Show that you understand the current state of research on your topic.
The length of a research proposal can vary quite a bit. A bachelor’s or master’s thesis proposal can be just a few pages, while proposals for PhD dissertations or research funding are usually much longer and more detailed. Your supervisor can help you determine the best length for your work.
One trick to get started is to think of your proposal’s structure as a shorter version of your thesis or dissertation , only without the results , conclusion and discussion sections.
Download our research proposal template
Writing a research proposal can be quite challenging, but a good starting point could be to look at some examples. We’ve included a few for you below.
Like your dissertation or thesis, the proposal will usually have a title page that includes:
The first part of your proposal is the initial pitch for your project. Make sure it succinctly explains what you want to do and why.
Your introduction should:
To guide your introduction , include information about:
As you get started, it’s important to demonstrate that you’re familiar with the most important research on your topic. A strong literature review shows your reader that your project has a solid foundation in existing knowledge or theory. It also shows that you’re not simply repeating what other people have already done or said, but rather using existing research as a jumping-off point for your own.
In this section, share exactly how your project will contribute to ongoing conversations in the field by:
Following the literature review, restate your main objectives . This brings the focus back to your own project. Next, your research design or methodology section will describe your overall approach, and the practical steps you will take to answer your research questions.
? or ? , , or research design? | |
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To finish your proposal on a strong note, explore the potential implications of your research for your field. Emphasise again what you aim to contribute and why it matters.
For example, your results might have implications for:
Last but not least, your research proposal must include correct citations for every source you have used, compiled in a reference list . To create citations quickly and easily, you can use our free APA citation generator .
Some institutions or funders require a detailed timeline of the project, asking you to forecast what you will do at each stage and how long it may take. While not always required, be sure to check the requirements of your project.
Here’s an example schedule to help you get started. You can also download a template at the button below.
Download our research schedule template
Research phase | Objectives | Deadline |
---|---|---|
1. Background research and literature review | 20th January | |
2. Research design planning | and data analysis methods | 13th February |
3. Data collection and preparation | with selected participants and code interviews | 24th March |
4. Data analysis | of interview transcripts | 22nd April |
5. Writing | 17th June | |
6. Revision | final work | 28th July |
If you are applying for research funding, chances are you will have to include a detailed budget. This shows your estimates of how much each part of your project will cost.
Make sure to check what type of costs the funding body will agree to cover. For each item, include:
To determine your budget, think about:
Once you’ve decided on your research objectives , you need to explain them in your paper, at the end of your problem statement.
Keep your research objectives clear and concise, and use appropriate verbs to accurately convey the work that you will carry out for each one.
I will compare …
A research aim is a broad statement indicating the general purpose of your research project. It should appear in your introduction at the end of your problem statement , before your research objectives.
Research objectives are more specific than your research aim. They indicate the specific ways you’ll address the overarching aim.
A PhD, which is short for philosophiae doctor (doctor of philosophy in Latin), is the highest university degree that can be obtained. In a PhD, students spend 3–5 years writing a dissertation , which aims to make a significant, original contribution to current knowledge.
A PhD is intended to prepare students for a career as a researcher, whether that be in academia, the public sector, or the private sector.
A master’s is a 1- or 2-year graduate degree that can prepare you for a variety of careers.
All master’s involve graduate-level coursework. Some are research-intensive and intend to prepare students for further study in a PhD; these usually require their students to write a master’s thesis . Others focus on professional training for a specific career.
Critical thinking refers to the ability to evaluate information and to be aware of biases or assumptions, including your own.
Like information literacy , it involves evaluating arguments, identifying and solving problems in an objective and systematic way, and clearly communicating your ideas.
If you want to cite this source, you can copy and paste the citation or click the ‘Cite this Scribbr article’ button to automatically add the citation to our free Reference Generator.
McCombes, S. & George, T. (2023, June 13). How to Write a Research Proposal | Examples & Templates. Scribbr. Retrieved 9 September 2024, from https://www.scribbr.co.uk/the-research-process/research-proposal-explained/
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by Imed Bouchrika, Phd
Co-Founder and Chief Data Scientist
Whether you are a student whose goal is to complete course requirements or a researcher looking for funding, knowing how to write a research proposal is an important skill. If you have had experience writing a project proposal, you might think that they are the same. However, they are not. The standards for research proposals are much stricter and they have varying guidelines for writing styles and formatting. In fact, those guidelines can change with every discipline or department.
A basic requirement when seeking approval for any type of research project and for applying for study grants or ethics committee approval (Kivunja, 2016) is providing an example of a well-written research proposal, which generally has two purposes. First, it shows and justifies the need to investigate a research problem and, second, it presents a set of workable strategies for conducting the proposed research (Miner & Miner, 2005).
This article aims to describe the common steps taken to prepare a written proposal as attractively as possible to achieve approval and/or funding. It also seeks to discuss key aspects that must be considered to help ensure that you can convert your proposed study into well-conducted actual research work.
A. preliminary considerations.
Many students and novice researchers, unfortunately, do not completely comprehend what a research proposal structure means, nor do they recognize its value. At any rate, it is safe to say that a research project is only as good as its proposal. A poorly-prepared research proposal format adversely affects the research project although by some means it managed to get approved. Conversely, a well-written proposal not only helps ensure research success but also enhances your potential as a researcher among your evaluators.
Any type of research proposal follows the style, structure, and other writing conventions set by the relevant field of discipline. A research proposal outline’s content typically varies in length, from 3 to 35 pages, with references (and appendices, if necessary). But like any academic activity, start the research proposal template writing process by first carefully reading the instructions. Make sure to clarify anything that needs clarification and only proceed once everything is clear.
A word of caution, though. Maintain considerable control over how you conduct your research—a light, reconnaissance reading will do. People tend to fall into the over-research trap, which wastes valuable time to write. Once your structure of a research proposal has been approved, the researcher gains the right time to conduct deep research.
At this stage, it is good to ask these preparatory questions to help you steer your research in the right direction:
Generally, a compelling background and significance in research proposal will manifest if it effectively captures your knowledge about the topic and shows your deep interest to conduct the research. Handle it with the purpose of making your readers engaged about the study and what the outcomes will be.
In case you’re still unsure about your topic or in the process of exploring possibilities, it is good to consider how funding agencies across the world are allocating their budgets for research grants. For instance, in the field of market research, the top topics that won the most study grants in 2018 were market measurement (21%), media audience/research (12%), usage and attitude studies (12%), and CRM systems (8%) (ESOMAR, 2019). If you are considering marketing as a major , these are good references. Also, you can search for cutting-edge or controversial debate topics in your field. This way, you will also touch on the current interests of other researchers in your field.
A. introduction.
A research proposal is commonly written by scholars seeking grant funding for a research project when enrolling for a research-based postgraduate degree. Graduate and post-graduate students also embark on a university dissertation to obtain a degree or get that Ph.D. Although it is just a course assignment, a student must treat the introduction as the decisive initial pitch for a research inquiry or in-depth investigation of the significance of an issue for study.
After reading the introduction, your readers should be able to clearly understand what you want to do. Likewise, they should be able to appreciate your enthusiasm for the topic and to be engaged in the potential results of the study (Jackowski & Leggett, 2015).
Consider your introduction as a two-four-paragraph narrative that concisely responds to the following questions:
Take note that most academic institutions and funding agencies do not require an abstract or synopsis before the introduction. However, it is best to check your institution’s guidelines.
This part is for explaining the context of a research proposal and for clearly describing its importance. While some writers integrate this part in the introduction, a number of scholars prefer to write it separately to allow for a smooth flow of a proposal’s narrative.
A good way to approach this section is by assuming that your readers are busy but want to know the gist of your research problem and the entire study (Kivunja, 2016). Remember that this is not an extensive essay that covers everything about your proposed study, but rather a concise text that is enough to elicit interest in your research.
With these in mind and although there is no definitive rule for framing a proposed study’s significance, you should endeavor to address the following key considerations:
Your study background and significance are directly related to this section, which primarily offers a more deliberate review and synthesis of existing studies pertinent to your proposed research problem. This part aims to properly situate your proposed study within the bigger scheme of things of what is being investigated, while, at the same time, showing the innovation and originality of your proposed work (Abdulai & Owusu-Ansah, 2014).
Because a literature review often involves heavy information, it is important that this section is smartly structured to allow a reader to comprehend the major contentions that underlie your proposed research vis-a-vis those of other scholars. An effective way to do this is to separate the literature into major themes or conceptual strategies. This is a better approach instead of chronologically or methodically describing sets of studies one by one.
As there are many efficient ways in framing your review of existing related studies, many scholars are following the use of the “five Cs" in writing a literature review (Sudheesh et al., 2016):
Once you’ve determined a good angle for your study, it is time to compose your research objectives. Ask yourself: What do you want your readers to know when they read your proposal? Give considerable time to properly frame your objectives and try to write them in a single sentence, if possible.
A research objective will help you stay focused and prevent you from drifting off on tangents (Krathwohl & Smith, 2005). Regardless of the specific topic or problem or method you choose, all study proposals must deal with the various types of research questions , specifically the following:
For some institutions, this section can be included as part of the Introduction, usually placed as the last paragraph of that section. Familiarize yourself with what is a research question if you are having difficulties in this area.
This part should be written properly and organized logically since you are not yet conducting the actual research. However, it must build confidence among your readers that it is something worth pursuing.
The underlying purpose here is to convince the reader that your research design and suggested analytical strategies will properly address the problem/s of the study. It also aims to assure the reader that the selected methods offer the means to efficiently interpret the likely study outcomes. Simply put, your research design and methods should be directly connected to the particular objectives of your research (Lyman & Keyes, 2019).
An effective way to frame your study design is by drawing good examples from your literature review. Emulate the good approaches used by other researchers. Be particular about the methodological techniques you intend to use to gather data, the strategies you will utilize to analyze your data, and the external validity measures you will employ.
Make sure to cover the following when describing the methods you will utilize:
Remember, there is no such thing as a perfect method for any type of research endeavor. However, if you rigorously follow the best practices employed by those who conducted relevant studies and provide the corresponding rationales why you selected them, then you can readily address any critique that might come your way.
This section is where you contend how you think your proposed study will enhance, change, or expand current knowledge in the research topic that will be investigated. By drawing from your research objectives, explain how the expected outcomes will affect future studies, practice, theory, policymaking, procedures, etc. Discussing study implications typically have either methodological, theoretical, or substantive significance (Abdulai & Owusu-Ansah, 2014).
You can use these guide questions when framing the potential ramifications of your proposed research:
The purpose of this section is to reflect upon gaps or understudied topics of the existing literature and explain how your proposed research contributes to a new understanding of the research problem should the study be conducted as proposed.
There is nothing fundamentally best or worst when it comes to the scientific writing style. It is just a standardized approach for presenting information that is tailored to facilitate communication. Different scholarly disciplines have diverse publication styles. So this section depends on the protocols set by the target institution or agency.
Nonetheless, it should be noted that fundamental ethical principles guide all scholarly research and writing. If you are observing APA conventions, ethical guidelines are meant to accomplish three objectives, namely, “to protect intellectual property rights, to protect the rights and welfare of research participants, and to ensure the accuracy of scientific knowledge" (APA, 2014, pp. 11).
Every social and behavioral sciences writer (and other scholars who adhere to these principles) advocates these objectives and observes the long-standing standards that their professional groups follow (APA, 2014).
Another major ethical APA principle promotes the need to ensure the accuracy of scientific knowledge. The underlying principle behind the (universal) scientific method comprises observation, which can be verified and repeated by other scholars. Accordingly, scholars are expected to not engage in research writing that involves falsifying or fabricating data. Moreover, researchers should not modify study outcomes just to uphold a hypothesis or to remove problematic data in order to present a more credible report (APA, 2014).
Some universities do not require a detailed budgetary allocation for proposed studies that only involve archival research and simple academic research, although some still do. However, if you are applying for research funding, you will likely be instructed to also include a detailed budget that shows how much every major part of the project will cost.
Be sure to verify what type of costs the funding agency or institution will agree to cover, and only include relevant items in your budget. For every item, include:
Conducting a research project is not the same as buying ingredients when cooking meals. So how do you make a budget when most entries do not have a price tag? To prepare a correct budget, think about:
The research schedule is another aspect where one should be realistic and to the point. The study turnaround time shows that your proposed study can be finished within the allowed period of completion, e.g., the student’s candidature or the university’s academic calendar.
The timeline must comprise a series of objectives that should be met to complete all the aspects of your academic research requirements (thesis, dissertation, or other degree requisites), from preliminary research to the final editing. Every step must include an expected completion date.
It should likewise contain a statement of the progress that one has made so far. Other relevant research-related activities should also be included, such as paper presentations (if applicable). Finally, it must be noted that the timeline is not a fixed document—a researcher must update it regularly, when necessary.
One of the best ways to conclude your research proposal is by presenting a few of your anticipated outcomes. Upon reaching this final stage, you must disclose the conclusions and arguments that you expect to reach. Your reader will know that these are anticipated results based on how much you’ve researched so far and that these expectations will likely change once the complete study has been made.
It is important, nonetheless, that you give your reader a sense of what conclusions may be drawn. This will allow your reader to further assess the significance and validity of your project. It will also indicate to your reader that you have thought ahead and considered the potential outcomes and implications of your research. Writing a r esearch proposal example should allow you to determine if you are communicating all essential information in your conclusion.
Some funding agencies and academic institutions require proponents of research proposals to include an Appendix section. This contains supplemental material that is not a core element of a proposal’s main narrative but is considered valuable in enhancing the views and arguments raised in the proposal. It may include forms and data like tables, informed consent, clinical/research protocols, data collection instruments, etc.
This supplementary section is also the best part to include one’s latest curriculum vitae if required. You can include all relevant academic and professional experience to present your case as a qualified individual to conduct your proposed research. It will help significantly to present pertinent research works you’ve completed, especially if you have published research reports, articles, etc.
It should be noted that many students and budding researchers who went through the rigors of research actually found the experience so worthwhile that they made it a long-term career. In fact, research as a professional job is one of the better-paying jobs worldwide. According to Glassdoor (2020), the average base pay for professional researchers in the U.S. is $54,411 per year. Among OECD-member countries, Denmark tops the list with an average of 15.65 people employed as professional researchers or scientists for every 1,000 employees in 2018.
As with any other piece of academic writing, it is essential to redraft, edit, and proofread your research proposal before you submit it (van Ekelenburg, 2010). If you have the opportunity, ask a friend, colleague, or supervisor for feedback and writing suggestions before handing it over to the evaluators.
The peer-review process, whether for professional or student research, was designed not to reject submissions but actually as a quality control system to help researchers improve on their craft (RPS, 2016). Proposal revision can entail careful rewriting, which, in itself, can be a fruitful experience that can be used for the long term.
In academic publishing, proposal rejection is a reality, even for the most seasoned scholarly writers. In fact, the success rate of reapplied proposals is considerably higher compared to the first submissions. For instance, at the European Research Council, new applicants have a success rate of 9-10%. Repeat applications tend to have better success rates, from 14-15% (ERC, 2019).
To really boost your chances of getting a Google Scholar research proposal approval, you might want to consider seeking the help of professional proofreading services to remove grammatical errors, examine your proposal’s structure, and enhance your adherence to the required academic style.
It follows that the skills necessary to write research are similar to the set of skills needed to prepare a research proposal (Gilbert, 2006). Here, these necessary skills are grouped into three categories for better understanding:
It is essential to remember these skills as you work on your research proposal. This is because your readers will be looking for evidence of these important researcher’s skills in how you write. With the success rate for many research grants below 20% (e.g., NIH, Wellcome, NHMRC, etc.), these skills will be key in helping you achieve funding approval.
V. common mistakes to avoid in proposal writing.
With rejection rates reaching as high as 97% at prestigious journals, it is only prudent to ensure that you are not making any of these customary mistakes when submitting your research proposal:
Submitting lengthy proposals . When writing research proposals, be to the point. Your submitted document must be focused and concise. Don’t diverge into irrelevant tangents without a clear sense of purpose.
Covering too much research ground . It is common for students to fail in delimiting the contextual boundaries of their studies, be it the topic, time, place, etc. As with any research paper, the proposed research must clearly inform the reader how the study will investigate the problem. Look for some research paper thesis examples so you would know how to clearly communicate the scope of your inquiry.
Not citing major works in a literature review . While it is advised to keep everything in the proposal at a minimum—a few milestone research studies must already be included. Proposals should be grounded in landmark studies that provide the groundwork for appreciating the growth and scope of the issue.
Too much focus on minor issues, yet very few details on major issues . A proposal must focus only a few key study questions to clearly argue why it should be conducted. Mentioning minor issues is acceptable but they should not overpower the major ones, which should control the overall narrative.
Inability to frame a persuasive and coherent argument for the proposed study . This is another common yet crucial mistake of students and grant-seekers. In essence, the research proposal must be able to effectively argue why a study should be approved or funded.
Poor grammar or careless writing . While a research proposal only represents a small part of a complete study, it is expected to be well-written and observes the writing style and guidelines of good academic writing.
If you are looking for a research proposal example for students, here are some made for various disciplines and levels of study that you can emulate or derive valuable ideas from:
Postgraduate Research
Undergraduate Research
Although this article had covered as much ground as possible, the truth is that there is no universal style in writing search proposals. In the same manner, there is actually no definitive standard or secret formula behind a winning proposal. This is because every academic or funding institution has its own guidelines and protocols that every candidate or funding application must adhere to.
Nonetheless, integrating the specific instructions and guidelines of your institution with the key considerations and best practices discussed in this article will help ensure the approval of your proposal. Always remember to keep a healthy balance between substance and brevity when writing a research proposal. Share enough ideas just to open the door for your readers’ interest, and then give your “all" once you are given the go-signal to proceed with the proposed study.
What is the main purpose of a research proposal?
A research proposal aims to justify the need for investigating a specific research problem and to present a set of strategies for conducting the proposed research. It helps in obtaining approval or funding by demonstrating the feasibility and significance of the research.
How should I start the process of writing a research proposal?
Begin by understanding the specific guidelines and structure required by your institution or funding agency. Clarify any uncertainties and start by asking key preparatory questions to ensure your research is valuable and feasible. Read the instructions carefully before drafting your proposal.
What should be included in the introduction of a research proposal?
The introduction should concisely explain the central problem of the study, the relevant field, the methods to analyze the problem, the importance of the study, and its significance to academia and society. It should engage readers and make them understand the purpose and potential impact of the research.
How do I approach the literature review section?
Structure the literature review to compare, contrast, critique, and connect previous studies to your proposed research. Use the “five Cs” approach: cite properly, compare methods and outcomes, contrast themes, critique the literature, and connect it to your study to show innovation and relevance.
What are the key components of the research design and methods section?
This section should outline your research process, including data collection methods, analytical strategies, and validity measures. It should build confidence in the feasibility and rigor of your approach, and justify why your chosen methods are the best for addressing the research problem.
Why is it important to discuss the implications and contributions of the research?
Discussing implications shows how your research will enhance or expand current knowledge, affect future studies, practice, theory, policy, and real-world applications. It demonstrates the potential impact and relevance of your research, making it more compelling for approval or funding.
What are common mistakes to avoid when writing a research proposal?
Avoid submitting lengthy or unfocused proposals, covering too much research ground, neglecting major works in the literature review, overemphasizing minor issues, failing to frame a persuasive argument, and submitting proposals with poor grammar or careless writing.
How important is proofreading and revision in the proposal writing process?
Proofreading and revision are crucial to ensure clarity, coherence, and adherence to guidelines. Seeking feedback from peers or professional services can significantly improve the quality of your proposal, increasing the chances of approval or funding.
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In this part, we give you detailed information about writing an effective Research Plan. We start with the importance and parameters of significance and innovation.
We then discuss how to focus the Research Plan, relying on the iterative process described in the Iterative Approach to Application Planning Checklist shown at Draft Specific Aims and give you advice for filling out the forms.
You'll also learn the importance of having a well-organized, visually appealing application that avoids common missteps and the importance of preparing your just-in-time information early.
While this document is geared toward the basic research project grant, the R01, much of it is useful for other grant types.
Research plan overview and your approach, craft a title, explain your aims, research strategy instructions, advice for a successful research strategy, graphics and video, significance, innovation, and approach, tracking for your budget, preliminary studies or progress report, referencing publications, review and finalize your research plan, abstract and narrative.
Your application's Research Plan has two sections:
In your Specific Aims, you note the significance and innovation of your research; then list your two to three concrete objectives, your aims.
Your Research Strategy is the nuts and bolts of your application, where you describe your research rationale and the experiments you will conduct to accomplish each aim. Though how you organize it is largely up to you, NIH expects you to follow these guidelines.
To write the Research Plan, you don't need the application forms. Write the text in your word processor, turn it into a PDF file, and upload it into the application form when it's final.
Because NIH may return your application if it doesn't meet all requirements, be sure to follow the rules for font, page limits, and more. Read the instructions at NIH’s Format Attachments .
For an R01, the Research Strategy can be up to 12 pages, plus one page for Specific Aims. Don't pad other sections with information that belongs in the Research Plan. NIH is on the lookout and may return your application to you if you try to evade page limits.
As you read this page, look at our Sample Applications and More to see some of the different strategies successful PIs use to create an outstanding Research Plan.
Writing in a logical sequence will save you time.
Information you put in the Research Plan affects just about every other application part. You'll need to keep everything in sync as your plans evolve during the writing phase.
It's best to consider your writing as an iterative process. As you develop and finalize your experiments, you will go back and check other parts of the application to make sure everything is in sync: the "who, what, when, where, and how (much money)" as well as look again at the scope of your plans.
In that vein, writing in a logical sequence is a good approach that will save you time. We suggest proceeding in the following order:
Even the smaller sections of your application need to be well-organized and readable so reviewers can readily grasp the information. If writing is not your forte, get help.
To view writing strategies for successful applications, see our Sample Applications and More . There are many ways to create a great application, so explore your options.
Within the character limit, include the important information to distinguish your project within the research area, your project's goals, and the research problem.
Giving your project a title at the outset can help you stay focused and avoid a meandering Research Plan. So you may want to launch your writing by creating a well-defined title.
NIH gives you a 200 character limit, but don’t feel obliged to use all of that allotment. Instead, we advise you to keep the title as succinct as possible while including the important information to distinguish your project within the research area. Make your title reflect your project's goals, the problem your project addresses, and possibly your approach to studying it. Make your title specific: saying you are studying lymphocyte trafficking is not informative enough.
For examples of strong titles, see our Sample Applications and More .
After you write a preliminary title, check that
Later you may want to change your initial title. That's fine—at this point, it's just an aid to keep your plans focused.
Since all your reviewers read your Specific Aims, you want to excite them about your project.
If testing your hypothesis is the destination for your research, your Research Plan is the map that takes you there.
You'll start by writing the smaller part, the Specific Aims. Think of the one-page Specific Aims as a capsule of your Research Plan. Since all your reviewers read your Specific Aims, you want to excite them about your project.
For more on crafting your Specific Aims, see Draft Specific Aims .
Use at least half the page to provide the rationale and significance of your planned research. A good way to start is with a sentence that states your project's goals.
For the rest of the narrative, you will describe the significance of your research, and give your rationale for choosing the project. In some cases, you may want to explain why you did not take an alternative route.
Then, briefly describe your aims, and show how they build on your preliminary studies and your previous research. State your hypothesis.
If it is likely your application will be reviewed by a study section with broad expertise, summarize the status of research in your field and explain how your project fits in.
In the narrative part of the Specific Aims of many outstanding applications, people also used their aims to
Depending on your situation, decide which items are important for you. For example, a new investigator would likely want to highlight preliminary data and qualifications to do the work.
Many people use bold or italics to emphasize items they want to bring to the reviewers' attention, such as the hypothesis or rationale.
After the narrative, enter your aims as bold bullets, or stand-alone or run-on headers.
How focused should your aims be? Look at the example below.
Read the Specific Aims of the Application from Drs. Li and Samulski , "Enhance AAV Liver Transduction with Capsid Immune Evasion."
After finishing the draft Specific Aims, check that
For each element listed above, analyze your text and revise it until your Specific Aims hit all the key points you'd like to make.
After the list of aims, some people add a closing paragraph, emphasizing the significance of the work, their collaborators, or whatever else they want to focus reviewers' attention on.
Your Research Strategy is the bigger part of your application's Research Plan (the other part is the Specific Aims—discussed above.)
The Research Strategy is the nuts and bolts of your application, describing the rationale for your research and the experiments you will do to accomplish each aim. It is structured as follows:
Though how you organize your application is largely up to you, NIH does want you to follow these guidelines:
For an R01, the Research Strategy is limited to 12 pages for the three main sections and the preliminary studies only. Other items are not included in the page limit.
Find instructions for R01s in the SF 424 Application Guide—go to NIH's SF 424 (R&R) Application and Electronic Submission Information for the generic SF 424 Application Guide or find it in your notice of funding opportunity (NOFO).
For most applications, you need to address Rigor and Reproducibility by describing the experimental design and methods you propose and how they will achieve robust and unbiased results. The requirement applies to research grant, career development, fellowship, and training applications.
If you're responding to an institute-specific program announcement (PA) (not a parent program announcement) or a request for applications (RFA), check the NIH Guide notice, which has additional information you need. Should it differ from the NOFO, go with the NIH Guide .
Also note that your application must meet the initiative's objectives and special requirements. NIAID program staff will check your application, and if it is not responsive to the announcement, your application will be returned to you without a review.
When writing your Research Strategy, your goal is to present a well-organized, visually appealing, and readable description of your proposed project. That means your writing should be streamlined and organized so your reviewers can readily grasp the information. If writing is not your forte, get help.
There are many ways to create an outstanding Research Plan, so explore your options.
Your application's Research Plan is the map that shows your reviewers how you plan to test your hypothesis.
It not only lays out your experiments and expected outcomes, but must also convince your reviewers of your likely success by allaying any doubts that may cross their minds that you will be able to conduct the research.
Notice in the sample applications how the writing keeps reviewers' eyes on the ball by bringing them back to the main points the PIs want to make. Write yourself an insurance policy against human fallibility: if it's a key point, repeat it, then repeat it again.
So as you write, put the big picture squarely in your sights. When reviewers read your application, they'll look for the answers to three basic questions:
Savvy PIs create opportunities to drive their main points home. They don't stop at the Significance section to emphasize their project's importance, and they look beyond their biosketches to highlight their team's expertise.
Don't take a chance your reviewer will gloss over that one critical sentence buried somewhere in your Research Strategy or elsewhere. Write yourself an insurance policy against human fallibility: if it's a key point, repeat it, then repeat it again.
Add more emphasis by putting the text in bold, or bold italics (in the modern age, we skip underlining—it's for typewriters).
Here are more strategies from our successful PIs:
You can see many of these principles at work in the Approach section of the Application from Dr. William Faubion , "Inflammatory cascades disrupt Treg function through epigenetic mechanisms."
Our applicants not only wrote with their reviewers in mind they seemed to anticipate their questions. You may think: how can I anticipate all the questions people may have? Of course you can't, but there are some basic items (in addition to the "big three" listed above) that will surely be on your reviewers' minds:
Address these questions; then spend time thinking about more potential issues specific to you and your research—and address those too.
For applications, a picture can truly be worth a thousand words. Graphics can illustrate complex information in a small space and add visual interest to your application.
Look at our sample applications to see how the investigators included schematics, tables, illustrations, graphs, and other types of graphics to enhance their applications.
Consider adding a timetable or flowchart to illustrate your experimental plan, including decision trees with alternative experimental pathways to help your reviewers understand your plans.
If you plan to send one or more videos, you'll need to meet certain standards and include key information in your Research Strategy now.
To present some concepts or demonstrations, video may enhance your application beyond what graphics alone can achieve. However, you can't count on all reviewers being able to see or hear video, so you'll want to be strategic in how you incorporate it into your application.
Be reviewer-friendly. Help your cause by taking the following steps:
In addition to those considerations, create your videos to fit NIH’s technical requirements. Learn more in the SF 424 Form Instructions .
Next, as you write your Research Strategy, include key images from the video and a brief description.
Then, state in your cover letter that you plan to send video later. (Don't attach your files to the application.)
After you apply and get assignment information from the Commons, ask your assigned scientific review officer (SRO) how your business official should send the files. Your video files are due at least one month before the peer review meeting.
The primary audience for your application is your peer review group. Learn how to write for the reviewers who are experts in your field and those who are experts in other fields by reading Know Your Audience .
In the top-notch applications we reviewed, organization ruled but followed few rules. While you want to be organized, how you go about it is up to you.
Nevertheless, here are some principles to follow:
The Research Strategy's page limit—12 for R01s—is for the three main parts: Significance, Innovation, and Approach and your preliminary studies (or a progress report if you're renewing your grant). Other sections, for example, research animals or select agents, do not have a page limit.
Although you will emphasize your project's significance throughout the application, the Significance section should give the most details. Don't skimp—the farther removed your reviewers are from your field, the more information you'll need to provide on basic biology, importance of the area, research opportunities, and new findings.
When you describe your project's significance, put it in the context of 1) the state of your field, 2) your long-term research plans, and 3) your preliminary data.
In our Sample Applications , you can see that both investigators and reviewers made a case for the importance of the research to improving human health as well as to the scientific field.
Look at the Significance section of the Application from Dr. Mengxi Jiang , "Intersection of polyomavirus infection and host cellular responses," to see how these elements combine to make a strong case for significance.
After conveying the significance of the research in several parts of the application, check that
If you are either a new PI or entering a new area: be cautious about seeming too innovative. Not only is innovation just one of five review criteria, but there might be a paradigm shift in your area of science. A reviewer may take a challenge to the status quo as a challenge to his or her world view.
When you look at our sample applications, you see that both the new and experienced investigators are not generally shifting paradigms. They are using new approaches or models, working in new areas, or testing innovative ideas.
After finishing the draft innovation section, check that
In your Approach, you spell out a few sets of experiments to address each aim. As we noted above, it's a good idea to restate the key points you've made about your project's significance, its place in your field, and your long-term goals.
You're probably wondering how much detail to include.
If you look at our sample applications as a guide, you can see very different approaches. Though people generally used less detail than you'd see in a scientific paper, they do include some experimental detail.
Expect your assigned reviewers to scrutinize your approach: they will want to know what you plan to do and how you plan to do it.
NIH data show that of the peer review criteria, approach has the highest correlation with the overall impact score.
Look at the Application from Dr. Mengxi Jiang , "Intersection of polyomavirus infection and host cellular responses," to see how a new investigator handled the Approach section.
For an example of an experienced investigator's well-received Approach section, see the Application from Dr. William Faubion , "Inflammatory cascades disrupt Treg function through epigenetic mechanisms."
Especially if you are a new investigator, you need enough detail to convince reviewers that you understand what you are undertaking and can handle the method.
Be sure to lay out a plan for alternative experiments and approaches in case you get negative or surprising results. Show reviewers you have a plan for spending the four or five years you will be funded no matter where the experiments lead.
See the Application from Drs. Li and Samulski , "Enhance AAV Liver Transduction with Capsid Immune Evasion," for a strong Approach section covering potential. As an example, see section C.1.3.'s alternative approaches.
Here are some pointers for organizing your Approach:
Trim the fat—omit all information not needed to make your case. If you try to wow reviewers with your knowledge, they'll find flaws and penalize you heavily. Don't give them ammunition by including anything you don't need.
As you design your experiments, keep a running tab of the following essential data on a separate piece of paper:
Jotting this information down will help you Create a Budget and complete other sections later.
After finishing a draft Approach section, check that
If you are applying for a new application, include preliminary studies; for a renewal or a revision (a competing supplement to an existing grant), prepare a progress report instead.
Your preliminary studies show that you can handle the methods and interpret results. Here's where you build reviewer confidence that you are headed in the right direction by pursuing research that builds on your accomplishments.
Reviewers use your preliminary studies together with the biosketches to assess the investigator review criterion, which reflects the competence of the research team.
Give alternative interpretations to your data to show reviewers you've thought through problems in-depth and are prepared to meet future challenges. If you don't do this, the reviewers will!
Though you may include other people's publications, focus on your preliminary data or unpublished data from your lab and the labs of your team members as much as you can.
As we noted above, you can put your preliminary data anywhere in the Research Strategy that you feel is appropriate, but just make sure your reviewers will be able to distinguish it. Alternatively, you can create a separate section with its own header.
If you are applying for a renewal or a revision (a competing supplement to an existing grant), prepare a progress report instead of preliminary studies.
Create a header so your program officer can easily find it and include the following information:
Note: if you submit a renewal application before the due date of your progress report, you do not need to submit a separate progress report for your grant. However, you will need to submit it, if your renewal is not funded.
After finishing the draft, check that
References show your breadth of knowledge of the field. If you leave out an important work, reviewers may assume you're not aware of it.
Throughout your application, you will reference all relevant publications for the concepts underlying your research and your methods.
Read more about your Bibliography and References Cited at Add a Bibliography and Appendix .
Look over what you've written with a critical eye of a reviewer to identify potential questions or weak spots.
Enlist others to do that too—they can look at your application with a fresh eye. Include people who aren't familiar with your research to make sure you can get your point across to someone outside your field.
As you finalize the details of your Research Strategy, you will also need to return to your Specific Aims to see if you must revise. See Draft Specific Aims .
After you finish your Research Plan, you are ready to write your Abstract (called Project Summary/Abstract) and Project Narrative, which are attachments to the Other Project Information form.
These sections may be small, but they're important.
Be sure to omit confidential or proprietary information in these sections! When your application is funded, NIH enters your title and Abstract in the public RePORTER database.
Think brief and simple: to the extent that you can, write these sections in lay language, and include appropriate keywords, e.g., immunotherapy, genetic risk factors.
As NIH referral officers use these parts to direct your application to an institute for possible funding, your description can influence the choice they make.
Write a succinct summary of your project that both a scientist and a lay person can understand (to the extent that you can).
In your Project Narrative, you have only a few sentences to drive home your project's potential to improve public health.
Check out these effective Abstracts and Narratives from our R01 Sample Applications :
Have questions.
A program officer in your area of science can give you application advice, NIAID's perspective on your research, and confirmation that your proposed research fits within NIAID’s mission.
Find contacts and instructions at When to Contact an NIAID Program Officer .
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Methodology
Published on June 7, 2021 by Shona McCombes . Revised on September 5, 2024 by Pritha Bhandari.
A research design is a strategy for answering your research question using empirical data. Creating a research design means making decisions about:
A well-planned research design helps ensure that your methods match your research objectives and that you use the right kind of analysis for your data.
You might have to write up a research design as a standalone assignment, or it might be part of a larger research proposal or other project. In either case, you should carefully consider which methods are most appropriate and feasible for answering your question.
Step 1: consider your aims and approach, step 2: choose a type of research design, step 3: identify your population and sampling method, step 4: choose your data collection methods, step 5: plan your data collection procedures, step 6: decide on your data analysis strategies, other interesting articles, frequently asked questions about research design.
Before you can start designing your research, you should already have a clear idea of the research question you want to investigate.
There are many different ways you could go about answering this question. Your research design choices should be driven by your aims and priorities—start by thinking carefully about what you want to achieve.
The first choice you need to make is whether you’ll take a qualitative or quantitative approach.
Qualitative approach | Quantitative approach |
---|---|
and describe frequencies, averages, and correlations about relationships between variables |
Qualitative research designs tend to be more flexible and inductive , allowing you to adjust your approach based on what you find throughout the research process.
Quantitative research designs tend to be more fixed and deductive , with variables and hypotheses clearly defined in advance of data collection.
It’s also possible to use a mixed-methods design that integrates aspects of both approaches. By combining qualitative and quantitative insights, you can gain a more complete picture of the problem you’re studying and strengthen the credibility of your conclusions.
As well as scientific considerations, you need to think practically when designing your research. If your research involves people or animals, you also need to consider research ethics .
At each stage of the research design process, make sure that your choices are practically feasible.
Within both qualitative and quantitative approaches, there are several types of research design to choose from. Each type provides a framework for the overall shape of your research.
Quantitative designs can be split into four main types.
Type of design | Purpose and characteristics |
---|---|
Experimental | relationships effect on a |
Quasi-experimental | ) |
Correlational | |
Descriptive |
With descriptive and correlational designs, you can get a clear picture of characteristics, trends and relationships as they exist in the real world. However, you can’t draw conclusions about cause and effect (because correlation doesn’t imply causation ).
Experiments are the strongest way to test cause-and-effect relationships without the risk of other variables influencing the results. However, their controlled conditions may not always reflect how things work in the real world. They’re often also more difficult and expensive to implement.
Qualitative designs are less strictly defined. This approach is about gaining a rich, detailed understanding of a specific context or phenomenon, and you can often be more creative and flexible in designing your research.
The table below shows some common types of qualitative design. They often have similar approaches in terms of data collection, but focus on different aspects when analyzing the data.
Type of design | Purpose and characteristics |
---|---|
Grounded theory | |
Phenomenology |
Your research design should clearly define who or what your research will focus on, and how you’ll go about choosing your participants or subjects.
In research, a population is the entire group that you want to draw conclusions about, while a sample is the smaller group of individuals you’ll actually collect data from.
A population can be made up of anything you want to study—plants, animals, organizations, texts, countries, etc. In the social sciences, it most often refers to a group of people.
For example, will you focus on people from a specific demographic, region or background? Are you interested in people with a certain job or medical condition, or users of a particular product?
The more precisely you define your population, the easier it will be to gather a representative sample.
Even with a narrowly defined population, it’s rarely possible to collect data from every individual. Instead, you’ll collect data from a sample.
To select a sample, there are two main approaches: probability sampling and non-probability sampling . The sampling method you use affects how confidently you can generalize your results to the population as a whole.
Probability sampling | Non-probability sampling |
---|---|
Probability sampling is the most statistically valid option, but it’s often difficult to achieve unless you’re dealing with a very small and accessible population.
For practical reasons, many studies use non-probability sampling, but it’s important to be aware of the limitations and carefully consider potential biases. You should always make an effort to gather a sample that’s as representative as possible of the population.
In some types of qualitative designs, sampling may not be relevant.
For example, in an ethnography or a case study , your aim is to deeply understand a specific context, not to generalize to a population. Instead of sampling, you may simply aim to collect as much data as possible about the context you are studying.
In these types of design, you still have to carefully consider your choice of case or community. You should have a clear rationale for why this particular case is suitable for answering your research question .
For example, you might choose a case study that reveals an unusual or neglected aspect of your research problem, or you might choose several very similar or very different cases in order to compare them.
Data collection methods are ways of directly measuring variables and gathering information. They allow you to gain first-hand knowledge and original insights into your research problem.
You can choose just one data collection method, or use several methods in the same study.
Surveys allow you to collect data about opinions, behaviors, experiences, and characteristics by asking people directly. There are two main survey methods to choose from: questionnaires and interviews .
Questionnaires | Interviews |
---|---|
) |
Observational studies allow you to collect data unobtrusively, observing characteristics, behaviors or social interactions without relying on self-reporting.
Observations may be conducted in real time, taking notes as you observe, or you might make audiovisual recordings for later analysis. They can be qualitative or quantitative.
Quantitative observation | |
---|---|
There are many other ways you might collect data depending on your field and topic.
Field | Examples of data collection methods |
---|---|
Media & communication | Collecting a sample of texts (e.g., speeches, articles, or social media posts) for data on cultural norms and narratives |
Psychology | Using technologies like neuroimaging, eye-tracking, or computer-based tasks to collect data on things like attention, emotional response, or reaction time |
Education | Using tests or assignments to collect data on knowledge and skills |
Physical sciences | Using scientific instruments to collect data on things like weight, blood pressure, or chemical composition |
If you’re not sure which methods will work best for your research design, try reading some papers in your field to see what kinds of data collection methods they used.
If you don’t have the time or resources to collect data from the population you’re interested in, you can also choose to use secondary data that other researchers already collected—for example, datasets from government surveys or previous studies on your topic.
With this raw data, you can do your own analysis to answer new research questions that weren’t addressed by the original study.
Using secondary data can expand the scope of your research, as you may be able to access much larger and more varied samples than you could collect yourself.
However, it also means you don’t have any control over which variables to measure or how to measure them, so the conclusions you can draw may be limited.
As well as deciding on your methods, you need to plan exactly how you’ll use these methods to collect data that’s consistent, accurate, and unbiased.
Planning systematic procedures is especially important in quantitative research, where you need to precisely define your variables and ensure your measurements are high in reliability and validity.
Some variables, like height or age, are easily measured. But often you’ll be dealing with more abstract concepts, like satisfaction, anxiety, or competence. Operationalization means turning these fuzzy ideas into measurable indicators.
If you’re using observations , which events or actions will you count?
If you’re using surveys , which questions will you ask and what range of responses will be offered?
You may also choose to use or adapt existing materials designed to measure the concept you’re interested in—for example, questionnaires or inventories whose reliability and validity has already been established.
Reliability means your results can be consistently reproduced, while validity means that you’re actually measuring the concept you’re interested in.
Reliability | Validity |
---|---|
) ) |
For valid and reliable results, your measurement materials should be thoroughly researched and carefully designed. Plan your procedures to make sure you carry out the same steps in the same way for each participant.
If you’re developing a new questionnaire or other instrument to measure a specific concept, running a pilot study allows you to check its validity and reliability in advance.
As well as choosing an appropriate sampling method , you need a concrete plan for how you’ll actually contact and recruit your selected sample.
That means making decisions about things like:
If you’re using a probability sampling method , it’s important that everyone who is randomly selected actually participates in the study. How will you ensure a high response rate?
If you’re using a non-probability method , how will you avoid research bias and ensure a representative sample?
It’s also important to create a data management plan for organizing and storing your data.
Will you need to transcribe interviews or perform data entry for observations? You should anonymize and safeguard any sensitive data, and make sure it’s backed up regularly.
Keeping your data well-organized will save time when it comes to analyzing it. It can also help other researchers validate and add to your findings (high replicability ).
On its own, raw data can’t answer your research question. The last step of designing your research is planning how you’ll analyze the data.
In quantitative research, you’ll most likely use some form of statistical analysis . With statistics, you can summarize your sample data, make estimates, and test hypotheses.
Using descriptive statistics , you can summarize your sample data in terms of:
The specific calculations you can do depend on the level of measurement of your variables.
Using inferential statistics , you can:
Regression and correlation tests look for associations between two or more variables, while comparison tests (such as t tests and ANOVAs ) look for differences in the outcomes of different groups.
Your choice of statistical test depends on various aspects of your research design, including the types of variables you’re dealing with and the distribution of your data.
In qualitative research, your data will usually be very dense with information and ideas. Instead of summing it up in numbers, you’ll need to comb through the data in detail, interpret its meanings, identify patterns, and extract the parts that are most relevant to your research question.
Two of the most common approaches to doing this are thematic analysis and discourse analysis .
Approach | Characteristics |
---|---|
Thematic analysis | |
Discourse analysis |
There are many other ways of analyzing qualitative data depending on the aims of your research. To get a sense of potential approaches, try reading some qualitative research papers in your field.
If you want to know more about the research process , methodology , research bias , or statistics , make sure to check out some of our other articles with explanations and examples.
Statistics
Research bias
A research design is a strategy for answering your research question . It defines your overall approach and determines how you will collect and analyze data.
A well-planned research design helps ensure that your methods match your research aims, that you collect high-quality data, and that you use the right kind of analysis to answer your questions, utilizing credible sources . This allows you to draw valid , trustworthy conclusions.
Quantitative research designs can be divided into two main categories:
Qualitative research designs tend to be more flexible. Common types of qualitative design include case study , ethnography , and grounded theory designs.
The priorities of a research design can vary depending on the field, but you usually have to specify:
A sample is a subset of individuals from a larger population . Sampling means selecting the group that you will actually collect data from in your research. For example, if you are researching the opinions of students in your university, you could survey a sample of 100 students.
In statistics, sampling allows you to test a hypothesis about the characteristics of a population.
Operationalization means turning abstract conceptual ideas into measurable observations.
For example, the concept of social anxiety isn’t directly observable, but it can be operationally defined in terms of self-rating scores, behavioral avoidance of crowded places, or physical anxiety symptoms in social situations.
Before collecting data , it’s important to consider how you will operationalize the variables that you want to measure.
A research project is an academic, scientific, or professional undertaking to answer a research question . Research projects can take many forms, such as qualitative or quantitative , descriptive , longitudinal , experimental , or correlational . What kind of research approach you choose will depend on your topic.
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How to write a research proposal.
For many subjects, writing a research proposal is a key part of your postgraduate research degree application. This is your opportunity to demonstrate your knowledge and how you want to contribute to the subject.
We use the proposal to match your interest with an appropriate supervisor to make sure you have the best support during your degree. We are looking for originality and relevance when assessing the overall quality of your application, including your suitability for this level of study.
We highly recommend that you explore which academic researchers are working in your subject area and contact them first with any questions, this is a good opportunity to firm up your ideas, further explore the topic and talk with others in your field.
A research proposal is a concise and coherent document, usually between 1500 – 2000 words, maximum 4 x A4 pages. You should outline your proposed research project, why it is of relevance (rationale), what research questions are you going to ask, what you hope to achieve (aims and objectives) and how you plan to carry out your research (methodology).
This page is your comprehensive guide to writing a research proposal and will cover seven key elements of a proposal:
You should include a title for your thesis in the proposal.
Your title may change as you further your research, but at this stage it's important to state succinctly what your research will cover.
Briefly identify your idea, what is your ‘research question’?
It could be the theory you want to test, or a more open question. It would be useful to give examples, 3-5 research questions from recently completed PhDs in a relevant field. You should discuss the context around your research topic, such as current debates and issues. The important thing here is that you introduce your research project with clarity and in a way that stimulates your reader’s interest.
Demonstrate the significance of your research project.
To do this, explain why your research is important, what makes it original and how it will contribute to existing knowledge within its field.
What are you hoping to achieve with your research?
Try and produce four or five bullet points of objectives for each aim, which demonstrate your understanding of how to meet your research aims. You can use the SMART acronym to support you in creating objectives, which involves making your objectives: specific, measurable, achievable, realistic and time specific.
Demonstrate your knowledge and awareness of relevant literature
A literature review is a discussion and evaluation of academic literature or a relevant body of knowledge (for practice-based research). You should use this section of your proposal to show that you are familiar with work in your chosen topic area and that your research will contribute something new and/or meaningful to it.
Explain how you plan to carry out your research
The methodology section of your research proposal is where you explain how you plan to carry out your research. This should include the research techniques and methods you will use, why these are most appropriate and how you will implement them. You should also include a discussion of the research strategy (general approach) you will adopt, with appropriate justification, including the analytical approach. The section should also contain the range of research findings that will be gathered from the research and how you will analyse or evaluate this. For practice based research, include how will your portfolio of artefacts, code, software, compositions, computer games etc. articulate the originality of your research?
Reference all the materials you used in the preparation your proposal
You may also list references that you didn't directly draw upon, to demonstrate awareness of literature relating to your proposed material.
Your research proposal will be read by academics with an interest in your field of research. You are therefore encouraged to contact members of academic staff informally prior to submitting your application to discuss to your research proposal. This can often speed up the applications process, as you can identify the member(s) of staff you have spoken to on your research degree application form.
Use the Huddersfield Research Portal to browse academic staff profiles and search using key words to find staff members who share your research interests.
Your research proposal is your starting point, and we understand that as your idea develop s , your proposed research is likely to change. As such, you will not be obliged to adhere to the specifics of your proposal if you are offered a place as a research degree candidate at Huddersfield. However, as the proposal is the foundation of your working relationship with your supervisor(s), you will need to discuss any changes with them first.
Once you have written your research proposal you will need to complete an application form. Look at our how to apply webpage for more information.
Our step-by-step guide will help you to make the most out of your application for a research degree
Explore our funding options, including scholarships and Doctoral Loans.
Cathy binger and lizbeth finestack, doi: 10.1044/cred-pvd-path006.
The following is a transcript of the presentation videos, edited for clarity.
Presented by Cathy Binger
First we’re going to talk about what a research plan is, why it’s important to write one, and why five years—why not one year, why not ten years. So we’ll do some of those basic things, then Liza is going to get down and dirty into the nitty-gritty of “now what” how do I go about writing that research plan.
First of all, what is a research plan? I’m sure some of you have taken a stab at these already. In case you haven’t, this is a real personalized map that relates your projects to goals. It’s exactly what it sounds like, it’s a plan of how you’re going to go about doing your research. It doesn’t necessarily just include research.
It’s something that you need to put a little time and effort into in the beginning. And then, if you don’t revisit it, it’s really a useless document. It’s something that you need to come back to repeatedly, at least annually, and you need to make it visible. So it’s not a document that sits around and once a year you pull it out and look at it.
It can and should be designed, especially initially, with the help of a mentor or colleague. And it does serve multiple purposes, with different lengths and different amounts of detail.
I forgot to say, too, getting started, the slides for this talk were started using as a jumping off point Ray Kent’s talk from last year. So some of the slides we’ve borrowed from him, so many thanks to him for that.
But why do we want to do a research plan? Well, to me the big thing is the vision. Dr. Barlow talked this morning about your line of research and really knowing where you want to go, and this is where that shows up with all the nuts and bolts in place.
What do you want to accomplish? What do you want to contribute? Most of you are at the stage in your career where maybe you have started out with that you want to change the world scenario and realized that whatever you wanted your first research project to be, really, is your entire career. You need to get that down to the point where it is manageable projects that you can do—this is where you map out what those projects are and set reasonable timelines for that.
You want to really demonstrate your independent thinking and your own creativity, whatever that is that you then establish as a PhD student, postdoc, and beyond—this is where you come back to, okay, here’s how I’m going to go about achieving all of that.
This next point, learning to realistically gauge how long it takes to achieve each goal, this for most of us is a phenomenally challenging thing to do. Most of us really overestimate what we can do in a certain amount of time, and we learn the hard way that you can’t, and that’s another reason why you keep coming back to these plans repeatedly and learning over time what’s really manageable, what’s really doable, so we can still reach our goals and be very strategic about how we do that.
When you’re not strategic, you just don’t meet the goals. Your time gets sucked into so many different things. We need to be really practical and strategic.
Everything we do is going to take longer than we think.
I think this last one is something that maybe we don’t talk about enough. Really being honest with ourselves about the role of research in our lives. Not all of you are at very high-level research universities. Some of you have chosen to go elsewhere, where research maybe isn’t going to be playing the same role as it is for other people. The research plan for someone at an R One research intensive university is going to look quite different from someone who is at a primary teaching university. We need to be open and practical about that.
Getting sidetracked. I love this picture, I just found this picture the other day. This feels like my life. You can get pulled in so many different directions once you are a professor. You will get asked to do a thousand different things. There are lots of great opportunities that are out there. Especially initially, it’s tempting to say yes to all of them. But if you’re going to be productive, you have to be very strategic. I’m going to be a little bit sexist against my own sex here for a minute, but my observation has been that women tend to fall into this a little bit more than men do in wanting to say yes and be people pleasers for everything that comes down the pike.
It is a professional skill to learn how to say no. And to do that in such a way that you are not burning bridges as you go down the path. That is a critical skill if you are going to be a successful researcher. I can’t tell you how many countless people I’ve seen who are very bright, very dedicated, have the skills that it takes in terms of doing the work—but then they are not successful because they’ve gotten sidetracked and they try to be too much of a good citizen, give too much service to the department, too much “sure I’ll take on that extra class” or whatever else comes down the line.
I just spoke with a professor recently who had something like five hours a week of office hours scheduled every single week for one class. Margaret is shaking her head like “are you kidding?” That’s crazy stuff. But he wanted to really support his students. His students loved him, but he was not going to get tenure. That’s the story.
So we have to be very thoughtful and strategic, and what can help you with this, and ASHA very firmly recognizes which is why we’re here—is that your mentors in your life should be there to help you learn these skills and learn what to say yes to, and learn what to say no to. I’ve learned to say things like, “Let me check with my mentor before I agree to that.” And it gives you a way out of that. The line that I use a lot is, “Let me check with my department head” or, I just said this to somebody last week, “I just promised my department head two weeks ago that I would only do X number of external workshops this year, so I’m going to have to turn this one down.” Those are really important skills to develop.
And having that research plan in place that you can go back to and say, know what, it’s not on my plan I can’t do it. If I do it—I have to go back to my research plan and figure out what I’m going to kick off in order to review this extra paper, in order to take on this extra task. The plan also helps me to know exactly what to say no to. And to be very direct and have a very strong visual.
I actually have my research plan up on a giant whiteboard in my office, so I can always go back to that and see where I am, and I can say, “Okay, what am I going to kick off of here? Nothing. Okay, I have to say no to whatever comes up.” Just be strategic. This is where I see most beginning professors really end up taking that wrong fork in the road—taking that right instead of that left, and ending up not being the successful researcher that they wanted to be.
What evidence supports research planning? This was something Ray Kent had found. That a recent analysis had found that postdoc scholars who developed a written plan with their postdoc advisers were much more productive than those who didn’t. And your performance during a postdoc—and I know many of you have either finished your postdoc or decided not to—so more simply, just during those first six years, the decisions you make really do establish the foundation for the rest of your professional life. It’s very important to get started and get off on the right foot.
I love this quote, I just found it the other day: “Productivity is never an accident. It is always the result of a commitment to excellence, intelligent planning, and focused effort.”
What we see with productivity is that postdoc scholars who developed written productivity expectations with their advisers were more productive than those who didn’t. You see 23% more papers submitted, 30% more first-author papers, and more grant proposals as well.
So why five years? I’m going to start with number 5. It’s long enough to build a program of research, but short enough to deal with changing circumstances. That’s really the long and the short of the matter. As well as these other things as well that I won’t take the time to go through point by point.
Presented by Lizbeth Finestack
So, thinking about a five-year research plan, I like to think about it like your major “To Do List.” It’s what you’re going to accomplish in five years. Start thinking: What is going to be on my to do list?
You can also think about it like: Okay, I have research. I’ve got to do research. Maybe think about this as one big bucket, or maybe one humongous silo. I have some farm themes going on. Cathy was just on a farm, so I thought I’d tie that in.
So here’s your big silo. You can call that your research silo.
But more realistically, you need to think about it like separate buckets, separate silos, where research is just one of those. Just like Cathy indicated, there’s going to be lots of other things coming up that you’re going to have to manage. They are going to have to be on your to do list, you need to figure out how to fit everything in.
What all those other buckets or silos are, are really going to depend on your job. And maybe the size of the silos, and the size of the buckets are going to vary depending on where you are, what the expectations are at your institution.
That’s important to keep in mind, and Cathy said this too, it’s not going to be the same for everyone. The five-year plan has to be your plan, your to do list.
Here are some buckets or some silos that I have on my list and the way that I break it up, this is just one example, take it or leave it.
The first three are all very closely related, right? Thinking about grants, thinking about research, thinking about publications. I’m going to define grants as actual writing, getting the grant, getting the money.
Research is what you’re going to do once you get that money. Steps you need to take before you are getting the money. Any sorts of projects, the lab work, that’s why I have the lab picture there. Of course, publications are part of the product—what’s coming out of the research—but it also cycles in because you need publications to support that you are a researcher to apply for funding and show you have this line of research that you’ve established and you’ll be able to continue. So, those first three are really closely related. And that’s where I’ll go next. And then have teaching and service you see here at the bottom.
So thinking about research, in that broad sense. As you’re writing your five-year plan you’re going to want to think of, “What’s my long-term goal?” There’s lots of ways to think of long-term goals. You could think, before I die, this is what I want to accomplish. For me I kind of have that. My long-term goal is that I’m going to find the most effective and efficient interventions for kids with language impairment. Huge broad goal. But within that I can start narrowing it down.
Where am I within that? Within the next five years or maybe the next ten years, what is it I want to accomplish towards that goal. Then start thinking about: In order to accomplish that goal, what are the steps I need to take? Starting to break it down a little bit. Then it’s also going to be really important to think: where are you going to start? Where are you now? What do you need to have happen? And is it reasonable to accomplish this goal within five years? Is it going to take longer? Maybe you could do it in a couple years? Start thinking about the timeline that’s going to work for you.
Then thinking about your goals—and everyone’s program is going to be different, like I said, there’s going to be a lot of individual needs, preferences. So it might be the case that you have this one long-term goal that you’re aiming for. Long-term goal in the sense of, maybe, what you want to study in your R01, perhaps something like that. But in order to get to that point, you’re going to have several short-term goals that need to be accomplished.
Or maybe it’s the case that you have two long-term goals. And with each of those you’re going to have multiple short-term goals that you’re working on. Maybe the scope of each of these long-term goals is a little bit less than in that first scenario.
Start thinking about my research, what I want to do, and how it might fit into these different circumstances.
Also thinking about your goals, this is a slide from Ray Kent from last year, was thinking about the different types of projects you might want to pursue, and thinking about ones that are definitely well on your way. They are safe bets. You have some funding. They are going to lead directly into your longer-term plan.
Those are going to be your front burner—things you can easily focus on. That said, don’t put everything there.
You can also have things on the back burner. Things that really excite you, might have huge benefits, big pay. But you don’t want to spend all of your time there because they could be pretty risky.
Start thinking about where you’re putting your time. Are you putting it all on this high-risk thing that if it doesn’t pan out you’re going to be in big trouble? Or balancing that somewhat with your front burner. Making that steady progress that will lead directly to help fund an R01 or whatever the mechanism that you’re looking for.
Then, thinking about your goals—if you have multiple long-term goals, or thinking about your short-term goals, you could think about your process. Is it something where you need to do study 1 then study 2, then study 3—each of those building on each other, that’s leading to that long-term goal. In many cases, that is the case, where you have to get information from the first study which is going to lead directly to the second study and so forth.
Or is it the case that you can be working on these three short-term goals simultaneously? Spreading your resources at the same time. Maybe it will take longer for any one study, but across a longer period of time you’ll get the information that you need to reach that long-term goal.
Lots and lots of different ways to go about it. The important thing is to think about what your needs are and what makes the most sense for you.
Here’s my own little personal example. Starting over here, I have my dissertation study. My dissertation study was this early efficacy study looking at one treatment approach using novel forms that really can’t generalize to anything too useful, but it was important.
Then I did a follow up study, where I was taking that same paradigm, looking to see where kids with typical development perform on the task. So I have these two studies, and they served as my preliminary studies for an R03. So I just finished an R03 where I was looking at different treatment approaching for kids with primary language impairment. At the same time, while conducting my R03, I’m also looking at some different approaches that might help with language development. Also conducting surveys to see what current practices are.
I have these three projects going on simultaneously, that are going to lead to a bigger pilot study that are going to feed directly into my R01. All of this will serve as preliminary data to go into an R01.
Start thinking about your projects, what you have. Maybe starting with your dissertation project or work that you’re doing as a postdoc as seeing how that can feed into your long-term goal. And really utilizing it, building on it, to your benefit.
That’s all fine and dandy. You can draw these great pictures. But you still have to break it down some more. It’s not like, “Oh, I’m just going to do this project.” There are other steps involved, and lots of the time these steps are going to be just as time consuming.
Starting to think about: well, if you have the funding. Saying, “I want to do this study, but I have no money to do it.” What are the steps in order to get the money to do it? Do you have a pilot study? What do you need?
Start thinking about the resources? Do you need to develop stimuli, protocols, procedures? Start working on that. All of these can be very time consuming, and if you don’t jump on that immediately, it’s going to delay when you can start that project.
Thinking about IRB. Relationships for recruitment, if you’re working with special populations especially? Do you have necessary personnel, grad students, people to help you with the project? Do you need to train them? What’s the timeline of the study?
Start thinking about all these pieces, and how they are going to fit in that timeline.
This is one way that might help you start thinking about the resources that you need. This is online—Ray Kent had it in his talk, and when I was doing my searches I came across it too and I have the website at the end. Just different ways to think about the resources you might need.
Let’s talk about mapping it out. You have your long-term goal. You have your short-term goals. You’re breaking it down thinking about all those little steps that you need to accomplish. We gotta put it on a calendar. When is it going to happen?
This is an example—you might have your five years. Each month plugging in what are you going to accomplish by that time. Maybe it’s when are grant applications due? It’s going to be important to put those on there to go what do I need to do to make that deadline. Maybe it’s putting when you’re going to get publications out. Things like that.
Honestly, looking at this drives me a little bit crazy, it seems a bit overwhelming. But it’s important to get to these details.
This is an example from, I did Lessons for Success a few years ago and they had their format for doing your plan. I wrote out all my projects, started thinking about all the different aspects. So if something like this works for you, by all means you could use that type of procedure.
Here’s a grid that Ray Kent showed last year. We’re breaking it down by semester. Thinking about each of your semesters, what manuscripts you’re going to be working on, what data collection, your grant applications. Starting to get into some of those other buckets: course preparation, conference submissions.
We also need to include teaching and service.
You probably can’t see this very well. This is similar to that last slide Ray Kent had used last year.
I have my five year plan: what studies I want to accomplish, start thinking about breaking it down.
Then at the beginning of each semester, I fill in a grid like this. Where at the top, I have each of my buckets. I have my grant bucket, my writing bucket which is going to include publications. I also include doing article reviews in my writing bucket, because that’s my writing time. My teaching bucket, my research bucket. Then at the end, my service bucket.
At the beginning of the semester, I think about the big things I want to accomplish. I list those at the top. Then at the beginning of each month, I say, okay what are the things I’m going to accomplish this month, write those in. Then at the beginning of each week, I start looking at whether I’m dedicating any time to the things I said I was going to do that month. I start listing those out saying, this is the amount of time I’m going to spend on that. Of course, I have to take data on what I actually do, so I plug in how much time I’m spending on each of the tasks. Then I graph it, because that’s rewarding to see how much time you’re spending on things, and I get a little side-tracked sometimes.
Think about a system that will help you keep on track, to make sure you’re meeting the goals that you want to meet in terms of your research. But also getting the other things done that you need to get done in terms of teaching and service.
Compiled from comments made during the Pathways 2014 and 2015 conferences. (Video unavailable.)
Building Flexibility into Your Five-Year Plan Comments by Ray Kent, University of Wisconsin-Madison
The five-year plan is not a contract. It’s a map or a compass. A general set of directions to help you plan ahead. It’s not even a contract with yourself, because it will inevitably be revised in some ways.
Sometimes cool things land in your lap. Very often it turns out that through serendipity or whatever else, you find opportunities that are very enticing. Some of those can be path to an entirely new line of research. Some of them can be a huge distraction and a waste of time. It’s a really cool part of science that new things come along. If we put on blinders and say, “I’m committed to my research plan,” and we don’t look to the left or the right, we’re really robbing ourselves of much of the richness of the scientific life. Science is full of surprises, and sometimes those surprises are going to appear as research projects. The problem is you don’t want to redirect all your time and resources to those until you’re really sure they are going to pay off. I personally believe, some of those high risk but really appealing projects are things you can nurse along. You can devote some time and build some collaborations – far enough to determine how realistic and viable they are. That’s important because those things can be the core of your next research program.
It’s very easy to get overcommitted. We all know people who always say “yes”—and we know those people, and they are often disappointing because they can’t get things done. It’s important to have new directions, but limit them. Don’t say, “I’m going to have 12 new directions this year.” Maybe one or two. Weigh them carefully. Talk about them with other people to get a judgment about how difficult it might be to implement them. It enriches science: not only our knowledge, but the way we acquire new knowledge. A psychologist, George Miller—this is the guy with the magic number 7 +- 2—when we interviewed him years ago at Boystown, he said, “My conviction is that everybody should be able to learn a new area of study within three months.” That’s what he thought for a scientist was a goal.
The idea is that you can learn new things. And that’s very important because when you think of it in terms of a 30-year career, how likely is it that the project that you’re undertaking at age 28 is the same project you’ll be working on at age 68? Not very likely. You’re going to be reinventing yourself as a scientist. And reinventing yourself is one of the most important things you can do, because otherwise you’re going to be dead wood. Some projects aren’t worth carrying beyond five or ten years. They have an expiration date.
Building Risk into Your Five-Year Plan Comments by Ray Kent, University of Wisconsin-Madison
Your doctoral study should generally be low-risk research. As you move into a postdoctoral fellowship, think about having two studies—one low-risk, one high-risk with a potential for high impact. At this time you can begin to play the risk factor a little bit differently.
When you are tenure-track you can have a mix of significance with low-risk and high-risk studies. And when you are tenured, then you can go for high risk, clinical trials, and collaborations. Because you have established your independence, so you do not need to worry about losing your visibility. You can be recognized as a legitimate member of the team.
As you plan your career, you should take risk into account. Just as you manage your money taking risk into account, we should manage our careers taking risk into account. I have met people who did not really think about that, and they embarked on some very risky procedures and wasted a lot of time and resources with very little to show for it. For example, don’t put everything into an untested technology basket. You want to be using state of the art technology, but you want to be sure it is going to give you what you need.
Other Formats and Uses of Your Research Plan Audience Comments
Avoiding Overcommitment Audience Comments
Staying on Schedule with Reading, Writing, and Reviewing Audience Comments
Golash-Boza, T. (2014). In Response to Popular Demand, More on the 5-Year Plan. The Professor Is In . Available at http://theprofessorisin.com/2014/05/09/in-response-to-popular-demand-more-on-the-5-year-plan
Kelsky, K. (2010). The Five-Year Plan for Tenure-Track Professors. Get a life, PhD . Available at http://getalifephd.blogspot.com/2010/07/five-year-plan-for-tenure-track.html
National Association of Geoscience Teachers (NAGT). (2012). Planning Worksheets . Planning your Research Program (Available from the Science Education Resource Center at Carelton College Website at http://serc.carleton.edu/).
Pfirman, S., Bell, R., Culligan, P., Balsam, P. & Laird, J. (2008) . Maximizing Productivity and Recognition , Part 3: Developing a Research Plan. Science Careers. Available at http://sciencecareers.sciencemag.org/career_magazine/previous_issues/articles/2008_10_10/caredit.a0800148
Cathy Binger University of New Mexico
Lizbeth Finestack University of Minnesota
Based on a presentation and slides originally developed by Ray Kent, University of Wisconsin-Madison.
Presented at Pathways (2015). Hosted by the American Speech-Language-Hearing Association Research Mentoring Network.
Pathways is sponsored by the National Institute on Deafness and Other Communication Disorders (NIDCD) of the National Institutes of Health (NIH) through a U24 grant awarded to ASHA.
Copyrighted Material. Reproduced by the American Speech-Language-Hearing Association in the Clinical Research Education Library with permission from the author or presenter.
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Here's an example outline of a research plan you might put together: Project title. Project members involved in the research plan. Purpose of the project (provide a summary of the research plan's intent) Objective 1 (provide a short description for each objective) Objective 2. Objective 3.
If you want to learn how to write your own plan for your research project, consider the following seven steps: 1. Define the project purpose. The first step to creating a research plan for your project is to define why and what you're researching. Regardless of whether you're working with a team or alone, understanding the project's purpose can ...
Research proposal examples. Writing a research proposal can be quite challenging, but a good starting point could be to look at some examples. We've included a few for you below. Example research proposal #1: "A Conceptual Framework for Scheduling Constraint Management".
Step 4: Write a summary. Prepare a project summary that serves as your research project guide. This invaluable tool aids recruitment interviews, meetings, and field studies. With a well-structured summary, you can stay on track during interactions, ensuring you address key project aspects.
It details the research process, from defining the problem statement and research objectives to selecting the research method and outlining the expected outcomes. This plan serves as a blueprint for your research activities, ensuring a focused and efficient approach. The objective, methodology, and method depend on the context of your research.
The plan can take many forms: a written outline, a narrative, a visual/concept map or timeline. It's a document that will change and develop as you conduct your research. Components of a research plan. 1. Research conceptualization - introduces your research question. 2. Research methodology - describes your approach to the research question. 3.
The plan should also be detailed and thorough, with a diligent set of criteria to formulate your research efforts. How To Write a Research Plan (With Template and Examples) How to write a research plan · 1. Define the project purpose · 2. Identify individual objectives · 3. Select a research method · 4.
Make sure you can ask the critical what, who, and how questions of your research before you put pen to paper. Your research proposal should include (at least) 5 essential components: Title - provides the first taste of your research, in broad terms. Introduction - explains what you'll be researching in more detail.
Writing a Research Plan. To write out your research plan, begin by restating your main thesis question and any secondary ones. They may have changed a bit since your original proposal. If these questions bear on a particular theory or analytic perspective, state that briefly. In the social sciences, for example, two or three prominent theories ...
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.
The purpose of the research proposal (its job, so to speak) is to convince your research supervisor, committee or university that your research is suitable (for the requirements of the degree program) and manageable (given the time and resource constraints you will face). The most important word here is "convince" - in other words, your ...
How to plan a UX research study. This is a step-by-step guide to planning user research. It explains the process by which a research plan comes together into a shareable document (like the one above) that enables team alignment, accountability, and efficiency throughout your study. 1. Identify your research goals.
Introduces your topic. States your problem statement and the questions your research aims to answer. Provides context for your research. In a research proposal, an introduction can be a few paragraphs long. It should be concise, but don't feel like you need to cram all of your information into one paragraph.
Add details to each section heading you created in the beginning. Ensure your sentences are concise and use plain language. A research proposal usually contains about 2,000 to 4,000 words or four to seven pages. Don't use too many technical terms and abbreviations assuming that the readers would know them.
How to create a research plan. Here are seven steps you can follow to create a research proposal: 1. Define a hypothesis. A hypothesis is a statement that aims to explain the cause of a phenomenon or problem. To write a hypothesis, it's necessary for you to identify this phenomenon or problem and describe why you want to explain it.
Research proposal aims. Relevance. Show your reader why your project is interesting, original, and important. Context. Demonstrate your comfort and familiarity with your field. Show that you understand the current state of research on your topic. Approach. Make a case for your methodology. Demonstrate that you have carefully thought about the ...
A quality example of a research proposal shows one's above-average analytical skills, including the ability to coherently synthesize ideas and integrate lateral and vertical thinking. Communication skills. The proposal also demonstrates your proficiency to communicate your thoughts in concise and precise language.
The 7 core components of a user research plan: The background of the research project detailing why we are conducting this study. This can also include the internal stakeholders involved. The objectives and goals of the research, what the teams want to learn from the research, or what they would like the outcome to be.
Follow Examples. As you read this page, look at our Sample Applications and More to see some of the different strategies successful PIs use to create an outstanding Research Plan. Keeping It All In Sync. Writing in a logical sequence will save you time. Information you put in the Research Plan affects just about every other application part.
Step 4: Create a research design. The research design is a practical framework for answering your research questions. It involves making decisions about the type of data you need, the methods you'll use to collect and analyze it, and the location and timescale of your research. There are often many possible paths you can take to answering ...
One person I spoke to said that a research plan should be "about three pages of 1.5-spaced text, and NEVER more than five." Another source prefers "three semi-independent (but related) sub-proposals not more than about three to four pages (single-spaced) each with a half page of important and relevant references."
Step 1: Consider your aims and approach. Step 2: Choose a type of research design. Step 3: Identify your population and sampling method. Step 4: Choose your data collection methods. Step 5: Plan your data collection procedures. Step 6: Decide on your data analysis strategies. Other interesting articles.
It would be useful to give examples, 3-5 research questions from recently completed PhDs in a relevant field. You should discuss the context around your research topic, such as current debates and issues. The important thing here is that you introduce your research project with clarity and in a way that stimulates your reader's interest.
Presented by Cathy Binger. First we're going to talk about what a research plan is, why it's important to write one, and why five years—why not one year, why not ten years. So we'll do some of those basic things, then Liza is going to get down and dirty into the nitty-gritty of "now what" how do I go about writing that research plan.