what is the meaning of thesis in medical terms

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6.11: Writing a Thesis Statement

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• Lapum et al.
• Ryerson University (Daphne Cockwell School of Nursing) via Ryerson University Library

Readers always want to know “What is the big idea?” Every type of non-fiction writing – from a short essay to a 10-page term paper to a lengthy thesis or dissertation– needs a controlling idea as a “spine” that holds the paper together (see Figure 6.6 ). Look at Table 6.3 : Topics and Thesis Statements for a comparison of topics and thesis statements.

Table 6.3: Topics and thesis statements: A comparison

Figure 6.6: Thesis skeleton

Begin by writing a working thesis statement. You will need this working thesis statement when you begin to outline and organize your assignment. As you continue to develop your paper, you can limit the working thesis statement if it is too broad or expand it if it proves too narrow for what you want to say. Each draft of the thesis statement will bring you closer to the exact wording that expresses your controlling idea.

Student Tip

The Controlling Idea

The controlling idea should be broader for a longer piece of writing than for a shorter piece of writing. Make sure the controlling idea is appropriate for the length of the assignment. How many pages it will take to explain and explore the controlling or main idea in detail? Be reasonable with your estimate. Then expand or trim the controlling or main idea to match the required length.

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Formal MD Thesis Requirement

All students at Yale School of Medicine engage in research and are required to write an MD thesis during medical school. The only exceptions are students who have earned a PhD degree in the health sciences before matriculation and students enrolled in Yale’s MD/PhD program. The YSM MD Thesis is under the governance of the EPCC, which meets regularly to recommend rules, regulations, and deadlines.

Deadlines/Important Dates

Thesis approval process, thesis awards, required formatting and components of the md thesis, examples for reference section formatting, avoiding the risk of copyright violation and liability when submitting your md thesis, instructions for submitting a thesis to the yale medicine thesis digital library, thesis depositors declaration form, evaluations of advisor, student evaluation of thesis advisor.

• Yale School of Medicine Digital Thesis Depositor’s Declaration Form
• Thesis Deadline Extension Request Form

Thesis Deadlines for the 2023-2024 Academic Year

Md students:.

The Office of Student Research, in conjunction with the Dean’s Office, has established the following deadlines for theses submitted in partial fulfillment of the requirements for graduation in May 2024. The deadlines ensure that (1) students have sufficient time to complete their theses; (2) that there is sufficient time for rigorous departmental review and subsequent revision by students before final approval. These deadlines are strictly followed. Students are strongly encouraged to submit their theses well before the Class of 2024 Thesis Deadlines provided below. This timeliness will provide students, advisors, and sponsoring departments sufficient time for useful review and revision. It should be recognized by all concerned that the integrity of the thesis requirement and effective, rigorous review requires adherence to these deadlines. OSR will hold periodic “Thesis Check-in Sessions” via zoom for the Class of 2024 and will send periodic reminder emails with more detailed instructions as these deadlines approach.

*Students missing the August 4th, January 19th, and/or March 29th deadlines will be referred to the Progress Committee to ensure they receive adequate support to make progress towards this graduation requirement. Students missing the January 19th and/or March 29th deadlines will be ineligible for thesis prizes at graduation.

Extensions beyond the above thesis deadlines will be granted only for special circumstances and must have the approval of the student’s thesis mentor/advisor, academic advisor, and the Departmental Thesis Chairperson . Students seeking an extension for the January 19, 2024, deadline must submit a Thesis Deadline Extension Request Form to their Academic Advisor, and the Departmental Thesis Chair, for approval. Students missing the August 4th, January 19th, and/or March 29th deadlines will be referred to the Progress Committee to ensure they receive adequate support to make progress towards this graduation requirement. In the event of an extension, if granted, the following ABSOLUTE Class of 2024 Thesis Extension Deadlines will apply:

*All late theses require an extension. The student must submit the Thesis Deadline Extension Request Form before January 19, 2024.

MD/MHS Students:

Consistent with degree requirements, MD/MHS students must present their thesis to their three-person committee prior to the January 19th deadline. Students are encouraged to start arranging the date of this committee meeting in the fall to avoid unanticipated delays.

MD/PhD Students:

A different process applies to students in the MD/PhD program. For students enrolled in the combined MD/PhD Program, the dissertation submitted to and approved by the Graduate School will satisfy the MD thesis requirement. Therefore, MD/PhD students who have already defended their dissertation and received their PhD should provide this information to OSR via email as soon as possible.

To ensure compliance with YSM graduation deadlines, MD/PhD students in the class of 2024 who have not defended and submitted their dissertation to the Graduate School by the October 1, 2023, deadline will need to submit a copy of their dissertation directly to OSR via the MD/PhD Box Upload Link by March 15, 2024. OSR will convene a committee to review the dissertation, obtain feedback, and provide approval for graduation. Please note that MD/PhD students must also defend and submit their dissertation to the Graduate School no later than March 15, 2024, to meet the Graduate School spring degree deadline for conferral of the PhD degree. MD/PhD students who have not yet defended their dissertation should provide this information to OSR. If there are any questions about the process, please contact the MD/PhD Office.

Financial support is not provided for writing the thesis.

Thesis Preparation and Approval

Preparation for thesis submission begins in the summer of the fourth year with the OSR leadership. At this time, timeline and practices are distributed via email and reviewed with students in class meetings. Because thesis approval is a lengthy process involving three levels of review, students are encouraged to manage their time well and start writing their first draft early in the fall semester of their final year of medical school. A suggested timeline is provided below.

July : Thesis deadlines are distributed via email to all students in the graduating class and an informational session is held. Students should be on track to complete their thesis research by mid-fall. Any student anticipating a challenge in this regard should contact the OSR as soon as possible. All students expecting to graduate in May of a given year must, provide the OSR with information regarding their thesis title and mentor/advisor. Students will receive an email from the OSR containing a Medtrics link requesting this information. The OSR will contact all thesis mentors/advisors to confirm this role and to provide information and expectations regarding the thesis process.

August – December : Students should be finalizing research and writing their thesis draft. As the semester progresses, activities should shift from the data generation/analysis to the writing of the actual thesis. Students should do their best to complete the first draft of the thesis by mid-late December. Because students are also involved in the residency application and interview process, they are discouraged from starting new projects at this time.

December – January : This period is devoted to reviewing and editing of thesis draft that is ultimately approved by their thesis mentor/advisor and submitted by the student to the Thesis Chair of their sponsoring department. The YSM thesis mentor/advisor will be asked to complete a thesis assessment that evaluates the student’s mastery of YSM’s research-related educational objectives and provides formative summative feedback to the student.

January – March : The Departmental Thesis Chair coordinates thesis review by external reviewers. An “external reviewer” is defined as an individual who is not directly involved in the project. This individual may be a Yale faculty member internal or external to YSM or may hold a faculty appointment at an outside institution. This reviewer is required to complete a thesis assessment and provide formative summative feedback, as well as recommendations for any required changes, to the thesis. Departmental Thesis Chairs review assessments, notify students of departmental approval, and transmit these approvals to the OSR.

March : Theses and their associated assessments undergo school-level review by the OSR. Students receive YSM approval of their thesis along with summative feedback obtained during the review process. Students incorporate any required changes into their thesis and upload to the Yale Medicine Digital Thesis Library/Eli Scholar via the ProQuest platform (see below).

April : The OSR confirms that theses have been deposited into the Yale Medicine Digital Thesis Library and the registrar receives the names of students who have completed the thesis requirement.

The central role of the medical student thesis is to assess student’s performance on the YSM’s research-related educational objectives. As such, all students are expected to produce an excellent piece of scholarly work. In recognition of these achievements, the OSR has worked to develop an award process that celebrates the wonderful research being done by our students without creating a competitive atmosphere surrounding the thesis. Hence, thesis awards are based on competency-based assessments submitted by thesis mentors/advisors and reviewers during the approval process, and internal review of the final thesis that was deposited into the Yale Medicine Digital Thesis Library. Consistent with all other graduation prizes, YSM MD Thesis Awards will remain confidential until they are announced in the YSM Commencement Program on May 20, 2024. While some departments may elect to confer thesis “honors” based upon their own internal review, this recognition is distinct from YSM graduation prizes and is not under OSR’s purview.

Read about the required formatting and components for the thesis .

See helpful examples for reference section formatting.

Read about avoiding the risk of copyright violation and liability when submitting your MD Thesis.

Learn more about submitting a thesis to the Yale Medicine Thesis Digital Library .

Learn more about the Thesis Depositors Declaration Form.

Learn more about evaluating your experience with your thesis advisor .

Apply for a Thesis Extension

Read about the required formatting and components for the thesis.

Yale Journal of Biology and Medicine

Learn more about the journal or submit a manuscript.

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A step-by-step guide on how to write an ideal medical thesis.

What do you need to write a medical thesis?

Of course, a knowledge about how to conduct a research and how to pen down its results in an appropriate format.  Even if you are adept in clinical research, it doesn’t mean writing a thesis comes easily to you. A  medical thesis  has a structure that is important to follow.

So, here we provide a step-by-step guide on how to write an ideal medical thesis.

Step 1:  Start your thesis with a suitable  ‘Title’ . The title is an intro to the contents of your thesis. An ideal title should be within 65 characters, devoid of all abbreviations and grammatical mistakes, and not contain stop words like ‘a’, ‘an’, ‘the’, ‘of’, ‘but’, etc.

Step 2:  Next, write your thesis  ‘Abstract’ . An abstract is an introduction that tells the readers why you conducted the particular study.  What has already been done in the field, what were the gaps, and how you fill those gaps with your study?

To write an ideal abstract:

• Give a brief background information about your topic
• State the importance of the problem and what is unknown about it
• Tell the readers about the objectives of your study clearly
• Give references to the research papers written on your research topic. However, do not cite the well-known facts. For example, “Isaac Newton discovered gravity…”
• Include no information other than the problem being examined

Step 3:  After the abstract, follow it with the title  ‘Method and Material’ . Format this section as below:

• Setting – the environmental conditions in which you conducted your research
• Sample – what materials were used in research and details about the participants in the study
• Inclusion and exclusion criteria – what factors were considered to include or exclude any participant in the study
• Measurement tools – details about the methods and equipment used to measure the outcomes of the study
• Independent and Dependent variables – what were the factors you controlled or changed during the experiment and what you measured as the outcome

Step 4:  Write the  “Analysis of Data “.

Step 6:  Write the  ‘Results’  where you will show the conclusion of your study.  You can present your results as a text, table, figure, or illustrative graphs, but keep in mind the aim of your study. Include no result that doesn’t satisfy the aim of your study.

Step 7:  It is the most crucial step where you include the  ‘Discussion’  of your results. An ideal discussion should include:

• The principal findings of your study
• Strengths and weaknesses of your study in relation to other studies in the field
• A take-home message for the clinicians and policymakers
• Questions that your study can’t answer to propagate further research

Step 8:  Follow the discussion with the ‘ Limitations of your study’

Step 9:  At the end of your thesis, include your  ‘References’ . Track all your references so you don’t miss out on anyone.

Finally, the quality of your thesis depends upon the topic you choose, whether you opt for a purely scientific experiment or a clinical trial or a social research study addressing the experiences of the patients, etc.

Seek help from your mentor at every stage of clinical research as well as  medical thesis writing . To be ideal, the study should be carried out ethically in compliance with the legal regulations.

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Writing a thesis

A thesis is a written report of your research, and generally contains the following chapters: introduction, methods, results, discussion and conclusion. It will also have a list of references and appendices. Check with your faculty/department/school for degree-specific thesis requirements. You may also find it helpful to look at published theses (in your department) to see how they are structured. (Internationally, the ‘thesis’ may be referred to as a ‘dissertation’).

• Gruba, P., & Zobel, J. (2014). How to write a better minor thesis . Melbourne, Australia: Melbourne University Publishing.
• Stoddart, K. (1991) Writing Sociologically: A Note on Teaching the Construction of a Qualitative Report. Teaching Sociology (2), 243-248.
• Mullins, G. and M. Kiley (2002). It’s a PhD, not a Nobel Prize: how experienced examiners assess research theses. Studies in Higher Education . 27(2): 369-386 .
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What is a thesis | A Complete Guide with Examples

Table of Contents

A thesis is a comprehensive academic paper based on your original research that presents new findings, arguments, and ideas of your study. It’s typically submitted at the end of your master’s degree or as a capstone of your bachelor’s degree.

However, writing a thesis can be laborious, especially for beginners. From the initial challenge of pinpointing a compelling research topic to organizing and presenting findings, the process is filled with potential pitfalls.

Therefore, to help you, this guide talks about what is a thesis. Additionally, it offers revelations and methodologies to transform it from an overwhelming task to a manageable and rewarding academic milestone.

What is a thesis?

A thesis is an in-depth research study that identifies a particular topic of inquiry and presents a clear argument or perspective about that topic using evidence and logic.

Writing a thesis showcases your ability of critical thinking, gathering evidence, and making a compelling argument. Integral to these competencies is thorough research, which not only fortifies your propositions but also confers credibility to your entire study.

Furthermore, there's another phenomenon you might often confuse with the thesis: the ' working thesis .' However, they aren't similar and shouldn't be used interchangeably.

A working thesis, often referred to as a preliminary or tentative thesis, is an initial version of your thesis statement. It serves as a draft or a starting point that guides your research in its early stages.

As you research more and gather more evidence, your initial thesis (aka working thesis) might change. It's like a starting point that can be adjusted as you learn more. It's normal for your main topic to change a few times before you finalize it.

While a thesis identifies and provides an overarching argument, the key to clearly communicating the central point of that argument lies in writing a strong thesis statement.

What is a thesis statement?

A strong thesis statement (aka thesis sentence) is a concise summary of the main argument or claim of the paper. It serves as a critical anchor in any academic work, succinctly encapsulating the primary argument or main idea of the entire paper.

Typically found within the introductory section, a strong thesis statement acts as a roadmap of your thesis, directing readers through your arguments and findings. By delineating the core focus of your investigation, it offers readers an immediate understanding of the context and the gravity of your study.

Furthermore, an effectively crafted thesis statement can set forth the boundaries of your research, helping readers anticipate the specific areas of inquiry you are addressing.

Different types of thesis statements

A good thesis statement is clear, specific, and arguable. Therefore, it is necessary for you to choose the right type of thesis statement for your academic papers.

Thesis statements can be classified based on their purpose and structure. Here are the primary types of thesis statements:

Argumentative (or Persuasive) thesis statement

Purpose : To convince the reader of a particular stance or point of view by presenting evidence and formulating a compelling argument.

Example : Reducing plastic use in daily life is essential for environmental health.

Analytical thesis statement

Purpose : To break down an idea or issue into its components and evaluate it.

Example : By examining the long-term effects, social implications, and economic impact of climate change, it becomes evident that immediate global action is necessary.

Expository (or Descriptive) thesis statement

Purpose : To explain a topic or subject to the reader.

Example : The Great Depression, spanning the 1930s, was a severe worldwide economic downturn triggered by a stock market crash, bank failures, and reduced consumer spending.

Cause and effect thesis statement

Purpose : To demonstrate a cause and its resulting effect.

Example : Overuse of smartphones can lead to impaired sleep patterns, reduced face-to-face social interactions, and increased levels of anxiety.

Compare and contrast thesis statement

Purpose : To highlight similarities and differences between two subjects.

Example : "While both novels '1984' and 'Brave New World' delve into dystopian futures, they differ in their portrayal of individual freedom, societal control, and the role of technology."

When you write a thesis statement , it's important to ensure clarity and precision, so the reader immediately understands the central focus of your work.

What is the difference between a thesis and a thesis statement?

While both terms are frequently used interchangeably, they have distinct meanings.

A thesis refers to the entire research document, encompassing all its chapters and sections. In contrast, a thesis statement is a brief assertion that encapsulates the central argument of the research.

Here’s an in-depth differentiation table of a thesis and a thesis statement.

Now, to craft a compelling thesis, it's crucial to adhere to a specific structure. Let’s break down these essential components that make up a thesis structure

15 components of a thesis structure

Navigating a thesis can be daunting. However, understanding its structure can make the process more manageable.

Here are the key components or different sections of a thesis structure:

Your thesis begins with the title page. It's not just a formality but the gateway to your research.

Here, you'll prominently display the necessary information about you (the author) and your institutional details.

• Title of your thesis
• Your full name
• Your department
• Your institution and degree program
• Your submission date
• Your Supervisor's name (in some cases)
• Your Department or faculty (in some cases)
• Your University's logo (in some cases)
• Your Student ID (in some cases)

In a concise manner, you'll have to summarize the critical aspects of your research in typically no more than 200-300 words.

This includes the problem statement, methodology, key findings, and conclusions. For many, the abstract will determine if they delve deeper into your work, so ensure it's clear and compelling.

Acknowledgments

Research is rarely a solitary endeavor. In the acknowledgments section, you have the chance to express gratitude to those who've supported your journey.

This might include advisors, peers, institutions, or even personal sources of inspiration and support. It's a personal touch, reflecting the humanity behind the academic rigor.

Table of contents

A roadmap for your readers, the table of contents lists the chapters, sections, and subsections of your thesis.

By providing page numbers, you allow readers to navigate your work easily, jumping to sections that pique their interest.

List of figures and tables

Research often involves data, and presenting this data visually can enhance understanding. This section provides an organized listing of all figures and tables in your thesis.

It's a visual index, ensuring that readers can quickly locate and reference your graphical data.

Introduction

Here's where you introduce your research topic, articulate the research question or objective, and outline the significance of your study.

• Present the research topic : Clearly articulate the central theme or subject of your research.
• Background information : Ground your research topic, providing any necessary context or background information your readers might need to understand the significance of your study.
• Define the scope : Clearly delineate the boundaries of your research, indicating what will and won't be covered.
• Literature review : Introduce any relevant existing research on your topic, situating your work within the broader academic conversation and highlighting where your research fits in.
• State the research Question(s) or objective(s) : Clearly articulate the primary questions or objectives your research aims to address.
• Outline the study's structure : Give a brief overview of how the subsequent sections of your work will unfold, guiding your readers through the journey ahead.

The introduction should captivate your readers, making them eager to delve deeper into your research journey.

Literature review section

Your study correlates with existing research. Therefore, in the literature review section, you'll engage in a dialogue with existing knowledge, highlighting relevant studies, theories, and findings.

It's here that you identify gaps in the current knowledge, positioning your research as a bridge to new insights.

To streamline this process, consider leveraging AI tools. For example, the SciSpace literature review tool enables you to efficiently explore and delve into research papers, simplifying your literature review journey.

Methodology

In the research methodology section, you’ll detail the tools, techniques, and processes you employed to gather and analyze data. This section will inform the readers about how you approached your research questions and ensures the reproducibility of your study.

Here's a breakdown of what it should encompass:

• Research Design : Describe the overall structure and approach of your research. Are you conducting a qualitative study with in-depth interviews? Or is it a quantitative study using statistical analysis? Perhaps it's a mixed-methods approach?
• Data Collection : Detail the methods you used to gather data. This could include surveys, experiments, observations, interviews, archival research, etc. Mention where you sourced your data, the duration of data collection, and any tools or instruments used.
• Sampling : If applicable, explain how you selected participants or data sources for your study. Discuss the size of your sample and the rationale behind choosing it.
• Data Analysis : Describe the techniques and tools you used to process and analyze the data. This could range from statistical tests in quantitative research to thematic analysis in qualitative research.
• Validity and Reliability : Address the steps you took to ensure the validity and reliability of your findings to ensure that your results are both accurate and consistent.
• Ethical Considerations : Highlight any ethical issues related to your research and the measures you took to address them, including — informed consent, confidentiality, and data storage and protection measures.

Moreover, different research questions necessitate different types of methodologies. For instance:

• Experimental methodology : Often used in sciences, this involves a controlled experiment to discern causality.
• Qualitative methodology : Employed when exploring patterns or phenomena without numerical data. Methods can include interviews, focus groups, or content analysis.
• Quantitative methodology : Concerned with measurable data and often involves statistical analysis. Surveys and structured observations are common tools here.
• Mixed methods : As the name implies, this combines both qualitative and quantitative methodologies.

The Methodology section isn’t just about detailing the methods but also justifying why they were chosen. The appropriateness of the methods in addressing your research question can significantly impact the credibility of your findings.

Results (or Findings)

This section presents the outcomes of your research. It's crucial to note that the nature of your results may vary; they could be quantitative, qualitative, or a mix of both.

Quantitative results often present statistical data, showcasing measurable outcomes, and they benefit from tables, graphs, and figures to depict these data points.

Qualitative results , on the other hand, might delve into patterns, themes, or narratives derived from non-numerical data, such as interviews or observations.

Regardless of the nature of your results, clarity is essential. This section is purely about presenting the data without offering interpretations — that comes later in the discussion.

In the discussion section, the raw data transforms into valuable insights.

Start by revisiting your research question and contrast it with the findings. How do your results expand, constrict, or challenge current academic conversations?

Dive into the intricacies of the data, guiding the reader through its implications. Detail potential limitations transparently, signaling your awareness of the research's boundaries. This is where your academic voice should be resonant and confident.

Practical implications (Recommendation) section

Based on the insights derived from your research, this section provides actionable suggestions or proposed solutions.

Whether aimed at industry professionals or the general public, recommendations translate your academic findings into potential real-world actions. They help readers understand the practical implications of your work and how it can be applied to effect change or improvement in a given field.

When crafting recommendations, it's essential to ensure they're feasible and rooted in the evidence provided by your research. They shouldn't merely be aspirational but should offer a clear path forward, grounded in your findings.

The conclusion provides closure to your research narrative.

It's not merely a recap but a synthesis of your main findings and their broader implications. Reconnect with the research questions or hypotheses posited at the beginning, offering clear answers based on your findings.

Reflect on the broader contributions of your study, considering its impact on the academic community and potential real-world applications.

Lastly, the conclusion should leave your readers with a clear understanding of the value and impact of your study.

References (or Bibliography)

Every theory you've expounded upon, every data point you've cited, and every methodological precedent you've followed finds its acknowledgment here.

In references, it's crucial to ensure meticulous consistency in formatting, mirroring the specific guidelines of the chosen citation style .

Proper referencing helps to avoid plagiarism , gives credit to original ideas, and allows readers to explore topics of interest. Moreover, it situates your work within the continuum of academic knowledge.

To properly cite the sources used in the study, you can rely on online citation generator tools  to generate accurate citations!

Here’s more on how you can cite your sources.

Often, the depth of research produces a wealth of material that, while crucial, can make the core content of the thesis cumbersome. The appendix is where you mention extra information that supports your research but isn't central to the main text.

Whether it's raw datasets, detailed procedural methodologies, extended case studies, or any other ancillary material, the appendices ensure that these elements are archived for reference without breaking the main narrative's flow.

For thorough researchers and readers keen on meticulous details, the appendices provide a treasure trove of insights.

Glossary (optional)

In academics, specialized terminologies, and jargon are inevitable. However, not every reader is versed in every term.

The glossary, while optional, is a critical tool for accessibility. It's a bridge ensuring that even readers from outside the discipline can access, understand, and appreciate your work.

By defining complex terms and providing context, you're inviting a wider audience to engage with your research, enhancing its reach and impact.

Remember, while these components provide a structured framework, the essence of your thesis lies in the originality of your ideas, the rigor of your research, and the clarity of your presentation.

As you craft each section, keep your readers in mind, ensuring that your passion and dedication shine through every page.

Thesis examples

To further elucidate the concept of a thesis, here are illustrative examples from various fields:

Example 1 (History): Abolition, Africans, and Abstraction: the Influence of the ‘Noble Savage’ on British and French Antislavery Thought, 1787-1807 by Suchait Kahlon.

Example 2 (Climate Dynamics): Influence of external forcings on abrupt millennial-scale climate changes: a statistical modelling study by Takahito Mitsui · Michel Crucifix

Checklist for your thesis evaluation

Evaluating your thesis ensures that your research meets the standards of academia. Here's an elaborate checklist to guide you through this critical process.

Content and structure

• Is the thesis statement clear, concise, and debatable?
• Does the introduction provide sufficient background and context?
• Is the literature review comprehensive, relevant, and well-organized?
• Does the methodology section clearly describe and justify the research methods?
• Are the results/findings presented clearly and logically?
• Does the discussion interpret the results in light of the research question and existing literature?
• Is the conclusion summarizing the research and suggesting future directions or implications?

Clarity and coherence

• Is the writing clear and free of jargon?
• Are ideas and sections logically connected and flowing?
• Is there a clear narrative or argument throughout the thesis?

Research quality

• Is the research question significant and relevant?
• Are the research methods appropriate for the question?
• Is the sample size (if applicable) adequate?
• Are the data analysis techniques appropriate and correctly applied?
• Are potential biases or limitations addressed?

Originality and significance

• Does the thesis contribute new knowledge or insights to the field?
• Is the research grounded in existing literature while offering fresh perspectives?

Formatting and presentation

• Is the thesis formatted according to institutional guidelines?
• Are figures, tables, and charts clear, labeled, and referenced in the text?
• Is the bibliography or reference list complete and consistently formatted?
• Are appendices relevant and appropriately referenced in the main text?

Grammar and language

• Is the thesis free of grammatical and spelling errors?
• Is the language professional, consistent, and appropriate for an academic audience?
• Are quotations and paraphrased material correctly cited?

Feedback and revision

• Have you sought feedback from peers, advisors, or experts in the field?
• Have you addressed the feedback and made the necessary revisions?

Overall assessment

• Does the thesis as a whole feel cohesive and comprehensive?
• Would the thesis be understandable and valuable to someone in your field?

Ensure to use this checklist to leave no ground for doubt or missed information in your thesis.

After writing your thesis, the next step is to discuss and defend your findings verbally in front of a knowledgeable panel. You’ve to be well prepared as your professors may grade your presentation abilities.

Preparing your thesis defense

A thesis defense, also known as "defending the thesis," is the culmination of a scholar's research journey. It's the final frontier, where you’ll present their findings and face scrutiny from a panel of experts.

Typically, the defense involves a public presentation where you’ll have to outline your study, followed by a question-and-answer session with a committee of experts. This committee assesses the validity, originality, and significance of the research.

The defense serves as a rite of passage for scholars. It's an opportunity to showcase expertise, address criticisms, and refine arguments. A successful defense not only validates the research but also establishes your authority as a researcher in your field.

Here’s how you can effectively prepare for your thesis defense .

Now, having touched upon the process of defending a thesis, it's worth noting that scholarly work can take various forms, depending on academic and regional practices.

One such form, often paralleled with the thesis, is the 'dissertation.' But what differentiates the two?

Dissertation vs. Thesis

Often used interchangeably in casual discourse, they refer to distinct research projects undertaken at different levels of higher education.

To the uninitiated, understanding their meaning might be elusive. So, let's demystify these terms and delve into their core differences.

Here's a table differentiating between the two.

Wrapping up

From understanding the foundational concept of a thesis to navigating its various components, differentiating it from a dissertation, and recognizing the importance of proper citation — this guide covers it all.

As scholars and readers, understanding these nuances not only aids in academic pursuits but also fosters a deeper appreciation for the relentless quest for knowledge that drives academia.

It’s important to remember that every thesis is a testament to curiosity, dedication, and the indomitable spirit of discovery.

Good luck with your thesis writing!

Frequently Asked Questions

A thesis typically ranges between 40-80 pages, but its length can vary based on the research topic, institution guidelines, and level of study.

A PhD thesis usually spans 200-300 pages, though this can vary based on the discipline, complexity of the research, and institutional requirements.

To identify a thesis topic, consider current trends in your field, gaps in existing literature, personal interests, and discussions with advisors or mentors. Additionally, reviewing related journals and conference proceedings can provide insights into potential areas of exploration.

The conceptual framework is often situated in the literature review or theoretical framework section of a thesis. It helps set the stage by providing the context, defining key concepts, and explaining the relationships between variables.

A thesis statement should be concise, clear, and specific. It should state the main argument or point of your research. Start by pinpointing the central question or issue your research addresses, then condense that into a single statement, ensuring it reflects the essence of your paper.

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Home > Medicine > Medicine Thesis Digital Library

Yale Medicine Thesis Digital Library

Starting with the Yale School of Medicine (YSM) graduating class of 2002, the Cushing/Whitney Medical Library and YSM Office of Student Research have collaborated on the Yale Medicine Thesis Digital Library (YMTDL) project, publishing the digitized full text of medical student theses on the web as a valuable byproduct of Yale student research efforts. The digital thesis deposit has been a graduation requirement since 2006. Starting in 2012, alumni of the Yale School of Medicine were invited to participate in the YMTDL project by granting scanning and hosting permission to the Cushing/Whitney Medical Library, which digitized the Library’s print copy of their thesis or dissertation. A grant from the Arcadia Fund in 2017 provided the means for digitizing over 1,000 additional theses. IF YOU ARE A MEMBER OF THE YALE COMMUNITY AND NEED ACCESS TO A THESIS RESTRICTED TO THE YALE NETWORK, PLEASE MAKE SURE YOUR VPN (VIRTUAL PRIVATE NETWORK) IS ON.

Theses/Dissertations from 2023 2023

Radiomics: A Methodological Guide And Its Applications To Acute Ischemic Stroke , Emily Avery

Characterization Of Cutaneous Immune-Related Adverse Events Due To Immune Checkpoint Inhibitors , Annika Belzer

An Investigation Of Novel Point Of Care 1-Tesla Mri Of Infants’ Brains In The Neonatal Icu , Elisa Rachel Berson

Understanding Perceptions Of New-Onset Type 1 Diabetes Education In A Pediatric Tertiary Care Center , Gabriel BetancurVelez

Effectiveness Of Acitretin For Skin Cancer Prevention In Immunosuppressed And Non-Immunosuppressed Patients , Shaman Bhullar

Adherence To Tumor Board Recommendations In Patients With Hepatocellular Carcinoma , Yueming Cao

Clinical Trials Related To The Spine & Shoulder/elbow: Rates, Predictors, & Reasons For Termination , Dennis Louis Caruana

Improving Delivery Of Immunomodulator Mpla With Biodegradable Nanoparticles , Jungsoo Chang

Sex Differences In Patients With Deep Vein Thrombosis , Shin Mei Chan

Incorporating Genomic Analysis In The Clinical Practice Of Hepatology , David Hun Chung

Emergency Medicine Resident Perceptions Of A Medical Wilderness Adventure Race (medwar) , Lake Crawford

Surgical Outcomes Following Posterior Spinal Fusion For Adolescent Idiopathic Scoliosis , Wyatt Benajmin David

Representing Cells As Sentences Enables Natural Language Processing For Single Cell Transcriptomics , Rahul M. Dhodapkar

Life Vs. Liberty And The Pursuit Of Happiness: Short-Term Involuntary Commitment Laws In All 50 US States , Sofia Dibich

Healthcare Disparities In Preoperative Risk Management For Total Joint Arthroplasty , Chloe Connolly Dlott

Toll-Like Receptors 2/4 Directly Co-Stimulate Arginase-1 Induction Critical For Macrophage-Mediated Renal Tubule Regeneration , Natnael Beyene Doilicho

Associations Of Atopic Dermatitis With Neuropsychiatric Comorbidities , Ryan Fan

International Academic Partnerships In Orthopaedic Surgery , Michael Jesse Flores

Young Adults With Adhd And Their Involvement In Online Communities: A Qualitative Study , Callie Marie Ginapp

Becoming A Doctor, Becoming A Monster: Medical Socialization And Desensitization In Nazi Germany And 21st Century USA , SimoneElise Stern Hasselmo

Comparative Efficacy Of Pharmacological Interventions For Borderline Personality Disorder: A Network Meta-Analysis , Olivia Dixon Herrington

An Examination Of Honor Society Membership, Mistreatment, And Discrimination By Medical Student Demographics , Katherine Ann Hill

Factors Influencing Decision For Contralateral Prophylactic Mastectomy Versus Unilateral Mastectomy , Julian Huang

Beta-Catenin Nuclear Transport In Wnt Signaling: Kap-Beta2/transportin Mediates Nuclear Import Of Beta-Catenin Via A Py-Nls Motif In A Ran Gtpase Dependent Manner , Woong Y. Hwang

Perspectives On Emergency Department-Initiated Buprenorphine Among Clinical Pharmacists , Marissa Justen

Examination For Independent Predictors Of Seasonality Of Birth Across Forty-Nine Low- And Middle-Income Countries: Analyses Of The United States Agency For International Development Demographic And Health Survey Data , Jehanzeb Kayani

Pediatricians, Social Identity, And The Law In The Early-Twentieth-Century United States , Christopher R. Keys

Single Neuronal Firing Dynamics In A Mouse Model For Absence Seizures , Waleed Khan

The Impact Of Cannabidiol In Patients With Early Psychosis: A Randomized Controlled Trial , Sreeja Kodali

Renalase Agonist Therapy And The Cardiac Response To Pressure Overload In Chronic Kidney Disease , Govind Krishna Kumar Nair

Sociodemographic And Insurance Disparities In Urologic Oncology Care Access And Surgical Outcomes , Folawiyo Laditi

How Ethics Committees Deliberate Resource Allocation For Undocumented Children, A Qualitative Analysis , YuKyung Lee

Mental Health Service Use Among Immigrant And U.S. Born Asian American Pacific Islanders , Hieronimus Loho

Severity And Operative Age In Metopic Synostosis: The Association With Neurocognitive Outcomes , Aaron Samuel Long

Comparison Of The Bone Bruise Patterns In Contact And Non-Contact Acute Anterior Cruciate Ligament Injuries , Jay Thomas Moran

Multi-Omic Differences Between Right And Left Sided Colorectal Cancer Liver Metastases , Montana Tremaine Morris

Almajiri Health; A Scoping Review On Disease, Health Literacy And Space For Participatory Research , Muzzammil Imran Muhammad

Investigating Effects Of Glycolysis Inhibition On Metabolism And Extracellular Ph In A Mouse Model Of Hepatocellular Carcinoma , David Nam

Applying Deep Learning To Identify Imaging Biomarkers To Predict Cardiac Outcomes In Cancer Patients , Aishwarya Kishore Nene

Incarcerated Patients Have Higher Mortality After Trauma: An Unreported Healthcare Disparity , Harry NewmanPlotnick

The Association Between Social Needs Care Coordination And Social Needs Status Amongst Patients In A Federally Qualified Health Center , Autumn Nobles

Diagnosis Of Polycystic Ovary Syndrome And Non-Hispanic Black Race Are Predictive Of Hypertension In Reproductive Age Women -Analysis Of Real World Electronic Medical Record Data , Nyerovwo Okifo

Utility Of Shear Wave Elastography In Breast Cancer Diagnosis: A Systematic Review And Meta-Analysis , Aishwarya Pillai

“I Was Reaching Out For Help And They Did Not Help Me”: Mental Healthcare In The Carceral State , Anna Grace Preston

Associations Of Frailty With Tumor Characteristics & Longitudinal Outcomes In Patients With Meningiomas , Hanya M. Qureshi

A Single Nucleotide Polymorphism In An Rgs6 Enhancer Regulates Heart Rate Variability And Parasympathetic Modulation , Namita Ravi

Firearm Injury Prevention Strategies In Children And Young Adults , Christopher Schenck

Assessing Quality Of Oral Cancer Care Across A Health System And Region: Opportunities To Improve Care , Hemali Parimal Shah

Single-Cell Transcriptomic Atlas Reveals Molecular Drivers Of Human Inner Ear Development , Amar H. Sheth

More Than Meets The Eye: Improving Recognition Of Child Abuse In Emergency Departments , May Shum

A Novel Smarcc1-Mutant Bafopathy Implicates Epigenetic Dysregulation Of Fetal Neural Progenitors In The Pathogenesis Of Congenital Hydrocephalus , Amrita K. Singh

Baseline Skin Cytokine Profiles Determined By Rna In Situ Hybridization Correlate With Response To Dupilumab In Patients With Eczematous Dermatitis , Katelyn Singh

Barriers To Identifying Learning Disabilities: A Qualitative Study Of Clinicians And Educators , Lauren Stone

"Come On. I Need An Answer." A Mixed-Methods Study Of Barriers And Disparities In Diagnostic Odysseys , Zeyu Tang

Cognitive Impairment And Long-Term Health Outcomes In Patients With Coronary Microvascular Dysfunction , Abriana Tasillo

Family Dyads, Emotional Labor, And The Theater Of The Clinical Encounter: Co-Constructive Patient Simulation As A Reflective Tool In Child And Adolescent Psychiatry Training , Isaiah Thomas

Comparative Effectiveness Of Digital Breast Tomosynthesis For Breast Cancer Screening In Older Women , Akhil Upneja

Analysis Of Prices And Outcomes For Common Hospitalized Conditions In 2021 , Lina Vadlamani

Recording Multiunit Activity Of The Locus Coeruleus In An Awake Mouse Model Of Focal Limbic Seizures , Marcus Valcarce-Aspegren

Improving Cancer Classification With Domain Adaptation Techniques , Juliana Veira

Soil-Transmitted Helminthiases And Deworming Response In School-Aged Children In Retalhuleu, Guatemala , Rebeca Esther Vergara Greeno

The Synergy Between Physiologic Dendritic Cells And Mrna-Loaded Lipid Nanoparticles And Its Potential As A Cellular Immunotherapy , Brian Myles Wei

Lipid Profiles Help Explain Protection From Atherosclerosis In Ascending Aortic Aneurysm Patients , Gabe Weininger

The Impact Of Peer Interventions On Physical Activity For Individuals Living With Mental Illness , Julia Wolfe

Perioperative Outcomes In Patients With Systemic Sclerosis: An Analysis Of A Large Case Series , Luying Yan

Engineering And Evaluating Biodegradable Bioadhesive Nanoparticle-Encapsulated Sunscreens , Beverly Xi Yu

Theses/Dissertations from 2022 2022

Contested Spaces, Stigmatized Treatment: Methadone In 1970s New York, Boston, And New Orleans , Zoe Miranda Adams

Comorbid Pad And Mvd: A Retrospective Nrd Analysis Of Trends, Outcomes, And Readmissions , Miguel Algara

Epidemiology Of Domestic Violence-Related Ocular Injuries Among Adult Patients , Joana E. Andoh

Longitudinal Modeling Of Early Hiv Burden In The Central Nervous System , Victor Diego Armengol

Generating Clinical Evidence Using Real World Data And Personal Digital Devices , Victoria L. Bartlett

Incidence And Prognosis Of Cranial Neuropathies In Children With Covid-19: A Systematic Review And Meta-Analysis , Priyanka Bisarya

A Deep Dive In Head & Neck Cancer: Machine Learning Applications In Diagnostic And Prognostic Evaluations , Alexandra Tan Bourdillon

A Serological Survey Of Sars-Cov-2 Infection In Casino Employees , Julian Campillo Luna

The Real Cause Of The Broken Rib: Developments In Pediatricians' Approach To Child Abuse; 1960 - 2020 , Sofia Charania

Identification Of A Novel Link Between Adiposity And Visuospatial Ability , Herbert Alexander Chen

Predictors Of Very Late Onset Infection In Kidney Transplant Recipients At Least Ten Years Post Transplant , Harry Cheung

Deep Learning Algorithms For Predicting Response To Neoadjuvant Chemotherapy For Breast Cancer , Rachel Choi

Testing Ictal Conscious Awareness: Responsiveness Versus Recall Of Experiences During Seizures , Violeta Contreras Ramirez

Mechanisms Of Progestin Resistance In Reproductive-Age Women With Atypical Endometrial Hyperplasia , Katherine Mcmaster Cooke

Biomarkers Of Egfr Decline After Pediatric Cardiac Surgery In The Assess-Aki Cohort , Christina Anne-Josiane De Fontnouvelle

Amd3100 Administration For The Treatment Of Asherman’s Syndrome In A Murine Model , Pablo Antonio Delis

Fracture Callus Evaluation In The Setting Of Breast Cancer Metastasis And Rescue Of Healing Via Inhibition Of Erk1/2 , Christopher Dussik

Primary Care Characteristics And Medication Management Among Patients Receiving Office Based Opioid Treatment With Buprenorphine , Xinxin Du

Factors Impacting Trauma-Specific Quality Of Life Following Injury: A Multi-Center Assessment In Lebanon , Ali Elreichouni

Consciousness: Mechanisms And Neuropsychiatric Outcomes , Isaac Gilbert Freedman

Investigation Of Outcomes Following Cervical Spine Surgery In Patients With Pre-Existing Non-Spinal Neurological Conditions , Anoop Raj Galivanche

Medical Students’ Experiences, Knowledge, And Perceptions Of Patients With Substance Use Disorder , Sophia Francesca Gamez

“people Fall Through The Cracks”: Prolonged Lengths Of Stay Beyond Medical Necessity , Lucy Gao

Housing As Healthcare: The Role Of Homelessness In Patient Characteristics And Retention In Outpatient Medication For Opioid Use Disorder Treatment , Marina Gaeta Gazzola

Sleep Apnea In Veterans With Schizophrenia: Estimating Prevalence And Impact On Cognition , Stephen Edward Ghazikhanian

Self-Injurious Behavior And Problematic Video Gaming In Adolescents With Problematic Shopping , Norman Robert Greenberg

Importance Of Social Support In Older Adults After Hospitalization For Acute Myocardial Infarction , Yaakov Green

In-Vivo Nanoparticle Delivery To Fetal Mouse Pancreas And Liver , Mary Elizabeth Guerra

Characteristics Of Inpatient Behavioral Health Services And Hormonal Treatment Decision-Making In Transgender/gender-Expansive Youth , Justin William Halloran

Preferential Utilization Of Resident Physicians To Care For Patients With Medicaid And Persons Of Color At Us Academic Health Centers , Samer Hassan

Atypical Presentation Of Hereditary Hypophosphatemic Rickets With Hypercalciuria Due To Digenic Mutations , Bryan Bo-Ran Ho

Gender Differences In Outcomes Of Coordinated Specialty Care For Early Psychosis , Seong Im Hong

Resident Physician Thriving And The Residency Experience During The Covid-19 Pandemic: A Qualitative Study , Joshua Hyman

Early Experience With The Fda’s Breakthrough Devices Program And Potential Payment Mechanisms , James Johnston

Page 1 of 31

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Meaning of thesis in English

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• I wrote my thesis on literacy strategies for boys .
• Her main thesis is that children need a lot of verbal stimulation .
• boilerplate
• composition
• dissertation
• essay question
• peer review

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• v.66(1); 2022 Jan

Dissertation writing in post graduate medical education

Department of Anaesthesiology, Dr. B R Ambedkar Medical College, Bengaluru, Karnataka, India

Mridul M Panditrao

1 Department of Anaesthesiology and Intensive Care, Adesh Institute of Medical Sciences and Research (AIMSR), Bathinda, Punjab, India

2 Department of Anaesthesiology, Kasturba Medical College, Mangalore, Manipal Academy of Higher Education, Manipal, India

Sukhminder Jit Singh Bajwa

3 Department of Anaesthesiology and Intensive Care, Gian Sagar Medical College and Hospital, Patiala, Punjab, India

Nishant Sahay

4 Department of Anaesthesiology, All India Institute of Medical Sciences, Patna, Bihar, India

Thrivikrama Padur Tantry

5 Department of Anaesthesiology, A J Institute of Medical Sciences and Research Centre, Kuntikana, Mangalore, Karnataka, India

Associated Data

A dissertation is a practical exercise that educates students about basics of research methodology, promotes scientific writing and encourages critical thinking. The National Medical Commission (India) regulations make assessment of a dissertation by a minimum of three examiners mandatory. The candidate can appear for the final examination only after acceptance of the dissertation. An important role in a dissertation is that of the guide who has to guide his protégés through the process. This manuscript aims to assist students and guides on the basics of conduct of a dissertation and writing the dissertation. For students who will ultimately become researchers, a dissertation serves as an early exercise. Even for people who may never do research after their degree, a dissertation will help them discern the merits of new treatment options available in literature for the benefit of their patients.

INTRODUCTION

The zenith of clinical residency is the completion of the Master's Dissertation, a document formulating the result of research conducted by the student under the guidance of a guide and presenting and publishing the research work. Writing a proper dissertation is most important to present the research findings in an acceptable format. It is also reviewed by the examiners to determine a part of the criteria for the candidate to pass the Masters’ Degree Examination.

The predominant role in a dissertation is that of the guide who has to mentor his protégés through the process by educating them on research methodology, by: (i) identifying a pertinent and topical research question, (ii) formulating the “type” of study and the study design, (iii) selecting the sample population, (iv) collecting and collating the research data accurately, (v) analysing the data, (vi) concluding the research by distilling the outcome, and last but not the least (vii) make the findings known by publication in an acceptable, peer-reviewed journal.[ 1 ] The co-guide could be a co-investigator from another department related to the study topic, and she/he will play an equivalent role in guiding the student.

Research is a creative and systematic work undertaken to increase the stock of knowledge.[ 2 ] This work, known as a study may be broadly classified into two groups in a clinical setting:

• Trials: Here the researcher intervenes to either prevent a disease or to treat it.
• Observational studies: Wherein the investigator makes no active intervention and merely observes the patients or subjects allocated the treatment based on clinical decisions.[ 3 ]

The research which is described in a dissertation needs to be presented under the following headings: Introduction, Aim of the Study, Description of devices if any or pharmacology of drugs, Review of Literature, Material and Methods, Observations and Results, Discussion, Conclusions, Limitations of the study, Bibliography, Proforma, Master chart. Some necessary certificates from the guide and the institute are a requirement in certain universities. The students often add an acknowledgement page before the details of their dissertation proper. It is their expression of gratitude to all of those who they feel have been directly or indirectly helpful in conduct of the study, data analysis, and finally construction of the dissertation.

Framing the research question (RQ)

It is the duty of the teacher to suggest suitable research topics to the residents, based on resources available, feasibility and ease of conduct at the centre. Using the FINER criteria, the acronym for feasibility, topical interest, novelty, ethicality and relevance would be an excellent way to create a correct RQ.[ 4 ]

The PICOT method which describes the patient, intervention, comparison, outcome and time, would help us narrow down to a specific and well-formulated RQ.[ 5 , 6 ] A good RQ leads to the derivation of a research hypothesis, which is an assumption or prediction of the outcome that will be tested by the research. The research topic could be chosen from among the routine clinical work regarding clinical management, use of drugs e.g., vasopressors to prevent hypotension or equipment such as high flow nasal oxygen to avoid ventilation.

Review of literature

To gather this information may be a difficult task for a fresh trainee however, a good review of the available literature is a tool to identify and narrow down a good RQ and generate a hypothesis. Literature sources could be primary (clinical trials, case reports), secondary (reviews, meta-analyses) or tertiary (e.g., reference books, compilations). Methods of searching literature could be manual (journals) or electronic (online databases), by looking up references or listed citations in existing articles. Electronic database searches are made through the various search engines available online e.g., scholar.google.com, National Library of Medicine (NLM) website, clinical key app and many more. Advanced searches options may help narrow down the search results to those that are relevant for the student. This could be based on synthesising keywords from the RQ, or by searching for phrases, Boolean operators, or utilising filters.

After choosing the topic, an apt and accurate title has to be chosen. This should be guided by the use of Medical Subject Headings (MeSH) terminology from the NLM, which is used for indexing, cataloguing, and searching of biomedical and health-related information.[ 7 ] The dissertation requires a detailed title which may include the objective of the study, key words and even the PICOT components. One may add the study design in the title e.g. “a randomised cross over study” or “an observational analytical study” etc.

Aim and the objectives

The Aims and the Objectives of the research study have to be listed clearly, before initiating the study.[ 8 ] “Gaps” or deficiencies in existing knowledge should be clearly cited. The Aim by definition is a statement of the expected outcome, while the Objectives (which might be further classed into primary and secondary based on importance) should be specific, measurable, achievable, realistic or relevant, time-bound and challenging; in short, “SMART!” To simplify, the aim is a statement of intent, in terms of what we hope to achieve at the end of the project. Objectives are specific, positive statements of measurable outcomes, and are a list of steps that will be taken to achieve the outcome.[ 9 ] Aim of a dissertation, for example, could be to know which of two nerve block techniques is better. To realise this aim, comparing the duration of postoperative analgesia after administration of the block by any measurable criteria, could be an objective, such as the time to use of first rescue analgesic drug. Similarly, total postoperative analgesic drug consumption may form a secondary outcome variable as it is also measurable. These will generate data that may be used for analysis to realise the main aim of the study.

Inclusion and exclusions

The important aspect to consider after detailing when and how the objectives will be measured is documenting the eligibility criteria for inclusion of participants. The exclusion criteria must be from among the included population/patients only. e.g., If only American Society of Anesthesiologists (ASA) I and II are included, then ASA III and IV cannot be considered as exclusion criteria, since they were never a part of the study. The protocol must also delineate the setting of the study, locations where data would be collected, and specify duration of conduct of the dissertation. A written informed consent after explaining the aim, objectives and methodology of the study is legally mandatory before embarking upon any human study. The study should explicitly clarify whether it is a retrospective or a prospective study, where the study is conducted and the duration of the study.

Sample size: The sample subjects in the study should be representative of the population upon whom the inference has to be drawn. Sampling is the process of selecting a group of representative people from a larger population and subjecting them for the research.[ 10 ] The sample size represents a number, beyond which the addition of population is unlikely to change the conclusion of the study. The sample size is calculated taking into consideration the primary outcome criteria, confidence interval (CI), power of the study, and the effect size the researcher wishes to observe in the primary objective of the study. Hence a typical sample size statement can be - “Assuming a duration of analgesia of 150 min and standard deviation (SD) of 15 min in first group, keeping power at 80% and CIs at 95% (alpha error at 0.05), a sample of 26 patients would be required to detect a minimum difference (effect size) of 30% in the duration of analgesia between the two groups. Information regarding the different sampling methods and sample size calculations may be found in the Supplementary file 1 .

Any one research question may be answered using a number of research designs.[ 11 ] Research designs are often described as either observational or experimental. The various research designs may be depicted graphically as shown in Figure 1 .

Graphical description of available research designs

The observational studies lack “the three cornerstones of experimentation” – controls, randomisation, and replication. In an experimental study on the other hand, in order to assess the effect of treatment intervention on a participant, it is important to compare it with subjects similar to each other but who have not been given the studied treatment. This group, also called the control group, may help distinguish the effect of the chosen intervention on outcomes from effects caused by other factors, such as the natural history of disease, placebo effects, or observer or patient expectations.

All the proposed dissertations must be submitted to the scientific committee for any suggestion regarding the correct methodology to be followed, before seeking ethical committee approval.

Ethical considerations

Ethical concerns are an important part of the research project, right from selection of the topic to the dissertation writing. It must be remembered, that the purpose of a dissertation given to a post-graduate student is to guide him/her through the process by educating them on the very basics of research methodology. It is therefore not imperative that the protégés undertake a complicated or risky project. If research involves human or animal subjects, drugs or procedures, research ethics guidelines as well as drug control approvals have to be obtained before tabling the proposal to the Institutional Ethics Committee (IEC). The roles, responsibilities and composition of the Ethics Committee has been specified by the Directorate General of Health Services, Government of India. Documented approval of the Ethics committee is mandatory before any subject can be enroled for any dissertation in India. Even retrospective studies require approval from the IEC. Details of this document is available at: https://cdsco.gov.in/opencms/resources/UploadCDSCOWeb/2018/UploadEthicsRegistration/Applmhrcrr.pdf .

The candidate and the guide are called to present their proposal before the committee. The ethical implications, risks and management, subjects’ rights and responsibilities, informed consent, monetary aspects, the research and analysis methods are all discussed. The patient safety is a topmost priority and any doubts of the ethical committee members should be explained in medically layman's terms. The dissertation topics should be listed as “Academic clinical trials” and must involve only those drugs which are already approved by the Drugs Controller General of India. More commonly, the Committee suggests rectifications, and then the researchers have to resubmit the modified proposal after incorporating the suggestions, at the next sitting of the committee or seek online approval, as required. At the conclusion of the research project, the ethics committee has to be updated with the findings and conclusions, as well as when it is submitted for publication. Any deviation from the approved timeline, as well as the research parameters has to be brought to the attention of the IEC immediately, and re-approval sought.

Clinical trial registration

Clinical Trial Registry of India (CTRI) is a free online searchable system for prospective registration of all clinical studies conducted in India. It is owned and managed by the National Institute of Medical Statistics, a division of Indian Council of Medical Research, Government of India. Registration of clinical trials will ensure transparency, accountability and accessibility of trials and their results to all potential beneficiaries.

After the dissertation proposal is passed by the scientific committee and IEC, it may be submitted for approval of trial registration to the CTRI. The student has to create a login at the CTRI website, and submit all the required data with the help of the guides. After submission, CTRI may ask for corrections, clarifications or changes. Subject enrolment and the actual trial should begin only after the CTRI approval.

Randomisation

In an experimental study design, the method of randomisation gives every subject an equal chance to get selected in any group by preventing bias. Primarily, three basic types employed in post-graduate medical dissertations are simple randomisation, block randomisation and stratified randomisation. Simple randomisation is based upon a single sequence of random assignments such as flipping a coin, rolling of dice (above 3 or below 3), shuffling of cards (odd or even) to allocate into two groups. Some students use a random number table found in books or use computer-generated random numbers. There are many random number generators, randomisation programs as well as randomisation services available online too. ( https://www-users.york.ac.uk/~mb55/guide/randsery.htm ).

There are many applications which generate random number sequences and a research student may use such computer-generated random numbers [ Figure 2 ]. Simple randomisation has higher chances of unequal distribution into the two groups, especially when sample sizes are low (<100) and thus block randomisation may be preferred. Details of how to do randomisation along with methods of allocation concealment may be found in Supplementary file 2 .

Figure depicting how to do block randomisation using online resources. (a) generation of a random list (b) transfer of the list to an MS excel file

Allocation concealment

If it is important in a study to generate a random sequence of intervention, it is also important for this sequence to be concealed from all stake-holders to prevent any scope of bias.[ 12 ] Allocation concealment refers to the technique used to implement a random sequence for allocation of intervention, and not to generate it.[ 13 ] In an Indian post-graduate dissertation, the sequentially numbered, opaque, sealed envelopes (SNOSE) technique is commonly used [ Supplementary file 2 ].

To minimise the chances of differential treatment allocation or assessments of outcomes, it is important to blind as many individuals as possible in the trial. Blinding is not an all-or-none phenomenon. Thus, it is very desirable to explicitly state in the dissertation, which individuals were blinded, how they achieved blinding and whether they tested the success of blinding.

Commonly used terms for blinding are

• Single blinding: Masks the participants from knowing which intervention has been given.
• Double blinding: Blinds both the participants as well as researchers to the treatment allocation.
• Triple blinding: By withholding allocation information from the subjects, researchers, as well as data analysts. The specific roles of researchers involved in randomisation, allocation concealment and blinding should be stated clearly in the dissertation.

Data which can be measured as numbers are called quantitative data [ Table 1 ]. Studies which emphasise objective measurements to generate numerical data and then apply statistical and mathematical analysis constitute quantitative research. Qualitative research on the other hand focuses on understanding people's beliefs, experiences, attitudes, behaviours and thus these generate non-numerical data called qualitative data, also known as categorical data, descriptive data or frequency counts. Importance of differentiating data into qualitative and quantitative lies in the fact that statistical analysis as well as the graphical representation may be very different.

Data collection types

In order to obtain data from the outcome variable for the purpose of analysis, we need to design a study which would give us the most valid information. A valid data or measurement tool, is the degree to which the tool measures what it claims to measure. For example, appearance of end tidal carbon dioxide waveform is a more valid measurement to assess correct endotracheal tube placement than auscultation of breath sounds on chest inflation.

The compilation of all data in a ‘Master Chart’ is a necessary step for planning, facilitating and appropriate preparation and processing of the data for analysis. It is a complete set of raw research data arranged in a systematic manner forming a well-structured and formatted, computable data matrix/database of the research to facilitate data analysis. The master chart is prepared as a Microsoft Excel sheet with the appropriate number of columns depicting the variable parameters for each individual subjects/respondents enlisted in the rows.

Statistical analysis

The detailed statistical methodology applied to analyse the data must be stated in the text under the subheading of statistical analysis in the Methods section. The statistician should be involved in the study during the initial planning stage itself. Following four steps have to be addressed while planning, performing and text writing of the statistical analysis part in this section.

Step 1. How many study groups are present? Whether analysis is for an unpaired or paired situation? Whether the recorded data contains repeated measurements? Unpaired or paired situations decide again on the choice of a test. The latter describes before and after situations for collected data (e.g. Heart rate data ‘before’ and ‘after’ spinal anaesthesia for a single group). Further, data should be checked to find out whether they are from repeated measurements (e.g., Mean blood pressure at 0, 1 st , 2 nd , 5 th , 10 th minutes and so on) for a group. Different types of data are commonly encountered in a dissertation [ Supplementary file 3A ].

Step 2. Does the data follow a normal distribution?[ 14 ]

Each study group as well as every parameter has to be checked for distribution analysis. This step will confirm whether the data of a particular group is normally distributed (parametric data) or does not follow the normal distribution (non-parametric data); subsequent statistical test selection mainly depends on the results of the distribution analysis. For example, one may choose the Student's’ test instead of the ‘Mann-Whitney U’ for non-parametric data, which may be incorrect. Each study group as well as every parameter has to be checked for distribution analysis [ Supplementary File 3B ].

Step 3. Calculation of measures of central tendency and measures of variability.

Measures of central tendency mainly include mean, median and mode whereas measures of variability include range, interquartile range (IQR), SD or variance not standard error of mean. Depending on Step 2 findings, one needs to make the appropriate choice. Mean and SD/variance are more often for normally distributed and median with IQR are the best measure for not normal (skewed) distribution. Proportions are used to describe the data whenever the sample size is ≥100. For a small sample size, especially when it is approximately 25-30, describe the data as 5/25 instead of 20%. Software used for statistical analysis automatically calculates the listed step 3 measures and thus makes the job easy.

Step 4. Which statistical test do I choose for necessary analysis?

Choosing a particular test [ Figure 3 ] is based on orderly placed questions which are addressed in the dissertation.[ 15 ]

Chosing a statistical test, (a). to find a difference between the groups of unpaired situations, (b). to find a difference between the groups of paired situations, (c). to find any association between the variables, (d). to find any agreement between the assessment techniques. ANOVA: Analysis of Variance. Reproduced with permission from Editor of Indian Journal of Ophthalmology, and the author, Dr Barun Nayak[ 15 ]

• Is there a difference between the groups of unpaired situations?
• Is there a difference between the groups of paired situations?
• Is there any association between the variables?
• Is there any agreement between the assessment techniques?

Perform necessary analysis using user-friendly software such as GraphPad Prism, Minitab or MedCalc,etc. Once the analysis is complete, appropriate writing in the text form is equally essential. Specific test names used to examine each part of the results have to be described. Simple listing of series of tests should not be done. A typical write-up can be seen in the subsequent sections of the supplementary files [Supplementary files 3C – E ]. One needs to state the level of significance and software details also.

Role of a statistician in dissertation and data analysis

Involving a statistician before planning a study design, prior to data collection, after data have been collected, and while data are analysed is desirable when conducting a dissertation. On the contrary, it is also true that self-learning of statistical analysis reduces the need for statisticians’ help and will improve the quality of research. A statistician is best compared to a mechanic of a car which we drive; he knows each element of the car, but it is we who have to drive it. Sometimes the statisticians may not be available for a student in an institute. Self-learning software tools, user-friendly statistical software for basic statistical analysis thus gain importance for students as well as guides. The statistician will design processes for data collection, gather numerical data, collect, analyse, and interpret data, identify the trends and relationships in data, perform statistical analysis and its interpretation, and finally assist in final conclusion writing.

Results are an important component of the dissertation and should follow clearly from the study objectives. Results (sometimes described as observations that are made by the researcher) should be presented after correct analysis of data, in an appropriate combination of text, charts, tables, graphs or diagrams. Decision has to be taken on each outcome; which outcome has to be presented in what format, at the beginning of writing itself. These should be statistically interpreted, but statistics should not surpass the dissertation results. The observations should always be described accurately and with factual or realistic values in results section, but should not be interpreted in the results section.

While writing, classification and reporting of the Results has to be done under five section paragraphs- population data, data distribution analysis, results of the primary outcome, results of secondary outcomes, any additional observations made such as a rare adverse event or a side effect (intended or unintended) or of any additional analysis that may have been done, such as subgroup analysis.

At each level, one may either encounter qualitative (n/N and %) or quantitative data (mean [SD], median [IQR] and so on.

In the first paragraph of Results while describing the population data, one has to write about included and excluded patients. One needs to cite the Consolidated Standards of Reporting Trials (CONSORT) flow chart to the text, at this stage. Subsequently, highlighting of age, sex, height, body mass index (BMI) and other study characteristics referring to the first table of ‘patients data’ should be considered. It is not desirable to detail all values and their comparison P values in the text again in population data as long as they are presented in a cited table. An example of this pattern can be seen in Supplementary file 3D .

In the second paragraph, one needs to explain how the data is distributed. It should be noted that, this is not a comparison between the study groups but represents data distribution for the individual study groups (Group A or Group B, separately)[ Supplementary file 3E ].

In the subsequent paragraph of Results , focused writing on results of the primary outcomes is very important. It should be attempted to mention most of the data outputs related to the primary outcomes as the study is concluded based on the results of this outcome analysis. The measures of central tendency and dispersion (Mean or median and SD or IQR etc., respectively), alongside the CIs, sample number and P values need to be mentioned. It should be noted that the CIs can be for the mean as well as for the mean difference and should not be interchanged. An example of this pattern can be seen in Supplementary file 3F .

A large number of the dissertations are guided for single primary outcome analysis, and also the results of multiple secondary outcomes are needed to be written. The primary outcome should be presented in detail, and secondary outcomes can be presented in tables or graphs only. This will help in avoiding a possible evaluator's fatigue. An example of this pattern can be seen in Supplementary file 3G .

In the last paragraph of the Results, mention any additional observations, such as a rare adverse event or side effect or describe the unexpected results. The results of any additional analysis (subgroup analysis) then need to be described too. An example of this pattern can be seen in Supplementary file 3H .

The most common error observed in the Results text is duplication of the data and analytical outputs. While using the text for summarising the results, at each level, it should not be forgotten to cite the table or graph but the information presented in a table should not be repeated in the text. Further, results should not be given to a greater degree of accuracy than that of the measurement. For example, mean (SD) age need to be presented as 34.5 (11.3) years instead of 34.5634 (11.349). The latter does not carry any additional information and is unnecessary. The actual P values need to be mentioned. The P value should not be simply stated as ‘ P < 0.05’; P value should be written with the actual numbers, such as ‘ P = 0.021’. The symbol ‘<’ should be used only when actual P value is <0.001 or <0.0001. One should try avoiding % calculations for a small sample especially when n < 100. The sample size calculation is a part of the methodology and should not be mentioned in the Results section.

The use of tables will help present actual data values especially when in large numbers. The data and their relationships can be easily understood by an appropriate table and one should avoid overwriting of results in the text format. All values of sample size, central tendency, dispersions, CIs and P value are to be presented in appropriate columns and rows. Preparing a dummy table for all outcomes on a rough paper before proceeding to Microsoft Excel may be contemplated. Appropriate title heading (e.g., Table 1 . Study Characteristics), Column Headings (e.g., Parameter studied, P values) should be presented. A footnote should be added whenever necessary. For outputs, where statistically significant P values are recorded, the same should be highlighted using an asterisk (*) symbol and the same *symbol should be cited in the footnote describing its value (e.g., * P < 0.001) which is self-explanatory for statistically significance. One should not use abbreviations such as ‘NS’ or ‘Sig’ for describing (non-) significance. Abbreviations should be described for all presented tables. A typical example of a table can be seen in Figure 4 .

Example of presenting a table

Graphical images

Similar to tables, the graphs and diagrams give a bird's-eye view of the entire data and therefore may easily be understood. bar diagrams (simple, multiple or component), pie charts, line diagrams, pictograms and spot maps suit qualitative data more whereas the histograms, frequency polygons, cumulative frequency, polygon scatter diagram, box and whisker plots and correlation diagrams are used to depict quantitative data. Too much presentation of graphs and images, selection of inappropriate or interchanging of graphs, unnecessary representation of three-dimensional graph for one-dimensional graphs, disproportionate sizes of length and width and incorrect scale and labelling of an axis should be avoided. All graphs should contain legends, abbreviation descriptions and a footnote. Appropriate labelling of the x - and the y -axis is also essential. Priori decided scale for axis data should be considered. The ‘error bar’ represents SDs or IQRs in the graphs and should be used irrespective of whether they are bar charts or line graphs. Not showing error bars in a graphical image is a gross mistake. An error bar can be shown on only one side of the line graph to keep it simple. A typical example of a graphical image can be seen in Figure 5 . The number of subjects (sample) is to be mentioned for each time point on the x -axis. An asterisk (*) needs to be put for data comparisons having statistically significant P value in the graph itself and they are self-explanatory with a ‘stand-alone’ graph.

Example of an incorrect (a) and correct (b) image

Once the results have been adequately analysed and described, the next step is to draw conclusions from the data and study. The main goal is to defend the work by staging a constructive debate with the literature.[ 16 ] Generally, the length of the ‘ Discussion ’ section should not exceed the sum of other sections (introduction, material and methods, and results).[ 17 ] Here the interpretation, importance/implications, relevance, limitations of the results are elaborated and should end in recommendations.

It is advisable to start by mentioning the RQ precisely, summarising the main findings without repeating the entire data or results again. The emphasis should be on how the results correlate with the RQ and the implications of these results, with the relevant review of literature (ROL). Do the results coincide with and add anything to the prevalent knowledge? If not, why not? It should justify the differences with plausible explanation. Ultimately it should be made clear, if the study has been successful in making some contribution to the existing evidence. The new results should not be introduced and any exaggerated deductions which cannot be corroborated by the outcomes should not be made.

The discussion should terminate with limitations of the study,[ 17 ] mentioned magnanimously. Indicating limitations of the study reflects objectivity of the authors. It should not enlist any errors, but should acknowledge the constraints and choices in designing, planning methodology or unanticipated challenges that may have cropped up during the actual conduct of the study. However, after listing the limitations, the validity of results pertaining to the RQ may be emphasised again.

This section should convey the precise and concise message as the take home message. The work carried out should be summarised and the answer found to the RQ should be succinctly highlighted. One should not start dwelling on the specific results but mention the overall gain or insights from the observations, especially, whether it fills the gap in the existing knowledge if any. The impact, it may have on the existing knowledge and practices needs to be reiterated.

What to do when we get a negative result?

Sometimes, despite the best research framework, the results obtained are inconclusive or may even challenge a few accepted assumptions.[ 18 ] These are frequently, but inappropriately, termed as negative results and the data as negative data. Students must believe that if the study design is robust and valid, if the confounders have been carefully neutralised and the outcome parameters measure what they are intended to, then no result is a negative result. In fact, such results force us to critically re-evaluate our current understanding of concepts and knowledge thereby helping in better decision making. Studies showing lack of prolongation of the apnoea desaturation safety periods at lower oxygen flows strengthened belief in the difficult airway guidelines which recommend nasal insufflations with at least 15 L/min oxygen.[ 19 , 20 , 21 ]

Publishing the dissertation work

There are many reporting guidelines based upon the design of research. These are a checklist, flow diagram, or structured text to guide authors in reporting a specific type of research, developed using explicit methodology. The CONSORT[ 22 ] and Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) initiatives,[ 23 ] both included in the Enhancing the Quality and Transparency of Health Research (EQUATOR) international network, have elaborated appropriate suggestions to improve the transparency, clarity and completeness of scientific literature [ Figure 6 ].

Equator publishing tree

All authors are advised to follow the CONSORT/STROBE checklist attached as Supplementary file 4 , when writing and reporting their dissertation.

For most dissertations in Anaesthesiology, the CONSORT, STROBE, Standards for Reporting Diagnostic accuracy studies (STARD) or REporting recommendations for tumour MARKer prognostic studies (REMARK) guidelines would suffice.

Abstract and Summary

These two are the essential sections of a dissertation.

It should be at the beginning of the manuscript, after the title page and acknowledgments, but before the table of contents. The preparation varies as per the University guidelines, but generally ranges between 150 to 300 words. Although it comes at the very beginning of the thesis, it is the last part one writes. It must not be a ‘copy-paste job’ from the main manuscript, but well thought out miniaturisation, giving the overview of the entire text. As a rule, there should be no citation of references here.

Logically, it would have four components starting with aims, methods, results, and conclusion. One should begin the abstract with the research question/objectives precisely, avoiding excessive background information. Adjectives like, evaluate, investigate, test, compare raise the curiosity quotient of the reader. This is followed by a brief methodology highlighting only the core steps used. There is no need of mentioning the challenges, corrections, or modifications, if any. Finally, important results, which may be restricted to fulfilment (or not), of the primary objective should be mentioned. Abstracts end with the main conclusion stating whether a specific answer to the RQ was found/not found. Then recommendations as a policy statement or utility may be made taking care that it is implementable.

Keywords may be included in the abstract, as per the recommendations of the concerned university. The keywords are primarily useful as markers for future searches. Lastly, the random reader using any search engine may use these, and the identifiability is increased.

The summary most often, is either the last part of the Discussion or commonly, associated with the conclusions (Summary and Conclusions). Repetition of introduction, whole methodology, and all the results should be avoided. Summary, if individually written, should not be more than 150 to 300 words. It highlights the research question, methods used to investigate it, the outcomes/fallouts of these, and then the conclusion part may start.

References/bibliography

Writing References serves mainly two purposes. It is the tacit acknowledgement of the fact that someone else's written words or their ideas or their intellectual property (IP) are used, in part or in toto , to avoid any blame of plagiarism. It is to emphasise the circumspective and thorough literature search that has been carried out in preparation of the work.

Vancouver style for referencing is commonly used in biomedical dissertation writing. A reference list contains details of the works cited in the text of the document. (e.g. book, journal article, pamphlet, government reports, conference material, internet site). These details must include sufficient details so that others may locate and access those references.[ 24 ]

How much older the references can be cited, depends upon the university protocol. Conventionally accepted rule is anywhere between 5-10 years. About 85% of references should be dispersed in this time range. Remaining 15%, which may include older ones if they deal with theories, historical aspects, and any other factual content. Rather than citing an entire book, it is prudent to concentrate on the chapter or subsection of the text. There are subjective variations between universities on this matter. But, by and large, these are quoted as and when deemed necessary and with correct citation.

Bibliography is a separate list from the reference list and should be arranged alphabetically by writing name of the ‘author or title’ (where no author name is given) in the Vancouver style.

There are different aspects of writing the references.[ 24 ]

Citing the reference in the form of a number in the text. The work of other authors referred in the manuscript should be given a unique number and quoted. This is done in the order of their appearance in the text in chronological order by using Arabic numerals. The multiple publications of same author shall be written individually. If a reference article has more than six authors, all six names should be written, followed by “ et al .” to be used in lieu of other author names. It is desirable to write the names of the journals in abbreviations as per the NLM catalogue. Examples of writing references from the various sources may be found in the Supplementary file 5 .

Both the guide and the student have to work closely while searching the topic initially and also while finalising the submission of the dissertation. But the role of the guide in perusing the document in detail, and guiding the candidate through the required corrections by periodic updates and discussions cannot be over-emphasised.

Assessment of dissertations

Rarely, examiners might reject a dissertation for failure to choose a contemporary topic, a poor review of literature, defective methodology, biased analysis or incorrect conclusions. If these cannot be corrected satisfactorily, it will then be back to the drawing board for the researchers, who would have to start from scratch to redesign the study, keeping the deficiencies in mind this time.

Before submission, dissertation has to be run through “plagiarism detector” software, such as Turnitin or Grammarly to ensure that plagiarism does not happen even unwittingly. Informal guidelines state that the percentage plagiarism picked up by these tools should be <10%.

No work of art is devoid of mistakes/errors. Logically, a dissertation, being no exception, may also have errors. Our aim, is to minimise them.

The dissertation is an integral part in the professional journey of any medical post-graduate student. It is also an important responsibility for a guide to educate his protégé, the basics of research methodology through the process. Searching for a gap in literature and identification of a pertinent research question is the initial step. Careful planning of the study design is a vitally important aspect. After the conduct of study, writing the dissertation is an art for which the student often needs guidance. A good dissertation is a good description of a meticulously conducted study under the different headings described, utilising the various reporting guidelines. By avoiding some common errors as discussed in this manuscript, a good dissertation can result in a very fruitful addition to medical literature.

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What Is A Research (Scientific) Hypothesis? A plain-language explainer + examples

By:  Derek Jansen (MBA)  | Reviewed By: Dr Eunice Rautenbach | June 2020

If you’re new to the world of research, or it’s your first time writing a dissertation or thesis, you’re probably noticing that the words “research hypothesis” and “scientific hypothesis” are used quite a bit, and you’re wondering what they mean in a research context .

“Hypothesis” is one of those words that people use loosely, thinking they understand what it means. However, it has a very specific meaning within academic research. So, it’s important to understand the exact meaning before you start hypothesizing. 

Research Hypothesis 101

• What is a hypothesis ?
• What is a research hypothesis (scientific hypothesis)?
• Requirements for a research hypothesis
• Definition of a research hypothesis
• The null hypothesis

What is a hypothesis?

Let’s start with the general definition of a hypothesis (not a research hypothesis or scientific hypothesis), according to the Cambridge Dictionary:

Hypothesis: an idea or explanation for something that is based on known facts but has not yet been proved.

In other words, it’s a statement that provides an explanation for why or how something works, based on facts (or some reasonable assumptions), but that has not yet been specifically tested . For example, a hypothesis might look something like this:

Hypothesis: sleep impacts academic performance.

This statement predicts that academic performance will be influenced by the amount and/or quality of sleep a student engages in – sounds reasonable, right? It’s based on reasonable assumptions , underpinned by what we currently know about sleep and health (from the existing literature). So, loosely speaking, we could call it a hypothesis, at least by the dictionary definition.

But that’s not good enough…

Unfortunately, that’s not quite sophisticated enough to describe a research hypothesis (also sometimes called a scientific hypothesis), and it wouldn’t be acceptable in a dissertation, thesis or research paper . In the world of academic research, a statement needs a few more criteria to constitute a true research hypothesis .

What is a research hypothesis?

A research hypothesis (also called a scientific hypothesis) is a statement about the expected outcome of a study (for example, a dissertation or thesis). To constitute a quality hypothesis, the statement needs to have three attributes – specificity , clarity and testability .

Let’s take a look at these more closely.

Need a helping hand?

Hypothesis Essential #1: Specificity & Clarity

A good research hypothesis needs to be extremely clear and articulate about both what’ s being assessed (who or what variables are involved ) and the expected outcome (for example, a difference between groups, a relationship between variables, etc.).

Let’s stick with our sleepy students example and look at how this statement could be more specific and clear.

Hypothesis: Students who sleep at least 8 hours per night will, on average, achieve higher grades in standardised tests than students who sleep less than 8 hours a night.

As you can see, the statement is very specific as it identifies the variables involved (sleep hours and test grades), the parties involved (two groups of students), as well as the predicted relationship type (a positive relationship). There’s no ambiguity or uncertainty about who or what is involved in the statement, and the expected outcome is clear.

Contrast that to the original hypothesis we looked at – “Sleep impacts academic performance” – and you can see the difference. “Sleep” and “academic performance” are both comparatively vague , and there’s no indication of what the expected relationship direction is (more sleep or less sleep). As you can see, specificity and clarity are key.

Hypothesis Essential #2: Testability (Provability)

A statement must be testable to qualify as a research hypothesis. In other words, there needs to be a way to prove (or disprove) the statement. If it’s not testable, it’s not a hypothesis – simple as that.

For example, consider the hypothesis we mentioned earlier:

Hypothesis: Students who sleep at least 8 hours per night will, on average, achieve higher grades in standardised tests than students who sleep less than 8 hours a night.  

We could test this statement by undertaking a quantitative study involving two groups of students, one that gets 8 or more hours of sleep per night for a fixed period, and one that gets less. We could then compare the standardised test results for both groups to see if there’s a statistically significant difference. 

Again, if you compare this to the original hypothesis we looked at – “Sleep impacts academic performance” – you can see that it would be quite difficult to test that statement, primarily because it isn’t specific enough. How much sleep? By who? What type of academic performance?

So, remember the mantra – if you can’t test it, it’s not a hypothesis 🙂

Defining A Research Hypothesis

You’re still with us? Great! Let’s recap and pin down a clear definition of a hypothesis.

A research hypothesis (or scientific hypothesis) is a statement about an expected relationship between variables, or explanation of an occurrence, that is clear, specific and testable.

So, when you write up hypotheses for your dissertation or thesis, make sure that they meet all these criteria. If you do, you’ll not only have rock-solid hypotheses but you’ll also ensure a clear focus for your entire research project.

What about the null hypothesis?

You may have also heard the terms null hypothesis , alternative hypothesis, or H-zero thrown around. At a simple level, the null hypothesis is the counter-proposal to the original hypothesis.

For example, if the hypothesis predicts that there is a relationship between two variables (for example, sleep and academic performance), the null hypothesis would predict that there is no relationship between those variables.

At a more technical level, the null hypothesis proposes that no statistical significance exists in a set of given observations and that any differences are due to chance alone.

And there you have it – hypotheses in a nutshell. 

If you have any questions, be sure to leave a comment below and we’ll do our best to help you. If you need hands-on help developing and testing your hypotheses, consider our private coaching service , where we hold your hand through the research journey.

Psst... there’s more!

This post was based on one of our popular Research Bootcamps . If you're working on a research project, you'll definitely want to check this out ...

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16 Comments

Very useful information. I benefit more from getting more information in this regard.

Very great insight,educative and informative. Please give meet deep critics on many research data of public international Law like human rights, environment, natural resources, law of the sea etc

In a book I read a distinction is made between null, research, and alternative hypothesis. As far as I understand, alternative and research hypotheses are the same. Can you please elaborate? Best Afshin

This is a self explanatory, easy going site. I will recommend this to my friends and colleagues.

Very good definition. How can I cite your definition in my thesis? Thank you. Is nul hypothesis compulsory in a research?

It’s a counter-proposal to be proven as a rejection

Please what is the difference between alternate hypothesis and research hypothesis?

It is a very good explanation. However, it limits hypotheses to statistically tasteable ideas. What about for qualitative researches or other researches that involve quantitative data that don’t need statistical tests?

In qualitative research, one typically uses propositions, not hypotheses.

could you please elaborate it more

I’ve benefited greatly from these notes, thank you.

This is very helpful

well articulated ideas are presented here, thank you for being reliable sources of information

Excellent. Thanks for being clear and sound about the research methodology and hypothesis (quantitative research)

I have only a simple question regarding the null hypothesis. – Is the null hypothesis (Ho) known as the reversible hypothesis of the alternative hypothesis (H1? – How to test it in academic research?

this is very important note help me much more

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The following outline provides a high-level overview of the FTC’s proposed final rule :

• Specifically, the final rule provides that it is an unfair method of competition—and therefore a violation of Section 5 of the FTC Act—for employers to enter into noncompetes with workers after the effective date.
• Fewer than 1% of workers are estimated to be senior executives under the final rule.
• Specifically, the final rule defines the term “senior executive” to refer to workers earning more than $151,164 annually who are in a “policy-making position.”
• Reduced health care costs: $74-$194 billion in reduced spending on physician services over the next decade.
• New business formation: 2.7% increase in the rate of new firm formation, resulting in over 8,500 additional new businesses created each year.
• This reflects an estimated increase of about 3,000 to 5,000 new patents in the first year noncompetes are banned, rising to about 30,000-53,000 in the tenth year.
• This represents an estimated increase of 11-19% annually over a ten-year period.
• The average worker’s earnings will rise an estimated extra $524 per year. 

The Federal Trade Commission develops policy initiatives on issues that affect competition, consumers, and the U.S. economy. The FTC will never demand money, make threats, tell you to transfer money, or promise you a prize. Follow the  FTC on social media , read  consumer alerts  and the  business blog , and  sign up to get the latest FTC news and alerts .

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What the New Overtime Rule Means for Workers

One of the basic principles of the American workplace is that a hard day’s work deserves a fair day’s pay. Simply put, every worker’s time has value. A cornerstone of that promise is the  Fair Labor Standards Act ’s (FLSA) requirement that when most workers work more than 40 hours in a week, they get paid more. The  Department of Labor ’s new overtime regulation is restoring and extending this promise for millions more lower-paid salaried workers in the U.S.

Overtime protections have been a critical part of the FLSA since 1938 and were established to protect workers from exploitation and to benefit workers, their families and our communities. Strong overtime protections help build America’s middle class and ensure that workers are not overworked and underpaid.

Some workers are specifically exempt from the FLSA’s minimum wage and overtime protections, including bona fide executive, administrative or professional employees. This exemption, typically referred to as the “EAP” exemption, applies when: 

1. An employee is paid a salary,  

2. The salary is not less than a minimum salary threshold amount, and 

3. The employee primarily performs executive, administrative or professional duties.

While the department increased the minimum salary required for the EAP exemption from overtime pay every 5 to 9 years between 1938 and 1975, long periods between increases to the salary requirement after 1975 have caused an erosion of the real value of the salary threshold, lessening its effectiveness in helping to identify exempt EAP employees.

The department’s new overtime rule was developed based on almost 30 listening sessions across the country and the final rule was issued after reviewing over 33,000 written comments. We heard from a wide variety of members of the public who shared valuable insights to help us develop this Administration’s overtime rule, including from workers who told us: “I would love the opportunity to...be compensated for time worked beyond 40 hours, or alternately be given a raise,” and “I make around $40,000 a year and most week[s] work well over 40 hours (likely in the 45-50 range). This rule change would benefit me greatly and ensure that my time is paid for!” and “Please, I would love to be paid for the extra hours I work!”

The department’s final rule, which will go into effect on July 1, 2024, will increase the standard salary level that helps define and delimit which salaried workers are entitled to overtime pay protections under the FLSA. 

Starting July 1, most salaried workers who earn less than $844 per week will become eligible for overtime pay under the final rule. And on Jan. 1, 2025, most salaried workers who make less than $1,128 per week will become eligible for overtime pay. As these changes occur, job duties will continue to determine overtime exemption status for most salaried employees.

The rule will also increase the total annual compensation requirement for highly compensated employees (who are not entitled to overtime pay under the FLSA if certain requirements are met) from $107,432 per year to $132,964 per year on July 1, 2024, and then set it equal to $151,164 per year on Jan. 1, 2025.

Starting July 1, 2027, these earnings thresholds will be updated every three years so they keep pace with changes in worker salaries, ensuring that employers can adapt more easily because they’ll know when salary updates will happen and how they’ll be calculated.

The final rule will restore and extend the right to overtime pay to many salaried workers, including workers who historically were entitled to overtime pay under the FLSA because of their lower pay or the type of work they performed. 

We urge workers and employers to visit  our website to learn more about the final rule.

Jessica Looman is the administrator for the U.S. Department of Labor’s Wage and Hour Division. Follow the Wage and Hour Division on Twitter at  @WHD_DOL  and  LinkedIn .  Editor's note: This blog was edited to correct a typo (changing "administrator" to "administrative.")

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Supreme Court wrestles with abortion clash over emergency room treatment for pregnant women

WASHINGTON — The Supreme Court appeared divided Wednesday as it grappled with whether provisions of Idaho's near-total abortion ban unlawfully conflict with a federal law aimed at ensuring certain standards for emergency medical care for patients, including pregnant women.

Some conservative justices, who have a 6-3 majority, appeared skeptical about the Biden administration’s lawsuit arguing that the state ban restricts potentially lifesaving treatment for women suffering complications during pregnancy.

Liberal members of the court appeared to back the administration's position.

The justices are weighing an appeal brought by Idaho officials who are contesting a lawsuit the Biden administration filed over abortion access in emergency situations.

The state abortion law was enacted in 2020, with a provision stating it would go into effect if the Supreme Court overturned Roe v. Wade, the 1973 ruling that found women had a constitutional right to abortion.

The 2020 law, called the Defense of Life Act,  went into effect  in 2022 when the Supreme Court  rolled back  Roe.

The state law says anyone who performs an abortion is subject to criminal penalties, including up to five years in prison. Health care professionals found to have violated the law can lose their professional licenses.

The federal government sued, leading a federal judge in August 2022 to block the state from enforcing provisions concerning medical care that is required under the federal Emergency Medical Treatment and Labor Act, or EMTALA.

The federal law, enacted in 1986, requires that patients receive appropriate emergency room care. The Biden administration argues that care should include abortions in certain situations. The law applies to any hospital that receives federal funding under the Medicare program.

There is an exception to the Idaho law if an abortion is necessary to protect the life of the pregnant woman, although the scope of the exception came under close scrutiny during the oral argument.

Idaho’s lawyer, Joshua Turner, faced tough questioning about whether the exception can also apply to a situation in which a woman has complications that pose a substantial health risk but not imminent death.

Liberal Justice Elena Kagan said federal law says “that you don’t have to wait until the person is on the verge of death.”

“If the woman is going to lose her reproductive organs, that’s enough to trigger this duty on the part of the hospital to stabilize the patient,” she said.

Fellow liberal Justice Sonia Sotomayor asked similar questions, providing several examples of real-life situations in which women have faced emergency situations when doctors had to make calls about whether to authorize abortions, including a situation in which a patient at 16 weeks of pregnancy whose water broke was at risk of sepsis or a hemorrhage after she was refused an abortion in Florida.

"Is that a case in which Idaho the day before would have said it's OK to have an abortion?" Sotomayor asked.

Turner argued that such medical decisions are “subjective” and that a doctor’s judgment in such instances would be based on good faith, not an objective standard.

Justices Amy Coney Barrett and Brett Kavanaugh, both conservatives, indicated they saw Idaho’s law as allowing for treatment similar to what the Biden administration says the federal law requires, suggesting that there may not be any conflict.

At one point Barrett said she was "shocked" at Turner's answers to questions about what kind of treatment was allowed, because "I thought your own expert had said below that these kinds of cases were covered."

Kavanaugh likewise questioned the daylight between the two laws, wondering what the implications are if "Idaho law allows an abortion in each of the emergency circumstances that is identified by the government."

"What does that mean for what we're deciding here?" he asked Turner.

Conservative Justice Samuel Alito seemed most skeptical of the federal government's argument, at one point mentioning language in the federal law referring to treatment for an "unborn child," a term more commonly used by anti-abortion advocates.

"Isn't that an odd phrase to put in a statute that imposes a mandate to perform abortions?" Alito asked Solicitor General Elizabeth Prelogar.

"Have you seen abortion statutes that use the phrase 'unborn child'? Doesn't that tell us something?"

Prelogar responded that the phrase did not displace the requirement that women get the treatment they need in emergency situations.

Conservative justices, including Neil Gorsuch, also questioned whether the federal government even has the power to mandate health standards when they are tied to Medicare funding.

In January, the Supreme Court allowed Idaho to enforce the provisions while also agreeing to hear oral arguments in the case. Other provisions of the ban are already in effect and will not be affected by how the justices rule.

The decision will affect not just Idaho but also other states, including Texas, that have enacted similar abortion bans that abortion-rights advocates say clash with the federal law.

In blocking parts of the state law that conflict with federal law, U.S. District Court Judge B. Lynn Winmill described the state’s actions as putting doctors in a difficult situation.

“The doctor believes her EMTALA obligations require her to offer that abortion right now. But she also knows that all abortions are banned in Idaho. She thus finds herself on the horns of a dilemma. Which law should she violate?” he wrote.

The San Francisco-based 9th U.S. Circuit Court of Appeals briefly put Winmill’s ruling on hold in September, but it subsequently allowed it to go back into effect, prompting the state officials to turn to the Supreme Court.

Prelogar wrote in court papers that EMTALA requires "necessary stabilizing treatment," which in cases involving pregnant women in emergency situations may require abortions.

"And in those limited but critically important circumstances EMTALA requires the hospital to offer that care," she added.

The state argues that it was only after Roe was overturned that the Biden administration said EMTALA could be interpreted to require abortions in some contexts, calling it a "nationwide abortion mandate."

EMTALA "merely prohibits emergency rooms from turning away indigent patients with serious medical conditions," Idaho Attorney General Raúl Labrador wrote in court papers. The law was not intended to override state laws regulating health care, he added.

The Idaho dispute is one of two abortion cases now pending at the Supreme Court, both of which arose in the aftermath of the 2022 decision to overturn Roe v. Wade. In the other case, the court is considering a challenge that could restrict access to mifepristone, the drug most commonly used for medication abortions.

Lawrence Hurley covers the Supreme Court for NBC News.