  
• What is a Professional Doctorate? 
• Are you ready to study for a Professional Doctorate? 
• The impact of a Professional Doctorate

Applying to study for a PhD in psychology

• Succeeding in postgraduate study - OpenLearn - Open University
• Are you ready for postgraduate study? - OpenLearn - Open University
• Postgraduate fees and funding | Open University
• Engaging with postgraduate research: education, childhood & youth - OpenLearn - Open University

We want you to do more than just read this series of articles. Our purpose is to help you draft a research proposal. With this in mind, please have a pen and paper (or your laptop and a notebook) close by and pause to read and take notes, or engage with the activities we suggest. You will not have authored your research proposal at the end of these articles, but you will have detailed notes and ideas to help you begin your first draft.

More articles from the research proposal collection

Defining your research methodology

Your research methodology is the approach you will take to guide your research process and explain why you use particular methods. This article explains more.

Level: 1 Introductory

Addressing ethical issues in your research proposal

This article explores the ethical issues that may arise in your proposed study during your doctoral research degree.

Writing your proposal and preparing for your interview

The final article looks at writing your research proposal - from the introduction through to citations and referencing - as well as preparing for your interview.

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This free course, Succeeding in postgraduate study, will help you to become familiar with the requirements and demands of postgraduate study and to develop the skills and confidence to pursue your learning further.

This free OpenLearn course is for psychology students and graduates who are interested in PhD study at some future point. Even if you have met PhD students and heard about their projects, it is likely that you have only a vague idea of what PhD study entails. This course is intended to give you more information.

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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.

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Understanding and Evaluating Survey Research

A variety of methodologic approaches exist for individuals interested in conducting research. Selection of a research approach depends on a number of factors, including the purpose of the research, the type of research questions to be answered, and the availability of resources. The purpose of this article is to describe survey research as one approach to the conduct of research so that the reader can critically evaluate the appropriateness of the conclusions from studies employing survey research.

SURVEY RESEARCH

Survey research is defined as "the collection of information from a sample of individuals through their responses to questions" ( Check & Schutt, 2012, p. 160 ). This type of research allows for a variety of methods to recruit participants, collect data, and utilize various methods of instrumentation. Survey research can use quantitative research strategies (e.g., using questionnaires with numerically rated items), qualitative research strategies (e.g., using open-ended questions), or both strategies (i.e., mixed methods). As it is often used to describe and explore human behavior, surveys are therefore frequently used in social and psychological research ( Singleton & Straits, 2009 ).

Information has been obtained from individuals and groups through the use of survey research for decades. It can range from asking a few targeted questions of individuals on a street corner to obtain information related to behaviors and preferences, to a more rigorous study using multiple valid and reliable instruments. Common examples of less rigorous surveys include marketing or political surveys of consumer patterns and public opinion polls.

Survey research has historically included large population-based data collection. The primary purpose of this type of survey research was to obtain information describing characteristics of a large sample of individuals of interest relatively quickly. Large census surveys obtaining information reflecting demographic and personal characteristics and consumer feedback surveys are prime examples. These surveys were often provided through the mail and were intended to describe demographic characteristics of individuals or obtain opinions on which to base programs or products for a population or group.

More recently, survey research has developed into a rigorous approach to research, with scientifically tested strategies detailing who to include (representative sample), what and how to distribute (survey method), and when to initiate the survey and follow up with nonresponders (reducing nonresponse error), in order to ensure a high-quality research process and outcome. Currently, the term "survey" can reflect a range of research aims, sampling and recruitment strategies, data collection instruments, and methods of survey administration.

Given this range of options in the conduct of survey research, it is imperative for the consumer/reader of survey research to understand the potential for bias in survey research as well as the tested techniques for reducing bias, in order to draw appropriate conclusions about the information reported in this manner. Common types of error in research, along with the sources of error and strategies for reducing error as described throughout this article, are summarized in the Table .

Sources of Error in Survey Research and Strategies to Reduce Error

The goal of sampling strategies in survey research is to obtain a sufficient sample that is representative of the population of interest. It is often not feasible to collect data from an entire population of interest (e.g., all individuals with lung cancer); therefore, a subset of the population or sample is used to estimate the population responses (e.g., individuals with lung cancer currently receiving treatment). A large random sample increases the likelihood that the responses from the sample will accurately reflect the entire population. In order to accurately draw conclusions about the population, the sample must include individuals with characteristics similar to the population.

It is therefore necessary to correctly identify the population of interest (e.g., individuals with lung cancer currently receiving treatment vs. all individuals with lung cancer). The sample will ideally include individuals who reflect the intended population in terms of all characteristics of the population (e.g., sex, socioeconomic characteristics, symptom experience) and contain a similar distribution of individuals with those characteristics. As discussed by Mady Stovall beginning on page 162, Fujimori et al. ( 2014 ), for example, were interested in the population of oncologists. The authors obtained a sample of oncologists from two hospitals in Japan. These participants may or may not have similar characteristics to all oncologists in Japan.

Participant recruitment strategies can affect the adequacy and representativeness of the sample obtained. Using diverse recruitment strategies can help improve the size of the sample and help ensure adequate coverage of the intended population. For example, if a survey researcher intends to obtain a sample of individuals with breast cancer representative of all individuals with breast cancer in the United States, the researcher would want to use recruitment strategies that would recruit both women and men, individuals from rural and urban settings, individuals receiving and not receiving active treatment, and so on. Because of the difficulty in obtaining samples representative of a large population, researchers may focus the population of interest to a subset of individuals (e.g., women with stage III or IV breast cancer). Large census surveys require extremely large samples to adequately represent the characteristics of the population because they are intended to represent the entire population.

DATA COLLECTION METHODS

Survey research may use a variety of data collection methods with the most common being questionnaires and interviews. Questionnaires may be self-administered or administered by a professional, may be administered individually or in a group, and typically include a series of items reflecting the research aims. Questionnaires may include demographic questions in addition to valid and reliable research instruments ( Costanzo, Stawski, Ryff, Coe, & Almeida, 2012 ; DuBenske et al., 2014 ; Ponto, Ellington, Mellon, & Beck, 2010 ). It is helpful to the reader when authors describe the contents of the survey questionnaire so that the reader can interpret and evaluate the potential for errors of validity (e.g., items or instruments that do not measure what they are intended to measure) and reliability (e.g., items or instruments that do not measure a construct consistently). Helpful examples of articles that describe the survey instruments exist in the literature ( Buerhaus et al., 2012 ).

Questionnaires may be in paper form and mailed to participants, delivered in an electronic format via email or an Internet-based program such as SurveyMonkey, or a combination of both, giving the participant the option to choose which method is preferred ( Ponto et al., 2010 ). Using a combination of methods of survey administration can help to ensure better sample coverage (i.e., all individuals in the population having a chance of inclusion in the sample) therefore reducing coverage error ( Dillman, Smyth, & Christian, 2014 ; Singleton & Straits, 2009 ). For example, if a researcher were to only use an Internet-delivered questionnaire, individuals without access to a computer would be excluded from participation. Self-administered mailed, group, or Internet-based questionnaires are relatively low cost and practical for a large sample ( Check & Schutt, 2012 ).

Dillman et al. ( 2014 ) have described and tested a tailored design method for survey research. Improving the visual appeal and graphics of surveys by using a font size appropriate for the respondents, ordering items logically without creating unintended response bias, and arranging items clearly on each page can increase the response rate to electronic questionnaires. Attending to these and other issues in electronic questionnaires can help reduce measurement error (i.e., lack of validity or reliability) and help ensure a better response rate.

Conducting interviews is another approach to data collection used in survey research. Interviews may be conducted by phone, computer, or in person and have the benefit of visually identifying the nonverbal response(s) of the interviewee and subsequently being able to clarify the intended question. An interviewer can use probing comments to obtain more information about a question or topic and can request clarification of an unclear response ( Singleton & Straits, 2009 ). Interviews can be costly and time intensive, and therefore are relatively impractical for large samples.

Some authors advocate for using mixed methods for survey research when no one method is adequate to address the planned research aims, to reduce the potential for measurement and non-response error, and to better tailor the study methods to the intended sample ( Dillman et al., 2014 ; Singleton & Straits, 2009 ). For example, a mixed methods survey research approach may begin with distributing a questionnaire and following up with telephone interviews to clarify unclear survey responses ( Singleton & Straits, 2009 ). Mixed methods might also be used when visual or auditory deficits preclude an individual from completing a questionnaire or participating in an interview.

FUJIMORI ET AL.: SURVEY RESEARCH

Fujimori et al. ( 2014 ) described the use of survey research in a study of the effect of communication skills training for oncologists on oncologist and patient outcomes (e.g., oncologist’s performance and confidence and patient’s distress, satisfaction, and trust). A sample of 30 oncologists from two hospitals was obtained and though the authors provided a power analysis concluding an adequate number of oncologist participants to detect differences between baseline and follow-up scores, the conclusions of the study may not be generalizable to a broader population of oncologists. Oncologists were randomized to either an intervention group (i.e., communication skills training) or a control group (i.e., no training).

Fujimori et al. ( 2014 ) chose a quantitative approach to collect data from oncologist and patient participants regarding the study outcome variables. Self-report numeric ratings were used to measure oncologist confidence and patient distress, satisfaction, and trust. Oncologist confidence was measured using two instruments each using 10-point Likert rating scales. The Hospital Anxiety and Depression Scale (HADS) was used to measure patient distress and has demonstrated validity and reliability in a number of populations including individuals with cancer ( Bjelland, Dahl, Haug, & Neckelmann, 2002 ). Patient satisfaction and trust were measured using 0 to 10 numeric rating scales. Numeric observer ratings were used to measure oncologist performance of communication skills based on a videotaped interaction with a standardized patient. Participants completed the same questionnaires at baseline and follow-up.

The authors clearly describe what data were collected from all participants. Providing additional information about the manner in which questionnaires were distributed (i.e., electronic, mail), the setting in which data were collected (e.g., home, clinic), and the design of the survey instruments (e.g., visual appeal, format, content, arrangement of items) would assist the reader in drawing conclusions about the potential for measurement and nonresponse error. The authors describe conducting a follow-up phone call or mail inquiry for nonresponders, using the Dillman et al. ( 2014 ) tailored design for survey research follow-up may have reduced nonresponse error.

CONCLUSIONS

Survey research is a useful and legitimate approach to research that has clear benefits in helping to describe and explore variables and constructs of interest. Survey research, like all research, has the potential for a variety of sources of error, but several strategies exist to reduce the potential for error. Advanced practitioners aware of the potential sources of error and strategies to improve survey research can better determine how and whether the conclusions from a survey research study apply to practice.

The author has no potential conflicts of interest to disclose.

ANNOTATED SAMPLE GRANT PROPOSALS

How to Use Annotated Sample Grants

Are these real grants written by real students.

Yes! While each proposal represents a successfully funded application, there are two things to keep in mind: 1) The proposals below are  final products;  no student started out with a polished proposal. The proposal writing process requires stages of editing while a student formulates their project and works on best representing that project in writing. 2) The samples reflect a wide range of project types, but  they are not exhaustive . URGs can be on any topic in any field, but all must make a successful argument for why their project should be done/can be done by the person proposing to do it.  See our proposal writing guides for more advice. The best way to utilize these proposals is to pay attention to the  proposal strengths  and  areas for improvement  on each cover page to guide your reading.

How do I decide which sample grants to read?

When students first look through the database, they are usually compelled to read an example from their major (Therefore, we often hear complaints that there is not a sample proposal for every major). However, this is not the best approach because there can be many different kinds of methodologies within a single subject area, and similar research methods can be used across fields.

• Read through the Methodology Definitions and Proposal Features  to identify which methodolog(ies) are most similar to your proposed project. 
• Use the Annotated Sample Grant Database ( scroll below the definitions and features) filters or search for this methodology to identify relevant proposals and begin reading!

It does not matter whether the samples you read are summer grants (SURGs) or academic year grants (AYURGs).  The main difference between the two grant types is that academic year proposals (AYURG) require a budget to explain how the $1,000 will be used towards research materials, while summer proposals (SURG) do not require a budget (the money is a living stipend that goes directly to the student awardee) and SURGs have a bigger project scope since they reflect a project that will take 8 weeks of full time research to complete.  The overall format and style is the same across both grant cycles, so they are relevant examples for you to review, regardless of which grant cycle you are planning to apply.  

How do I get my proposal to look like these sample grants?

Do not submit a first draft:  These sample proposals went through multiple rounds of revisions with feedback from both Office of Undergraduate Research advisors and the student’s faculty mentor. First, it helps to learn about grant structure and proposal writing techniques before you get started. Then, when you begin drafting, it’s normal to make lots of changes as the grant evolves. You will learn a lot about your project during the editing and revision process, and you typically end up with a better project by working through several drafts of a proposal.

Work with an advisor:  Students who work with an Office of Undergraduate Research Advisor have higher success rates than students who do not. We encourage students to meet with advisors well in advance of the deadline (and feel free to send us drafts of your proposal prior to our advising appointment, no matter how rough your draft is!), so we can help you polish and refine your proposal.

Review final proposal checklists prior to submission:  the expectation is a two-page, single-spaced research grant proposal (1″ margins, Times New Roman 12 or Arial 11), and proposals that do not meet these formatting expectations will not be considered by the review committee.  Your bibliography does not count towards this page limit.

Academic Year URG Submission Checklist

Summer URG Application Checklist

METHODOLOGY DEFINITIONS & PROPOSAL FEATURES

Research methodologies.

The proposed project involves collecting primary sources held in archives, a Special Collections library, or other repository. Archival sources might include manuscripts, documents, records, objects, sound and audiovisual materials, etc. If a student proposes a trip to collect such sources, the student should address a clear plan of what will be collected from which archives, and should address availability and access (ie these sources are not available online, and the student has permission to access the archive).

Computational/Mathematical Modeling

The proposed project involves developing models to numerically study the behavior of system(s), often through computer simulation. Students should specify what modeling tool they will be using (i.e., an off-the-shelf product, a lab-specific codebase), what experience they have with it, and what resources they have when they get stuck with the tool (especially if the advisor is not a modeler). Models often involve iterations of improvements, so much like a Design/Build project, the proposal should clearly define parameters for a “successful” model with indication of how the student will assess if the model meets these minimum qualifications.

Creative Output

The proposed project has a creative output such playwriting, play production, documentary, music composition, poetry, creative writing, or other art. Just like all other proposals, the project centers on an answerable question, and the student must show the question and method associated with the research and generation of that project. The artist also must justify their work and make an argument for why this art is needed and/or how it will add to important conversations .

Design/Build

The proposed project’s output centers around a final product or tool. The student clearly defines parameters for a “successful” project with indication of how they will assess if the product meets these minimum qualifications.

The project takes place in a lab or research group environment, though the methodology within the lab or research group vary widely by field. The project often fits within the larger goals/or project of the research group, but the proposal still has a clearly identified research question that the student is working independently to answer.

Literary/Composition Analysis

The project studies, evaluates, and interprets literature or composition. The methods are likely influenced by theory within the field of study. In the proposal, the student has clearly defined which pieces will be studied and will justify why these pieces were selected. Context will be given that provides a framework for how the pieces will be analyzed or interpreted.

Qualitative Data Analysis

The project proposes to analyze data from non-numeric information such as interview transcripts, notes, video and audio recordings, images, and text documents. The proposal clearly defines how the student will examine and interpret patterns and themes in the data and how this methodology will help to answer the defined research question.

Quantitative Data Analysis

The project proposes to analyze data from numeric sources. The proposal clearly defines variables to be compared and provides insight as to the kinds of statistical tests that will be used to evaluate the significance of the data.

The proposed project will collect data through survey(s). The proposal should clearly defined who will be asked to complete the survey, how these participants will be recruited, and/or proof of support from contacts. The proposal should include the survey(s) in an appendix. The proposal should articulate how the results from these survey(s) will be analyzed.

The proposed project will use theoretical frameworks within their proposed area of research to explain, predict, and/or challenge and extend existing knowledge. The conceptual framework serves as a lens through which the student will evaluate the research project and research question(s); it will likely contain a set of assumptions and concepts that form the basis of this lens.

Proposal Features

Group project.

A group project is proposed by two or more students; these proposals receive one additional page for each additional student beyond the two page maximum. Group projects must clearly articulate the unique role of each student researcher. While the uploaded grant proposal is the same, each student researcher must submit their own application into the system for the review.

International Travel

Projects may take place internationally. If the proposed country is not the student’s place of permanent residence, the student can additionally apply for funding to cover half the cost of an international plane ticket. Proposals with international travel should likely include travel itineraries and/or proof of support from in-country contacts in the appendix.

Non-English Language Proficiency

Projects may be conducted in a non-English language. If you have proficiency in the proposed language, you should include context (such as bilingual, heritage speaker, or by referencing coursework etc.) If you are not proficient and the project requires language proficiency, you should include a plan for translation or proof of contacts in the country who can support your research in English.

DATABASE OF ANNOTATED SAMPLE GRANTS

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‘On a scale of 1 to 5, are you….’

Rensis Likert and the science of society

How do people feel about the president? The new laundry detergent? The state of the world?

Until Rensis Likert , it was hard to say.

As a graduate student in sociology in the 1920s, he developed a simple way to gauge public opinion on any topic. He gave participants a statement, then a choice of responses from “strongly agree” to “strongly disagree.”

It became known as the Likert (pronounced LICK-ert) Scale. Now as familiar as a traffic light, this form of asking and answering questions became the foundation of modern survey research — the study of what people, in aggregate, think and feel about the world.

That by itself was a significant contribution to sociology, social psychology, and economics. But Likert went on to foster the spread of survey research into every quarter of society. And for decades, he led the field from the center he founded at Michigan just after World War II — the Institute for Social Research (ISR) .

From D.C. to A2

Rensis Likert created the Likert Scale, which became the standard when conducting massive surveys. (Image courtesy of ISR.)

As a Michigan undergraduate, Likert started in engineering, then shifted to sociology and economics. Next, it was on to graduate school, first in theology, then in sociology, at Columbia.

His “Likert Scale” sparked attention among decision-makers seeking quality data. He honed his skills in the insurance industry before moving to the U.S. Dept. of Agriculture. During World War II, he led studies of public attitudes about war bond sales, price controls, and rationing. He conducted the first massive sample surveys, a technique that would spread worldwide, and he recruited a team of like-minded young social scientists.

After the war, Likert looked for an academic home. He found it back in Ann Arbor, where the chairs of sociology, economics, and psychology knew what he could do.

Likert brought along his associates, including Angus Campbell and Leslie Kish , pioneering social psychologists who became award-winning leaders in the field. In a small operation called the Survey Research Center, they turned from studying particular programs and policies to broad questions about individuals’ relationships with organizations and society.

“The university gave us a basement and small payments for teaching,” Kish recalled. “But the University of Michigan’s chief contributions were its name and blessing for us to start our own projects . . . This was Likert’s and our private enterprise. We all gambled with him.”

A nationwide laboratory

ISR social scientists Philip E. Converse, Warren E. Miller, and Angus Campbell (left to right) review data from the National Elections Study in 1956. (Image courtesy of ISR.)

Likert believed society’s most pressing problems were born of the relationships between individuals and the social systems that defined them — families, workplaces, democratic polities. That’s the core tenet of social psychology, and he applied it to studying organizations.

He believed — and had the data to prove it — that humane managers running a cooperative workplace would be more productive, not to mention better to work for, than authoritarian, exploitative managers.

The Survey Research Center sprouted branches — the Center for Political Studies and the Research Center for Group Dynamics, at the start, with several more to follow. The units were consolidated in 1949 as the Institute for Social Research, a national laboratory for the study of human behavior.

From the start, Likert’s team turned conventional wisdom on its head.

Would Dewey defeat Truman?

ISR offices were located in the West Hospital building from 1950-62. (Image courtesy of ISR.)

In 1948, for example, Campbell and ISR founder Robert Kahn created a pilot survey of Americans’ opinions about international affairs. By chance, they conducted the survey during the national presidential campaign between President Harry Truman and his Republican opponent, New York Gov. Thomas E. Dewey. So, they tossed in a couple of questions about respondents’ presidential preferences.

Every prominent pollster predicted Dewey would win in a landslide. But when Campbell and Kahn analyzed their results, they envisioned a very tight race, with undecided voters leaning toward Truman.

When Truman won and word of the ISR survey got around, social scientists realized that voters were ripe for much closer examination.

In 1966, the ISR staff moved into a striking modernist home on Thompson Street. By then, the researchers’ surveys were providing the factual bedrock for decisions happening everywhere, from the CEO’s suite to the halls of Congress.

One significant survey was the National Election Study, conceived in the wake of the 1948 findings. In another surprise, Campbell and Warren Miller (who would become ISR’s principal investigator of the Michigan Election Studies) soon showed that for most Americans, social and psychological factors influenced their vote at least as much as well-informed calculations.

Another recurring outreach was the monthly Survey of Consumer Attitudes , a keenly watched report that measures Americans’ confidence in the economy. It remains one of the institute’s most popular offerings.

‘Why do Black people do so well?’

James Jackson was the first ISR researcher to rethink surveys of African Americans. (Image courtesy of ISR.)

ISR’s surveys broadened their reach when James Jackson, born in Detroit and raised in suburban Inkster, noted that few social scientists surveyed enough Black Americans to draw conclusions about them as a group. In 1980, he became the first to say African-Americans should be studied in their own right, not just in comparison to whites.

Jackson’s surveys included such questions as: “How often are there problems with muggings, burglaries, assaults, or anything else like that around here?” and “How often do people in your church or place of worship help you out?”

Earlier surveys addressed Blacks as a homogenous population. Jackson revealed layers of complexity. He once reflected that most surveys start by asking: “What’s wrong with Black people?” He asked instead: “Given the structural impediments that they face, why do Black people do so well?”

Jackson’s work was a harbinger of ISR’s expanding curiosity. The enormous variety and depth of its inquiries in the 21st century is evident in this handful of the myriad questions posed by its investigators:

• Why do poor health and poverty persist across generations?
• How did COVID-19 affect the well-being of children and families in various types of neighborhoods?
• How do we know if an election’s results are legitimate or fraudulent?
• How do genes and lifestyle interact to influence heart disease?
• Does mass media trigger aggression?
• What is the impact of a liberal arts education after students leave college?

    Sources included Anne Frantilla, Social Science in the Public Interest: A Fiftieth-Year History of the Institute for Social Research (1998); Leslie Kish, “Resis Likert Social Scientist and Entrepreneur,” Choices (1990); Stanley E. Seashore and Donald Katz, “Rensis Likert (1903-1981),” American Psychologist (July 1982); “James Jackson, Who Changed the Study of Black America, Dies at 76,” New York Times, 9/11/2020. Lead image: In a famous Associated Press photo, President Harry Truman celebrates his presidential victory over opponent Thomas E. Dewey. (Wikipedia.)

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Methodology: 2023 focus groups of Asian Americans

Methodology: 2022-23 survey of asian americans, table of contents.

• About the focus groups
• Participant recruitment procedures
• Moderator and interpreter qualification
• Data analysis
• Sample design
• Data collection
• Weighting and variance estimation
• Analysis of Asians living in poverty
• Acknowledgments

The survey analysis is drawn from a national cross-sectional survey conducted for Pew Research Center by Westat. The sampling design of the survey was an address-based sampling (ABS) approach, supplemented by list samples, to reach a nationally representative group of respondents. The survey was fielded July 5, 2022, through Jan. 27, 2023. Self-administered screening interviews were conducted with a total of 36,469 U.S. adults either online or by mail, resulting in 7,006 interviews with Asian American adults. It is these 7,006 Asian Americans who are the focus of this report. After accounting for the complex sample design and loss of precision due to weighting, the margin of sampling error for these respondents is plus or minus 2.1 percentage points at the 95% level of confidence.

The survey was administered in two stages. In the first stage, a short screening survey was administered to a national sample of U.S. adults to collect basic demographics and determine a respondent’s eligibility for the extended survey of Asian Americans. Screener respondents were considered eligible for the extended survey if they self-identified as Asian (alone or in combination with any other race or ethnicity). Note that all individuals who self-identified as Asian were asked to complete the extended survey.

To maintain consistency with the Census Bureau’s definition of “Asian,” individuals responding as Asian but who self-identified with origins that did not meet the bureau’s official standards prior to the 2020 decennial census were considered ineligible and were not asked to complete the extended survey or were removed from the final sample. Those excluded were people solely of Southwest Asian descent (e.g., Lebanese, Saudi), those with Central Asian origins (e.g., Afghan, Uzbek) as well as various other non-Asian origins. The impact of excluding these groups is small, as together they represent about 1%-2% of the national U.S. Asian population, according to a Pew Research Center analysis of the 2021 American Community Survey.

Eligible survey respondents were asked in the extended survey how they identified ethnically (for example: Chinese, Filipino, Indian, Korean, Vietnamese, or some other ethnicity with a write-in option). Note that survey respondents were asked about their ethnicity rather than nationality. For example, those classified as Chinese in the survey are those self-identifying as of Chinese ethnicity, rather than necessarily being a citizen or former citizen of the People’s Republic of China. Since this is an ethnicity, classification of survey respondents as Chinese also includes those who are Taiwanese.

The research plan for this project was submitted to Westat’s institutional review board (IRB), which is an independent committee of experts that specializes in helping to protect the rights of research participants. Due to the minimal risks associated with this questionnaire content and the population of interest, this research underwent an expedited review and received approval (approval #FWA 00005551).

Throughout this methodology statement, the terms “extended survey” and “extended questionnaire” refer to the extended survey of Asian Americans that is the focus of this report, and “eligible adults” and “eligible respondents” refer to those individuals who met its eligibility criteria, unless otherwise noted.

The survey had a complex sample design constructed to maximize efficiency in reaching Asian American adults while also supporting reliable, national estimates for the population as a whole and for the five largest ethnic groups (Chinese, Filipino, Indian, Korean and Vietnamese). Asian American adults include those who self-identify as Asian, either alone or in combination with other races or Hispanic identity.

The main sample frame of the 2022-2023 Asian American Survey is an address-based sample (ABS). The ABS frame of addresses was derived from the USPS Computerized Delivery Sequence file. It is maintained by Marketing Systems Group (MSG) and is updated monthly. MSG geocodes their entire ABS frame, so block, block group, and census tract characteristics from the decennial census and the American Community Survey (ACS) could be appended to addresses and used for sampling and data collection.

All addresses on the ABS frame were geocoded to a census tract. Census tracts were then grouped into three strata based on the density of Asian American adults, defined as the proportion of Asian American adults among all adults in the tract. The three strata were defined as:

• High density: Tracts with an Asian American adult density of 10% or higher
• Medium density: Tracts with a density 3% to less than 10%
• Low density: Tracts with a density less than 3%

Mailing addresses in census tracts from the lowest density stratum, strata 3, were excluded from the sampling frame. As a result, the frame excluded 54.1% of the 2020 census tracts, 49.1% of the U.S. adult population, including 9.1% of adults who self-identified as Asian alone or in combination with other races or Hispanic ethnicity. For the largest five Asian ethnic subgroups, Filipinos had the largest percentage of excluded adults, with 6.8%, while Indians had the lowest with 4.2% of the adults. Addresses were then sampled from the two remaining strata. This stratification and the assignment of differential sampling rates to the strata were critical design components because of the rareness of the Asian American adult population.

Despite oversampling of the high- and medium-density Asian American strata in the ABS sample, the ABS sample was not expected to efficiently yield the required number of completed interviews for some ethnic subgroups. Therefore, the ABS sample was supplemented with samples from the specialized surname list frames maintained by the MSG. These list frames identify households using commercial databases linked to addresses and telephone numbers. The individuals’ surnames in these lists could be classified by likely ethnic origin. Westat requested MSG to produce five list frames: Chinese, Filipino, Indian, Korean and Vietnamese. The lists were subset to include only cases with a mailing address. Addresses sampled from the lists, unlike those sampled from the ABS frame, were not limited to high- and medium-density census tracts.

Once an address was sampled from either the ABS frame or the surname lists, an invitation was mailed to the address. The invitation requested that the adult in the household with the next birthday complete the survey.

To maximize response, the survey used a sequential mixed-mode protocol in which sampled households were first directed to respond online and later mailed a paper version of the questionnaire if they did not respond online.

The first mailing was a letter introducing the survey and providing the information necessary (URL and unique PIN) for online response. A pre-incentive of $2 was included in the mailing. This and remaining screener recruitment letters focused on the screener survey, without mentioning the possibility of eligibility for a longer survey and associated promised incentive, since most people would only be asked to complete the short screening survey. It was important for all households to complete the screening survey, not just those who identify as Asian American. As such, the invitation did not mention that the extended survey would focus on topics surrounding the Asian American experience. The invitation was generic to minimize the risk of nonresponse bias due to topic salience bias.

After one week, Westat sent a postcard reminder to all sampled individuals, followed three weeks later by a reminder letter to nonrespondents. Approximately 8.5 weeks after the initial mailing, Westat sent nonrespondents a paper version screening survey, which was a four-page booklet (one folded 11×17 paper) and a postage-paid return envelope in addition to the cover letter. If no response was obtained from those four mailings, no further contact was made.

Eligible adults who completed the screening interview on the web were immediately asked to continue with the extended questionnaire. If an eligible adult completed the screener online but did not complete the extended interview, Westat sent them a reminder letter. This was performed on a rolling basis when it had been at least one week since the web breakoff. Names were not collected until the end of the web survey, so these letters were addressed to “Recent Participant.”

If an eligible respondent completed a paper screener, Westat mailed them the extended survey and a postage-paid return envelope. This was sent weekly as completed paper screeners arrived. Westat followed these paper mailings with a reminder postcard. Later, Westat sent a final paper version via FedEx to eligible adults who had not completed the extended interview online or by paper.

A pre-incentive of $2 (in the form of two $1 bills) was sent to all sampled addresses with the first letter, which provided information about how to complete the survey online. This and subsequent screener invitations only referred to the pre-incentive without reference to the possibility of later promised incentives.

Respondents who completed the screening survey and were found eligible were offered a promised incentive of $10 to go on and complete the extended survey. All participants who completed the extended web survey were offered their choice of a $10 Amazon.com gift code instantly or $10 cash mailed. All participants who completed the survey via paper were mailed a $10 cash incentive.

In December 2022 a mailing was added for eligible respondents who had completed a screener questionnaire, either by web or paper but who had not yet completed the extended survey. It was sent to those who had received their last mailing in the standard sequence at least four weeks earlier. It included a cover letter, a paper copy of the extended survey, and a business reply envelope, and was assembled in a 9×12 envelope with a $1 bill made visible through the envelope window.

In the last month of data collection, an additional mailing was added to boost the number of Vietnamese respondents. A random sample of 4,000 addresses from the Vietnamese surname list and 2,000 addresses from the ABS frame who were flagged as likely Vietnamese were sent another copy of the first invitation letter, which contained web login credentials but no paper copy of the screener. This was sent in a No. 10 envelope with a wide window and was assembled with a $1 bill visible through the envelope window.

The mail and web screening and extended surveys were developed in English and translated into Chinese (Simplified and Traditional), Hindi, Korean, Tagalog and Vietnamese. For web, the landing page was displayed in English initially but included banners at the top and bottom of the page that allowed respondents to change the displayed language. Once in the survey, a dropdown button at the top of each page was available to respondents to toggle between languages.

The paper surveys were also formatted into all six languages. Recipients thought to be more likely to use a specific language option, based on supplemental information in the sampling frame or their address location, were sent a paper screener in that language in addition to an English screener questionnaire. Those receiving a paper extended instrument were sent the extended survey in the language in which the screener was completed. For web, respondents continued in their selected language from the screener.

Household-level weighting

The first step in weighting was creating a base weight for each sampled mailing address to account for its probability of selection into the sample. The base weight for mailing address k is called BW k and is defined as the inverse of its probability of selection. The ABS sample addresses had a probability of selection based on the stratum from which they were sampled. The supplemental samples (i.e., Chinese, Filipino, Indian, Korean and Vietnamese surname lists) also had a probability of selection from the list frames. Because all of the addresses in the list frames are also included in the ABS frame, these addresses had multiple opportunities for these addresses to be selected, and the base weights include an adjustment to account for their higher probability of selection.

Each sampled mailing address was assigned to one of four categories according to its final screener disposition. The categories were 1) household with a completed screener interview, 2) household with an incomplete screener interview, 3) ineligible (i.e., not a household, which were primarily postmaster returns), and 4) addresses for which status was unknown (i.e., addresses that were not identified as undeliverable by the USPS but from which no survey response was received).

The second step in the weighting process was adjusting the base weight to account for occupied households among those with unknown eligibility (category 4). Previous ABS studies have found that about 13% of all addresses in the ABS frame were either vacant or not home to anyone in the civilian, non-institutionalized adult population. For this survey, it was assumed that 87% of all sampled addresses from the ABS frame were eligible households. However, this value was not appropriate for the addresses sampled from the list frames, which were expected to have a higher proportion of households as these were maintained lists. For the list samples, the occupied household rate was computed as the proportion of list cases in category 3 compared to all resolved list cases (i.e., the sum of categories 1 through 3). The base weights for the share of category 4 addresses (unknown eligibility) assumed to be eligible were then allocated to cases in categories 1 and 2 (known households) so that the sum of the combined category 1 and 2 base weights equaled the number of addresses assumed to be eligible in each frame. The category 3 ineligible addresses were given a weight of zero.

The next step was adjusting for nonresponse for households without a completed screener interview to create a final household weight. This adjustment allocated the weights of nonrespondents (category 2) to those of respondents (category 1) within classes defined by the cross-classification of sampling strata, census region, and sample type (e.g., ABS and list supplemental samples). Those classes with fewer than 50 sampled addresses or large adjustment factors were collapsed with nearby cells within the sample type. Given the large variance in the household weights among the medium density ABS stratum, final household weights for addresses within this stratum were capped at 300.

Weighting of extended survey respondents

The extended interview nonresponse adjustment began by assigning each case that completed the screener interview to one of three dispositions: 1) eligible adult completed the extended interview; 2) eligible adult did not complete the extended interview; and 3) not eligible for the extended interview.

An initial adult base weight was calculated for the cases with a completed extended interview as the product of the truncated number of adults in the household (max value of 3) and the household weight. This adjustment accounted for selecting one adult in each household.

The final step in the adult weighting was calibrating the adult weights for those who completed the extended interview so that the calibrated weights (i.e., the estimated number of adults) aligned with benchmarks for non-institutionalized Asian adults from the 2016-2020 American Community Surveys Public Use Microdata Sample (PUMS). Specifically, raking was used to calibrate the weights on the following dimensions:

• Ethnic group (Chinese, Filipino, Indian, Japanese, Korean, Vietnamese, other single Asian ethnicities, and multiple Asian ethnicities)
• Collapsed ethnic group (Chinese, Filipino, Indian, Korean, Vietnamese, all other single and multiple Asian ethnicities) by age group
• Collapsed ethnic group by sex
• Collapsed ethnic group by census region
• Collapsed ethnic group by education
• Collapsed ethnic group by housing tenure
• Collapsed ethnic group by nativity
• Income group by number of persons in the household

The control totals used in raking were based on the entire population of Asian American adults (including those who live in the excluded stratum) to correct for both extended interview nonresponse and undercoverage from excluding the low-density stratum in the ABS frame.

Variance estimation

Because the modeled estimates used in the weighting are themselves subject to sampling error, variance estimation and tests of statistical significance were performed using the grouped jackknife estimator ( JK 2). One hundred sets of replicates were created by deleting a group of cases within each stratum from each replicate and doubling the weights for a corresponding set of cases in the same stratum. The entire weighting and modeling process was performed on the full sample and then separately repeated for each replicate. The result is a total of 101 separate weights for each respondent that have incorporated the variability from the complex sample design. 1

Response rates

Westat assigned all sampled cases a result code for their participation in the screener, and then they assigned a result for the extended questionnaire for those who were eligible for the survey of Asian Americans. Two of the dispositions warrant some discussion. One is the category “4.313 No such address.” This category is for addresses that were returned by the U.S. Postal Service as not being deliverable. This status indicates the address, which was on the USPS Delivery Sequence File at the time of sampling, currently is not occupied or no longer exists. The second category is “4.90 Other.” This category contains 588 addresses that were never mailed because they had a drop count of greater than four. Drop points are addresses with multiple households that share the same address. The information available in the ABS frame on drop points is limited to the number of drop points at the address, without information on the type of households at the drop point, or how they should be labeled for mailing purposes. In this survey, all drop points were eligible for sampling, but only those with drop point counts of four or fewer were mailed. Westat treated drop point counts of five or more as out of scope, and no mailing was done for those addresses.

Westat used the disposition results to compute response rates consistent with AAPOR definitions. The response rates are weighted by the base weight to account for the differential sampling in this survey. The AAPOR RR3 response rate to the screening interview was 17.0%. 2  The RR1 response rate to the extended Asian American interview (77.9%) is the number of eligible adults completing the questionnaire over the total sampled for that extended questionnaire. The overall response rate is the product of the screener response rate and the conditional response rate for the extended questionnaire. The overall response rate for the Asian American sample in the Pew Research Center survey was 13.3% (17.0% x 77.9%).

Survey analysis of Asian adults living in poverty is based on 561 respondents of the 2022-23 survey of Asian Americans whose approximate family income falls at or below the 2022 federal poverty line published by the U.S. Department of Health and Human Services (HHS).

The survey asked respondents to choose their family income brackets in the 12 months prior to the survey. These income brackets were converted into dollars in the following ways:

• For those reporting a family income of less than $12,500, $12,499 was used as a proxy for their family income.
• For respondents reporting income brackets that are between $12,500 and $149,999, the midpoint of the selected income bracket was used as a proxy. For example, if they chose “$12,500 to $14,999,” $13,750 was used.
• For respondents reporting a family income of $150,000 or more, $150,000 was used.

The survey also asked respondents how many adults ages 18 or older live in their household including themselves, from one to 10 adults. Additionally, the survey asked how many children under 18 live in their household, from zero to 10 children. These responses were used to calculate their total family (household) size. Asian adults were categorized as “living near or below the poverty line” if their approximate family income, after being adjusted for family size, falls at or below 100% of the 2022 federal poverty line. Respondents with a household size of four were categorized as “living near or below the poverty line” if their approximate family income is $27,750 or less. 3 All Asian adults whose approximate family income is $12,499 were categorized as “living near or below” the poverty line regardless of family size, since those respondents have an income under the 2022 federal poverty line for a family of one. All Asian adults who meet the criteria above are used for the analysis of Asians in poverty, irrespective of their status as students or not.

A number of sensitivity checks were performed to test the robustness of the findings, and the main conclusions were consistently upheld. These sensitivity checks included using the poverty thresholds published by the Census Bureau instead of the poverty line published by HHS to define Asians in poverty, and excluding full-time students from the analysis even if their family income falls at or below the poverty line.

• For additional details on jackknife replication, refer to Rust, K.F., and J.N.K. Rao. 1996. “ Variance estimation for complex surveys using replication techniques .” Statistical Methods in Medical Research. ↩
• The weighted share of unscreened households assumed to be eligible for the screener interview (occupied “e”) was 87%. ↩
• The U.S. Department of Health and Human Services has separate poverty guidelines for the 48 contiguous states and the District of Columbia, Alaska and Hawaii. For all respondents in the 2022-23 survey of Asian Americans, poverty status was determined by applying the federal poverty line for the 48 contiguous states and D.C., regardless of respondents’ state of residence. ↩

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