Tips on Making Assumptions in a Research Paper

How to Write and Make Assumptions in Research: A Practical Guide for Nigerian Students

Estimated Reading Time: 8-10 minutes

Understanding Assumptions in Research

When you’re writing a thesis, dissertation, or research project, one of the most critical components that often gets overlooked is properly identifying and articulating your research assumptions. If you’re a Nigerian student working toward your final year project or advanced degree, this is especially important because your examiners will scrutinize whether you’ve clearly acknowledged the foundational beliefs underlying your study.

In academic research, an assumption is an unexamined belief that you accept as true or plausible without requiring proof at the outset. These are the statements that form the foundation of your entire research framework, allowing you to proceed with your investigation with confidence. Unlike hypotheses that you actively test, assumptions are the starting points that make your research possible.

Here’s the reality: properly formulated assumptions demonstrate methodological rigor and protect your research from criticism. When examiners or reviewers see that you’ve explicitly acknowledged your assumptions, they understand that you’ve thought critically about what needs to be true for your research to be valid. This is exactly what distinguishes excellent research from mediocre work.

If you’re struggling with how to identify, articulate, and integrate assumptions into your dissertation or thesis, you’re not alone. This is where many Nigerian students get stuck, spending countless hours revising this section. This is precisely why PremiumResearchers specializes in helping students master this crucial component. Our team has guided thousands of students through the assumption-setting process, ensuring their research stands up to academic scrutiny.

What Exactly Is an Assumption in Research?

An assumption in research is a foundational proposition that your audience—your supervisors, examiners, and peers—will accept as true or at least plausible. It’s something you believe to be true, not because you’ve proven it, but because accepting it allows your research to proceed logically.

Consider a practical example: if you’re conducting a study on employee productivity in Nigerian manufacturing companies, you might assume that “employees will respond honestly to workplace satisfaction surveys.” This assumption is necessary because without it, your entire data collection would be compromised. You’re not asking them to prove they’ll be honest; you’re acknowledging that your research depends on this being true.

The concept goes deeper than simple beliefs. Research assumptions represent the bridge between what we already know and what we want to discover. They’re the theoretical and methodological foundations that enable research to move forward. Every legitimate study rests on assumptions—recognizing this and stating them explicitly is what separates credible research from flawed investigations.

Why Assumptions Matter for Your Research Success

Many students ask: “Aren’t assumptions just a box to check? Do they really matter?” The answer is an emphatic yes, and here’s why:

Assumptions define your research scope and limitations. By explicitly stating what you believe to be true, you’re simultaneously defining what falls outside your research boundaries. This clarity is essential for academic credibility. When an examiner reads your assumptions, they immediately understand the parameters within which you’re working and the conditions under which your conclusions are valid.

Assumptions protect you from unfounded criticism. When you encounter a research flaw during your defense or in feedback, if that flaw violates one of your stated assumptions, you can legitimately argue: “That wasn’t within the scope of my assumptions.” Without explicit assumptions, you’re vulnerable to criticism on all fronts.

Assumptions demonstrate research maturity. Acknowledging assumptions shows that you understand research methodology at a sophisticated level. You’re not naively assuming your research is universally valid; you’re thoughtfully recognizing the conditions necessary for your findings to hold true.

Assumptions enable reproducibility and theoretical advancement. When future researchers understand your assumptions, they can either replicate your study under the same assumptions or deliberately test what happens when those assumptions change. This is how academic knowledge builds over time.

For students at Nigerian institutions like UNILAG, University of Nigeria Nsukka, or Obafemi Awolowo University, properly stated assumptions often represent the difference between a pass and a distinction. Your examination board is looking for evidence of critical thinking, and assumptions are a primary place where this thinking becomes visible.

Step-by-Step Guide to Writing Research Assumptions

Step 1: Identify Your Fundamental Principles

Start by asking yourself: “What must be true for my research to work?” These fundamental truths are your assumptions. For example:

• In a study on online learning effectiveness, you might assume: “Students have access to stable internet connectivity throughout the study period”
• In organizational research, you might assume: “Management policies will remain consistent during data collection”
• In healthcare studies, you might assume: “Participants will follow prescribed treatment protocols”

Write these out in simple, direct language. Don’t overthink this stage; just identify what needs to be true.

Step 2: Justify Each Assumption

Once you’ve identified your assumptions, explain why each one is necessary. This is critical. Don’t just list assumptions; explain the reasoning behind them. For instance:

Assumption: “Respondents will answer survey questions honestly.”

Justification: “This assumption is necessary because the validity of this research depends on accurate data collection. Without honest responses, any conclusions drawn would be unreliable. To support this assumption, survey confidentiality measures will be implemented, including anonymous questionnaire administration and secure data storage.”

Notice how the justification doesn’t just explain why the assumption exists—it also describes what you’re doing to support it.

Step 3: Use Explicit and Unambiguous Language

Your assumptions must be stated clearly and specifically. Avoid vague language like “participants will try their best” or “data will be accurate.” Instead, write:

• “Participants will complete all required questionnaires with no more than 10% missing data”
• “Measurement instruments will maintain calibration within 0.5% tolerance throughout the study period”
• “Interview participants will provide responses that reflect their authentic experiences and perspectives”

Specificity prevents misunderstanding and demonstrates that you’ve thought carefully about what you’re assuming.

Step 4: Connect Assumptions to Methodology

Your assumptions should directly relate to your research methodology. If you’re using quantitative methods, your assumptions might concern data distribution, variable independence, or measurement reliability. If you’re using qualitative methods, your assumptions might concern participant recall, narrative authenticity, or researcher objectivity.

Make these connections explicit. Show that you understand how your methodological choices rest on specific assumptions.

Assumptions vs. Hypotheses: Clearing the Confusion

One of the most common sources of confusion in academic research is the difference between assumptions and hypotheses. Many students use these terms interchangeably, which is a significant error that can undermine the credibility of their entire dissertation.

What They Have in Common

• Both are statements accepted without initial proof: You don’t need empirical evidence to propose an assumption or hypothesis; you propose them based on reasoning and theory
• Both must be stated affirmatively: Never phrase assumptions or hypotheses as questions. Say “Students will be motivated to participate” not “Will students be motivated to participate?”
• Both can be evaluated during research: As you conduct your study, you may discover that your assumptions or hypotheses were incorrect

Critical Differences

Assumptions are the starting point; hypotheses are what you test. Your assumptions are the foundational beliefs that allow your research to proceed. Your hypotheses are the specific, testable predictions you’re actively investigating. Think of assumptions as the platform on which your hypothesis stands.

You don’t actively test assumptions; you test hypotheses. A hypothesis is something you’re trying to prove or disprove through your research. An assumption is something you accept as true to enable the research process. If you’re testing something, it’s not an assumption—it’s a hypothesis.

Assumptions underlie hypotheses. When you propose a hypothesis about the relationship between two variables, you’re typically assuming that other factors that might affect this relationship are being held constant or controlled. The hypothesis is visible; the assumptions supporting it are often invisible.

Example that illustrates the difference:

Assumption: “Students in traditional classroom settings will have regular attendance rates of at least 80%.”

Hypothesis: “Students who receive peer tutoring will perform significantly better on standardized tests than students who receive traditional instruction.”

The assumption is necessary for you to conduct the study fairly. The hypothesis is what you’re actually testing. If you need to change your assumption (perhaps attendance is only 60%), that’s a limitation. If your hypothesis is disproven, that’s a finding.

Identifying Field-Specific Assumptions

Different research contexts carry different typical assumptions. Understanding what assumptions are standard in your field helps you identify what you need to make explicit.

Quantitative Research Assumptions

If you’re conducting quantitative research (surveys, experiments, statistical analysis), typical assumptions include:

• Normal Distribution: Data follows a normal (bell curve) distribution, which is essential for many statistical tests
• Independence of Variables: Variables are independent of one another except where explicitly noted as dependent relationships
• Measurement Reliability: Instruments and tools measure what they claim to measure consistently and accurately
• Sample Representativeness: Your sample adequately represents the larger population
• Homogeneity of Participants: Participants are sufficiently similar on relevant characteristics

Qualitative Research Assumptions

If you’re conducting qualitative research (interviews, focus groups, case studies), typical assumptions include:

• Participant Authenticity: Participants will provide genuine, truthful responses that reflect their actual experiences
• Data Saturation: A point will be reached where further interviews yield no new meaningful information
• Researcher Objectivity: The researcher will maintain appropriate distance and not unduly influence findings
• Transferability: Findings from one context may be meaningfully applied to similar contexts with appropriate caveats
• Participant Recall: Participants can accurately remember and articulate past experiences

Discipline-Specific Examples

Educational Research: “Students will maintain regular attendance throughout the study period” and “Assessment tools accurately measure learning outcomes.”

Health Sciences: “Patients will adhere to treatment protocols as prescribed” and “Self-reported health information is accurate and complete.”

Business/Management Studies: “Company policies and organizational structures will remain stable during data collection” and “Respondents have sufficient knowledge to answer questions about organizational matters.”

Psychology Research: “Participants will respond honestly to sensitive personal questions” and “Behavioral observations in controlled settings reflect typical behavior patterns.”

The key is understanding what assumptions are standard in your discipline, then making them explicit rather than leaving them implicit.

Four Proven Strategies for Handling Assumptions

Once you’ve identified your assumptions, you have four strategic options for how to handle them in your dissertation. Choose based on the strength of your theoretical foundation and the likely objections of your readers.

Strategy 1: Retain Without Extensive Justification

If your assumption is so well-established in your field that it requires minimal justification, you can state it and move on. For example, in educational research, the assumption that “assessment scores measure student learning” is so foundational that you don’t need extensive justification—your readers will accept it as standard.

When to use this approach: When your assumption aligns with established theoretical frameworks and standard research practices in your discipline. You can simply state: “This study assumes that standardized achievement tests provide valid measures of student academic performance, consistent with established educational assessment practices.”

Strategy 2: Make It Explicit and Elaborate

This is the most common and often the most effective approach. You state your assumption clearly, explain why it’s necessary, and describe what steps you’re taking to support it. This demonstrates thoroughness and shows your examiners that you’ve thought critically about your research design.

Example: “This study assumes that survey respondents will answer questions honestly. This assumption is necessary because the validity of the findings depends entirely on the accuracy of self-reported data. To support this assumption, all questionnaires will be administered anonymously, participants will be assured of confidentiality, and data will be stored securely with restricted access. Additionally, survey items have been validated in previous studies to ensure clarity and reduce misunderstanding.”

Strategy 3: Add Supporting Evidence

If you anticipate that readers might challenge one of your assumptions, buttress it with evidence from existing research or theory. This doesn’t make it stop being an assumption (assumptions aren’t proven), but it demonstrates that your assumption rests on solid ground.

Example: “This study assumes that workplace motivation is significantly influenced by managerial feedback, consistent with the evidence from Self-Determination Theory (Ryan and Deci, 2000) and empirical studies in organizational psychology (Smith et al., 2019). This assumption is central to our hypothesis that structured feedback programs will enhance employee productivity.”

Strategy 4: Rephrase and Refine

Sometimes, after examining an assumption, you realize it’s too broad, too risky, or not well-founded. Rather than keeping a weak assumption, rephrase it into something more defensible or remove it entirely and address it as a limitation instead.

Weak assumption: “All respondents will provide accurate information.”

Refined assumption: “Respondents will provide responses that reflect their genuine perceptions, even if those perceptions are not objectively accurate. The research measures perceived experiences rather than objective reality.”

This refined version is more honest and easier to defend because it acknowledges that you’re measuring perceptions, not objective facts.

Critical Mistakes to Avoid When Stating Assumptions

Understanding what NOT to do is as important as understanding what to do. Here are the mistakes that most frequently undermine students’ assumption statements:

Mistake 1: Assuming Lack of Proof Means Invalid

Many students worry that assumptions without proof are weak or problematic. This is a fundamental misunderstanding of what assumptions are. By definition, assumptions don’t require proof. If something requires proof, it’s not an assumption—it’s a hypothesis or a claim that needs substantiation.

The issue isn’t whether your assumption is proven; it’s whether it’s reasonable and necessary for your research to proceed. A well-chosen assumption that you can justify is perfectly valid.

Mistake 2: Confusing Assumptions with Hypotheses

This is perhaps the most common mistake. Students write assumptions that are actually hypotheses—statements they’re actively testing. Remember: if you’re testing it, it’s not an assumption.

Incorrect (this is a hypothesis): “Regular student participation in peer tutoring sessions improves academic performance.”

Correct (this is an assumption): “Students will honestly report their attendance at tutoring sessions.”

Mistake 3: Overextending Beyond Study Scope

Some students make assumptions that go far beyond what their study requires. For example, assuming that “findings from this study of three secondary schools in Lagos can be generalized to all secondary schools in Nigeria” is overextending. Instead, assume that “findings may be transferable to similar secondary school contexts in urban Nigeria with appropriate caution.”

Keep your assumptions tightly connected to your actual research scope.

Mistake 4: Stating Assumptions as Questions

Assumptions must be affirmative statements, not questions. “Will participants respond honestly?” is not an assumption. “Participants will respond honestly to survey items” is an assumption. The difference matters because it shows you’re committing to a position rather than questioning it.

Mistake 5: Listing Assumptions Without Justification

Simply listing your assumptions with no explanation of why they’re necessary is insufficient. Each assumption needs to be justified. Explain why it’s necessary for your research, what it depends on, and ideally, what you’re doing to support it.

Mistake 6: Making Assumptions That Contradict Limitations

Your assumptions and limitations should complement each other, not contradict. If you assume “all participants will complete the study,” but then list as a limitation “some participants dropped out,” you’ve created confusion. Be consistent: either assume reasonable dropout rates, or don’t assume full completion.

Getting these elements right is crucial to your success, and it’s where professional support makes a genuine difference. PremiumResearchers’ experienced dissertation advisors can review your assumptions, ensure they’re correctly formulated, and integrate them seamlessly into your research methodology section. We’ve helped hundreds of Nigerian students move from confusion about assumptions to confident, well-articulated research foundations.

Practical Examples Across Disciplines

Let’s examine how different disciplines typically handle assumptions to give you concrete models for your own work.

Example 1: Nursing and Healthcare Research

Study Topic: “The effect of a new patient education program on medication adherence among hypertensive patients in a Lagos teaching hospital”

Assumptions:

• “Patients will take prescribed medications as directed during the study period”
• “Patients will respond truthfully to questions about medication adherence”
• “Baseline and follow-up blood pressure readings accurately reflect actual blood pressure status”
• “The patient population will remain relatively stable without major migrations during the study period”

How to justify these: Explain that medication adherence research assumes patient compliance because without it, outcome measures are meaningless. Blood pressure assumptions are justified by the reliability of validated measurement instruments. Population stability is important because major migrations would compromise your sample integrity.

Example 2: Business and Management Research

Study Topic: “Leadership styles and employee engagement in Nigerian financial institutions”

Assumptions:

• “Respondents will answer survey questions honestly about their leadership experiences”
• “Employee engagement can be reliably measured through self-report questionnaires”
• “Organizational structures and policies will remain stable during the 6-month data collection period”
• “Leadership styles observed during this study reflect typical organizational practice”

How to justify these: Explain that self-report measures require honest responses, supported by anonymous questionnaire administration. Organizational stability is critical because major restructuring could confound results. Typicality assumptions recognize that you’re studying organizations during a particular period.

Example 3: Social Sciences and Psychology Research

Study Topic: “The impact of social media usage on self-esteem among adolescents in urban Nigeria”

Assumptions:

• “Participants will accurately report their social media usage patterns”
• “Self-esteem scales measure psychological constructs as intended in Nigerian adolescent populations”
• “Behavioral patterns observed in questionnaires reflect actual social media behavior”
• “Family and peer environments will not dramatically change during the study period”

How to justify these: Explain that psychological research relies on self-report because internal experiences can’t be directly observed. Scale assumptions are justified by validation studies demonstrating the instruments’ reliability and cultural appropriateness. Environmental stability matters because dramatic changes in family or peer situations could influence self-esteem independent of social media effects.

Integrating Assumptions Into Your Dissertation

Knowing how to write assumptions is only part of the challenge. You also need to know where and how to integrate them into your dissertation for maximum impact.

Where Assumptions Belong

Assumptions typically appear in three key locations:

• Chapter 1 (Introduction and Research Design): Basic assumptions that frame your entire research problem and research questions
• Chapter 3 (Methodology): Detailed assumptions related to your research design, data collection methods, instruments, and participant recruitment
• Discussion/Limitations Section: Reflection on how assumptions held up during your actual research and implications if assumptions were violated

How to Present Assumptions Effectively

Rather than burying assumptions in paragraphs, create a dedicated subsection titled “Assumptions” or “Assumptions of the Study” within your methodology chapter. Use a structured format:

Assumption 1: [Title]
Statement: [Clear, affirmative statement]
Justification: [Explanation of why this is necessary and how you support it]
Implications if violated: [What happens to your research if this assumption doesn’t hold]

This structure makes it easy for examiners to understand your reasoning and demonstrates that you’ve thoroughly considered these foundational elements.

Frequently Asked Questions About Research Assumptions