Purdue Online Writing Lab College of Liberal Arts

Graduate School Applications: Writing a Research Statement

OWL logo

Welcome to the Purdue OWL

This page is brought to you by the OWL at Purdue University. When printing this page, you must include the entire legal notice.

Copyright ©1995-2018 by The Writing Lab & The OWL at Purdue and Purdue University. All rights reserved. This material may not be published, reproduced, broadcast, rewritten, or redistributed without permission. Use of this site constitutes acceptance of our terms and conditions of fair use.

What is a Research Statement?

A research statement is a short document that provides a brief history of your past research experience, the current state of your research, and the future work you intend to complete.

The research statement is a common component of a potential candidate’s application for post-undergraduate study. This may include applications for graduate programs, post-doctoral fellowships, or faculty positions. The research statement is often the primary way that a committee determines if a candidate’s interests and past experience make them a good fit for their program/institution.

What Should It Look Like?

Research statements are generally one to two single-spaced pages. You should be sure to thoroughly read and follow the length and content requirements for each individual application.

Your research statement should situate your work within the larger context of your field and show how your works contributes to, complicates, or counters other work being done. It should be written for an audience of other professionals in your field.

What Should It Include?

Your statement should start by articulating the broader field that you are working within and the larger question or questions that you are interested in answering. It should then move to articulate your specific interest.

The body of your statement should include a brief history of your past research . What questions did you initially set out to answer in your research project? What did you find? How did it contribute to your field? (i.e. did it lead to academic publications, conferences, or collaborations?). How did your past research propel you forward?

It should also address your present research . What questions are you actively trying to solve? What have you found so far? How are you connecting your research to the larger academic conversation? (i.e. do you have any publications under review, upcoming conferences, or other professional engagements?) What are the larger implications of your work?

Finally, it should describe the future trajectory on which you intend to take your research. What further questions do you want to solve? How do you intend to find answers to these questions? How can the institution to which you are applying help you in that process? What are the broader implications of your potential results?

Note: Make sure that the research project that you propose can be completed at the institution to which you are applying.

Other Considerations:

  • What is the primary question that you have tried to address over the course of your academic career? Why is this question important to the field? How has each stage of your work related to that question?
  • Include a few specific examples that show your success. What tangible solutions have you found to the question that you were trying to answer? How have your solutions impacted the larger field? Examples can include references to published findings, conference presentations, or other professional involvement.
  • Be confident about your skills and abilities. The research statement is your opportunity to sell yourself to an institution. Show that you are self-motivated and passionate about your project.

AS_Submark 4

Writing a Research Statement (with example)

Much like writing a teaching philosophy , a research statement takes time, energy, and a lot of self reflection. This statement is a summary of your research accomplishments, what you are currently working on, and the future direction of your research program. This is also the place to really highlight your potential contributions to your field. For researchers who are further along in their career, this statement may include information about funding applications that were reviewed, approved, as well as any applications that are going to be submitted within the next year.

When I’ve looked at research statements over the years, helping people prepare for the academic interview cycle, one thing I’ve noticed more than anything is that people tend focus solely on the tangible aspects of their research, essentially rehashing their CV or resume. Although their accomplishments are often great, it can result in a rather boring set of pages full of nitty-gritty details rather than an immersive story about research experiences and potential. If there is one thing you take away from this article, your research path is magical and you want your readers to be invested in your magical story .

Now, I realize in my particular area of research (statistics and numerical reasoning), magical is not the word that most people would use as a descriptor. But therein lies the catch. When you are applying for academic positions, you aren’t selling just your research focus. Rather, you are selling the idea of you, your work, and your potential. Yes, your focus is a part of this, but only one part. You are the truly magical component, and your research is just one aspect of that.

When I did my cycle through academic application season, I wanted the review board to see who I was as a researcher, but I also wanted them to see how I approached my research content. The value my research adds to the field is the icing on the cake. I know my research is valuable. Generally speaking, scientists agree that most research in always valuable. But I needed the review board to see more than just my research value because I was competing against literally hundreds of applications. In such a competitive arena, every component of my application portfolio needed to stand out and grab attention.

As with other aspects of your portfolio, your research statement has some core components:

  • a brief summary of your research program
  • an overarching research question that ties all the individual studies together
  • what you are currently working on
  • where your research program is expected to go

Talking through these core aspects in a serial, linear way can be rather … Boring. You definitely do not want to be placed in the discard pile simply because your portfolio wasn’t engaging enough.  Which brings me to storytelling.   When I say storytelling, I’m not saying academics need to be master weavers of fantasy, complete with plots and characters that draw people out of reality into an imaginary world. Instead, I mean that people need to be walked through a narrative that logically carries the reader from one sentence to the next. This research statements connects the readers to you and invests them in your future research potential. Every sentence should be designed to make them want to keep reading.

Don’t feel bad if this statement takes some time to draft. Not all of us are naturally gifted with the talent for wordsmithing. It, like many other aspects of your portfolio, takes time, effort, energy, and self-reflection. Each aspect should be built with thoughtfulness and insight, and those things cannot be drawn overnight. Take your time and really develop your ideas. Over time, you’ll find that your research statement will evolve into a mature, guiding light of where you’ve been and where you’re going. And your readers will enjoy placing your files in the accept pile.

Alaina Talboy, PhD Research Statement Example

“Science and everyday life cannot and should not be separated.” – Rosalind Franklin

Research Interests

     Over the last eight years, my research interests have focused on how people understand and utilize information to make judgments and decisions. Of particular interest are the mechanisms which underlie general abilities to reason through complex information when uncertainty is involved.  In these types of situations, the data needed to make a decision are often presented as complicated statistics which are notoriously difficult to understand. In my research, I employ a combination of quantitative and qualitative research methods and analyses to evaluate how people process statistical data, which has strong theoretical contributions for discerning how people may perceive and utilize statistics in reasoning and decision making. This research also has valuable practical implications as statistical reasoning is one of the foundational pillars required for scientific thinking. I plan to continue this research via several avenues in both theoretical and applied contexts.

Statistics and the Reference Class Problem

     It is easy to feel overwhelmed when presented with statistics, especially when the meaning of the statistical data is not clear. For example, what does it mean when the newscaster says there is a 20% chance of showers? Does that mean it will only rain 20% of the day? Or that only 20% of the area will get rain? Or that 20% of the possible rain will actually fall? Without a knowing the appropriate reference class, or group from which the data are drawn, reasoners are often forced to make a decision based on an improper assessment of the numbers provided. (The correct answer is that out of 100 days with these weather conditions, rain occurs on 20 of them.) Although this is a rather benign version of the reference class problem, difficulties with this issue extends well into the very core of understanding statistics.

     Statistical testing involves an inherently nested structure in which values are dependent on the expression of other values. Understanding these relationships are foundational for appropriate use and application of statistics in practice. However, difficulties understanding statistics has been widely documented throughout numerous fields, contributing to the current research crisis as well as patient diagnostic errors (e.g., Gelman & Loken, 2014; Ioannidis, 2005; Ioannidis, Munafò, Fusar-Poli, Nosek, & David, 2014; Pashler & Wagenmakers, 2012). Therefore, research that can improve general statistical literacy is highly sought after. 

     As a stepping stone toward the more difficulty reference classes in statistics, a slightly less complicated version of the reference class problem can be found in Bayesian reasoning tasks (e.g., Gigerenzer, Gaissmaier, Kurz-Milcke, Schwartz, & Woloshin, 2007; Gigerenzer & Hoffrage, 1995; Hoffrage, Krauss, Martignon, & Gigerenzer, 2015; Johnson & Tubau, 2015; Reyna & Brainerd, 2008; Sirota, Kostovičová, & Vallée-Tourangeau, 2015; Talboy & Schneider, 2017, 2018, in press). In these types of reasoning tasks, there are difficulties with representing the inherently nested structure of the problem in a way that clearly elucidates the correct reference class needed to determine the solution. Additionally, computational demands compound these representation difficulties, contributing to generally low levels of accuracy.

     In my own research, we have tackled the representational difficulties of reasoning by fundamentally altering how information is presented and which reference classes are elucidated in the problem structure (Talboy & Schneider, 2017, 2018, in press).  In a related line, we break down the computational difficulties into the component processes of identification, computation, and application of values from the problem to the solution (Talboy & Schneider, in progress). In doing so, we discovered a general bias in which reasoners tend to select values that are presented in the problem text as the answer even when computations are required (Talboy & Schneider, in press, in progress, 2018). Moving forward, I plan to apply the advances made in understanding how people work through the complicated nested structure of Bayesian reasoning tasks to the more difficult nested structure of statistical testing.

Reference Dependence in Reasoning

     While completing earlier work on a brief tutorial designed to increased understanding of these Bayesian reasoning problems through both representation and computation training (Talboy & Schneider, 2017), I realized that the reasoning task could be structurally reformed to focus on the information needed to solve the problem rather than using the traditional format which focuses on conflicting information that only serves to confuse the reasoner. In doing so, we inadvertently found a mechanism for reference dependence in Bayesian reasoning that was not previously documented (Talboy & Schneider, 2018, in press). 

     Reference dependence is the tendency to start cognitive deliberations from a given or indicated point of reference, and is considered to be one of the most ubiquitous findings through judgment and decision making literature (e.g., Dinner, Johnson, Goldstein, & Liu, 2011; Hájek, 2007; Lopes & Oden, 1999; Tversky & Kahneman, 1991). Although the majority of research documenting reference dependence comes from the choice literature, the importance of context in shaping behavior has also been noted in several other domains, including logical reasoning (Johnson-Laird, 2010), problem solving (Kotovsky & Simon, 1990), extensional reasoning (Fox & Levav, 2004)—and now in Bayesian reasoning as well (Talboy & Schneider, 2018, in press).

     I parlayed my previous research on representational and computational difficulties into the foundation for my dissertation, with an eye toward how reference dependence affects uninitiated reasoners’ abilities to overcome these obstacles (Talboy, dissertation). I also evaluated the general value selection bias to determine the circumstances in which uninitiated reasoners revert to selecting values from the problem rather than completing computations (Talboy & Schneider, in progress, in press). I plan to extend this line of research to further evaluate the extent to which a value selection bias is utilized in other types of reasoning tasks involving reference classes, such as relative versus absolute risk.

Advancing Health Literacy

     Although the majority of my research focuses on the theoretical underpinnings of cognitive processes involved in reasoning about inherently nested problem structures, I also have an applied line of research that focuses on applying what we learn from research to everyday life. We recently published a paper geared toward the medical community that takes what we learned about Bayesian reasoning and applies it to understanding the outcomes of medical diagnostic testing, and how patients would use that information to make future medical decisions (Talboy & Schneider, 2018). I also led an interdisciplinary team on a collaborative project to evaluate how younger and older adults evaluate pharmaceutical pamphlet information to determine which treatment to use (Talboy, Aylward, Lende, & Guttmann, 2016; Talboy & Guttmann, in progress). I plan to continue researching how information presented in medical contexts can be more clearly elucidated to improve individual health literacy, as well as general health decision making and reasoning.

research statement

Copyright © 2021, Astute Science LLC All Rights Reserved

web analytics

  • Undergraduate Students
  • Masters Students
  • PhD/Doctoral Students
  • Postdoctoral Scholars
  • Employers & Recruiters
  • Faculty & Staff
  • Families & Supporters
  • Prospective Students
  • Explore Your Interests / Self-Assessment
  • Build Your Network / LinkedIn
  • Search for a Job / Internship
  • Create a Resume / Cover Letter
  • Prepare for an Interview
  • Negotiate an Offer
  • Prepare for Graduate School
  • Professionalism
  • Search for a Job or Internship
  • Prepare for the Academic Job Market
  • Advertising, Marketing, and Public Relations
  • Arts & Entertainment
  • Consulting & Financial Services
  • Engineering & Technology
  • Government, Law & Policy
  • Hospitality
  • Management & Human Resources
  • Non-Profit, Social Justice & Education
  • Retail & Consumer Services
  • BIPOC Students & Scholars
  • Current & Former Foster Youth
  • Disabled Students & Scholars
  • First-Generation Students & Scholars
  • Formerly Incarcerated Students & Scholars
  • International Students & Scholars
  • LGBTQ+ Students & Scholars
  • Student Athletes
  • Students & Scholars with Dependents
  • Transfer Students
  • Undocumented Students & Scholars
  • Women-Identifying Students & Scholars

Research Statements

  • Share This: Share Research Statements on Facebook Share Research Statements on LinkedIn Share Research Statements on X

A research statement is used when applying for some academic faculty positions and research-intensive positions. A research statement is usually a single-spaced 1-2 page document that describes your research trajectory as a scholar, highlighting growth: from where you began to where you envision going in the next few years. Ultimately, research productivity, focus and future are the most highly scrutinized in academic faculty appointments, particularly at research-intensive universities. Tailor your research statement to the institution to which you are applying – if a university has a strong research focus, emphasize publications; if a university values teaching and research equally, consider ending with a paragraph about how your research complements your teaching and vice versa. Structures of these documents also varies by discipline. See two common structures below.

Structure One:

Introduction: The first paragraph should introduce your research interests in the context of your field, tying the research you have done so far to a distinct trajectory that will take you well into the future.

Summary Of Dissertation: This paragraph should summarize your doctoral research project. Try not to have too much language repetition across documents, such as your abstract or cover letter.

Contribution To Field And Publications: Describe the significance of your projects for your field. Detail any publications initiated from your independent doctoral or postdoctoral research. Additionally, include plans for future publications based on your thesis. Be specific about journals to which you should submit or university presses that might be interested in the book you could develop from your dissertation (if your field expects that). If you are writing a two-page research statement, this section would likely be more than one paragraph and cover your future publication plans in greater detail.

Second Project: If you are submitting a cover letter along with your research statement, then the committee may already have a paragraph describing your second project. In that case, use this space to discuss your second project in greater depth and the publication plans you envision for this project. Make sure you transition from your dissertation to your second large project smoothly – you want to give a sense of your cohesion as a scholar, but also to demonstrate your capacity to conceptualize innovative research that goes well beyond your dissertation project.

Wider Impact Of Research Agenda: Describe the broader significance of your work. What ties your research projects together? What impact do you want to make on your field? If you’re applying for a teaching-oriented institution, how would you connect your research with your teaching?

Structure Two:

25% Previous Research Experience: Describe your early work and how it solidified your interest in your field. How did these formative experiences influence your research interests and approach to research? Explain how this earlier work led to your current project(s).

25% Current Projects: Describe your dissertation/thesis project – this paragraph could be modeled on the first paragraph of your dissertation abstract since it covers all your bases: context, methodology, findings, significance. You could also mention grants/fellowships that funded the project, publications derived from this research, and publications that are currently being developed.

50% Future Work: Transition to how your current work informs your future research. Describe your next major project or projects and a realistic plan for accomplishing this work. What publications do you expect to come out of this research? The last part of the research statement should be customized to demonstrate the fit of your research agenda with the institution.