How to Present Your Biology Thesis Results Without Overinterpreting

By Dr. Zubair Khalid, DVM, MS, PhD · 2026-08-27

Quick Answer

• Present your biology thesis results as a factual record of observations, measurements, and statistical outcomes, with interpretation reserved for the discussion chapter.
• Structure results with descriptive subheadings that mirror your research questions, and use figures and tables to display data clearly before any explanatory text.
• A key limitation is that separating results from interpretation requires discipline, since even descriptive language can imply meaning, so review each sentence for interpretive wording.

At a Glance

Understanding the Results and Discussion Distinction

The results chapter of a biology thesis answers the question "what did you observe?" The discussion chapter answers "what do those observations mean?" Mixing these two purposes creates a chapter that repeats itself and forces readers to untangle facts from opinions.

A results section should read like a laboratory notebook entry that has been organized for clarity. It reports what happened during your experiments, including measurements taken, conditions tested, and statistical outcomes. It does not explain why those outcomes occurred, how they compare to published work, or what they imply for your field.

The discussion chapter is where you interpret your findings. There you can compare your results to published literature, propose mechanisms, acknowledge limitations, and suggest future work. This division is standard in scientific writing because it allows readers to evaluate your data independently before considering your conclusions.

For biology theses, this separation matters because experimental data often supports multiple interpretations. A reader who can see your raw results without your interpretive framing can draw their own conclusions. If you embed interpretation in the results, you reduce the reader's ability to assess your evidence critically.

The practical rule is simple. If a sentence contains a verb like "shows," "demonstrates," "indicates," "suggests," or "implies," check whether you are stating a fact or making an argument. "The treatment group had a mean survival of 12 days" is a result. "The treatment improved survival" is an interpretation.

Planning Your Results Chapter Before Data Collection

Align Results Structure with Research Questions

The structure of your results chapter should be decided before you collect data, not after. Start by listing your research questions or hypotheses. Each major question becomes a candidate for a results subsection. This alignment ensures that your results chapter directly addresses the aims stated in your introduction.

For example, if your thesis asks whether a specific gene affects drought tolerance in a crop species, your results sections might be organized by the traits you measured, such as germination rate, leaf water potential, and biomass accumulation. Each subsection reports the data for that trait without discussing whether the gene is a viable target for breeding programs.

This planning step also helps you identify what data you need to collect. If a research question requires a specific statistical test, you need to ensure your experimental design produces the appropriate data. Planning your results structure early prevents the common problem of discovering after data collection that you lack the measurements needed to answer your research questions.

Create a Results Outline With Your Advisor

Draft a preliminary outline of your results chapter and review it with your thesis advisor before you begin writing. The outline should list each subsection title, the figures and tables planned for that subsection, and the statistical tests you intend to report. This review catches structural problems early, when they are easier to fix.

Your advisor can also help you determine whether your planned analyses are appropriate for your data. Statistical consulting services at many universities can review your analysis plan before you run the tests. This step is especially important for complex experimental designs with multiple factors or repeated measurements.

The outline also serves as a timeline tool. You can estimate how long each analysis and figure will take, then build a writing schedule. Thesis timelines often underestimate the time required for figure preparation and revision, so build in extra time for those tasks.

Structuring the Results Chapter

Use Descriptive Subheadings

Each subsection of your results chapter should have a heading that describes the specific finding or experimental condition. Avoid generic headings like "Results for Experiment 1" or "Data Analysis." Instead, use headings that tell the reader what was measured and under what conditions.

A heading like "Effect of Salinity on Germination Rate" is more informative than "Experiment 2 Results." The descriptive heading allows readers to locate specific findings quickly and helps you maintain focus on reporting instead of interpreting.

The number of subsections depends on the scope of your thesis. A thesis with three research questions might have three to six results subsections. A thesis with a single comprehensive experiment might have subsections organized by measured variable. The key is that each subsection has a clear purpose and does not overlap with others.

Present Figures Before Text

In each results subsection, place figures and tables before the text that describes them. This ordering allows readers to examine the data first, then read your description of what the data show. It also prevents the text from becoming a narrative that interprets the figures instead of describing them.

Each figure should be numbered sequentially and have a caption that explains what is shown. The caption should be self-contained, meaning a reader can understand the figure without reading the main text. Include the experimental conditions, the variables plotted, and the meaning of error bars or symbols in the caption.

Refer to each figure in the text by its number, such as "Figure 3 shows the change in bacterial growth over time." Do not write "the figure below" or "the following graph," because figure placement may shift during formatting.

Write Results Text as Description, Not Explanation

The text in each results subsection should describe what the figures and tables show. Use the past tense to report what you observed. State the measurements, the statistical test used, and the outcome of that test.

A typical results paragraph might read: "Mean root length was 4.2 cm in the control group and 6.8 cm in the treatment group. A two-sample t-test indicated a significant difference between groups (t = 3.41, df = 18, p = 0.003)."

This paragraph reports facts. It does not say that the treatment promoted root growth or that the result supports a specific mechanism. Those statements belong in the discussion.

Avoid phrases like "interestingly," "surprisingly," or "as expected." These words signal interpretation and evaluation. They tell the reader how you feel about the data instead of what the data show.

Designing Effective Figures and Tables

Choose the Right Figure Type for Your Data

The type of figure you use should match the nature of your data and the message you want to convey. Bar graphs work well for comparing group means. Line graphs show changes over time or across a continuous variable. Scatter plots display relationships between two variables. Box plots show the distribution of data, including median, quartiles, and outliers.

Do not use a figure type simply because it looks impressive. A three-dimensional bar graph that obscures the actual values is worse than a simple two-dimensional graph that shows the data clearly. Your goal is to communicate your results accurately, not to decorate the page.

Each figure should convey one main message. If you find yourself adding multiple panels to show different aspects of the same data, consider whether separate figures would be clearer. Multiple panels are appropriate when they show related data that need to be compared, but they should not be used to pack unrelated information into a single figure.

Label Axes and Define Symbols Clearly

Every figure must have clearly labeled axes with units. The font size should be large enough to read without magnification. If you use symbols, colors, or line styles to distinguish groups, include a legend that defines them.

Error bars should be defined in the figure caption. State whether they represent standard deviation, standard error, or a confidence interval. This information is essential for readers to assess the precision of your measurements.

When you present statistical comparisons on a figure, indicate which comparisons were made and which were significant. Common conventions include asterisks for significance levels or letters to indicate groups that differ. Define these conventions in the caption.

Use Tables for Exact Values and Complex Comparisons

Tables are appropriate when readers need exact values, when you are comparing many groups or variables, or when the data are too complex for a simple figure. A table can present summary statistics for multiple variables across multiple groups in a compact format.

Design tables so that each row and column has a clear label. Include units in column headers instead of repeating them in every cell. Round numbers to a reasonable number of decimal places, typically two or three, unless more precision is needed.

Do not include raw data in your results tables. Raw data belong in supplementary materials or an appendix. Your results tables should present summary statistics, such as means, standard deviations, and sample sizes, or the outcomes of statistical tests.

Reporting Statistical Analyses

State the Test and Its Purpose

For every statistical test you report, state the test name, the variables included, and the question the test addresses. This information allows readers to evaluate whether the test was appropriate for your data.

A complete statistical report might read: "A one-way analysis of variance was used to compare mean enzyme activity across the four temperature treatments. The analysis indicated a significant effect of temperature on enzyme activity (F = 5.82, df = 3, 28, p = 0.003)."

This statement tells the reader what test was used, what variables were involved, and what the outcome was. It does not explain what the result means biologically.

Report Effect Sizes and Confidence Intervals

Statistical significance tells you whether an effect is likely to be real, but it does not tell you how large the effect is. Report effect sizes and confidence intervals alongside p-values to give readers a complete picture of your findings.

An effect size quantifies the magnitude of a difference or relationship. Common effect size measures include Cohen's d for differences between means and Pearson's r for correlations. A confidence interval provides a range of plausible values for the true effect.

For example, you might report: "The treatment group had a mean increase of 15 percent in seedling height compared to the control (95 percent CI: 8 to 22 percent)." This statement gives the reader both the magnitude of the effect and the uncertainty around it.

Describe Non-Significant Results Accurately

A non-significant result does not mean there was no effect. It means your data did not provide strong evidence of an effect. Report non-significant results with the same detail as significant ones, including the test statistic and p-value.

Avoid the phrase "there was no difference" when you mean "the difference was not statistically significant." The first statement claims a fact you cannot establish. The second statement accurately describes your statistical outcome.

If your study had low statistical power to detect an effect, acknowledge this limitation in your discussion. A small sample size may produce a non-significant result even when a real effect exists.

Common Failure Patterns in Results Chapters

Overinterpreting in the Results Text

The most common failure is writing interpretive statements in the results chapter. This pattern appears when students write sentences like "The treatment successfully increased growth" or "This result demonstrates that the gene is essential for development."

These statements make claims about causality, importance, or mechanism that go beyond the data. The results chapter should report that growth was higher in the treatment group and that the difference was statistically significant. Whether the treatment caused the increase and whether the gene is essential are questions for the discussion.

To catch this problem, read each sentence in your results chapter and ask whether it states a fact you observed or a conclusion you drew. If you cannot point to a specific measurement or statistical test that supports the sentence, it likely belongs in the discussion.

Repeating Figure Content in Text

Another common failure is writing text that simply restates what the figures show. A paragraph that says "Figure 1 shows the results. The control group had a mean of 5. The treatment group had a mean of 7. The difference was significant" adds little beyond the figure itself.

Instead, use the text to highlight the most important aspects of the data, point out patterns that may not be obvious from the figure, and direct the reader's attention to specific comparisons. The text should add value beyond the figure, not duplicate it.

Including Raw Data in the Main Text

Some students include extensive raw data tables in their results chapters, thinking that more data means more thorough reporting. This approach buries the important findings under a mass of numbers.

Your results chapter should present summarized data that directly address your research questions. Raw data, such as individual measurements from every replicate, belong in supplementary materials or an appendix where interested readers can access them without disrupting the main narrative.

Mixing Methods Into Results

The methods chapter describes how you conducted your experiments. The results chapter reports what you found. Some students repeat methods details in the results, especially when describing a figure or table.

If a figure caption needs to explain the experimental conditions, include that information in the caption. But do not describe your experimental procedure in the results text. Direct readers to the methods chapter for procedural details.

Practical Steps for Writing Your Results Chapter

Step 1: Assemble All Figures and Tables

Before writing any text, compile all the figures and tables you plan to include in your results chapter. Review each one to ensure it is complete, clearly labeled, and directly relevant to your research questions. Remove any figure or table that does not serve a clear purpose.

This assembly step helps you see the overall structure of your results chapter. You can check whether the figures and tables tell a coherent story and whether any important data are missing.

Step 2: Write Descriptive Subheadings

Draft subheadings for each results subsection based on your research questions and the data you have assembled. Each subheading should describe the specific finding or experimental condition covered in that subsection.

Review the subheadings as a group to ensure they are parallel in structure and cover all your research questions. Revise any subheading that is vague, redundant, or unclear.

Step 3: Draft Results Text for Each Subsection

For each subsection, write a description of what the figures and tables show. Start with the most important finding, then provide supporting details. State the statistical tests and their outcomes. Do not interpret the results.

Write in the past tense and use precise language. Avoid vague terms like "somewhat," "slightly," or "relatively." State the actual measurements and values.

Step 4: Review for Interpretive Language

Read your entire results chapter and highlight every sentence that makes a claim beyond the data. Common interpretive phrases include "this shows," "this demonstrates," "this suggests," and "this implies." Also highlight any sentence that compares your results to published work or proposes a mechanism.

Move these sentences to a separate document. They will become material for your discussion chapter. Replace them in the results with factual statements about what you observed.

Step 5: Check Figure and Table Referencing

Verify that every figure and table is referenced in the text and that every reference points to the correct figure or table. Check that figure and table numbers are sequential and that captions are complete.

Ask a colleague or lab mate to read your results chapter and identify any figure or table that is not referenced in the text. Unreferenced figures and tables should be removed or integrated into the narrative.

Step 6: Get Feedback From Your Advisor

Share your draft results chapter with your advisor and request feedback on structure, clarity, and the separation of results from interpretation. Ask specifically whether any sentences in the results chapter make interpretive claims that belong in the discussion.

Revise based on the feedback and repeat the review process until your advisor is satisfied. This iterative process is normal and expected in thesis writing.

Records and Documentation for Your Results

Maintain a Data Analysis Log

Keep a detailed log of every analysis you perform, including the date, the data file used, the statistical test run, and the software settings. This log allows you to reproduce your analyses and verify your results during the writing and revision process.

A data analysis log is also valuable when reviewers or committee members ask questions about your methods. You can quickly locate the exact analysis you ran and provide the details they request.

Store Raw Data and Analysis Scripts

Store your raw data files and any analysis scripts or code in an organized folder structure. Use descriptive file names that include the date and experiment name. Back up these files to a secure location.

Many funding agencies and institutions now require data management plans that describe how data will be stored, documented, and shared. Following these practices during your thesis work prepares you for these requirements and protects your research from data loss.

Document Figure and Table Versions

Keep track of the versions of each figure and table you create. When you revise a figure, save the new version with a new file name instead of overwriting the old one. This practice allows you to revert to an earlier version if a revision does not work out.

Your thesis committee may request changes to figures during your defense preparation. Having a clear version history makes it easier to implement these changes and track what was modified.

Ethical Considerations in Presenting Results

Report All Relevant Data

Present all results that are relevant to your research questions, including those that do not support your hypotheses. Selective reporting of only favorable results is a form of research misconduct that undermines the integrity of your work.

If an experiment failed or produced unexpected results, report it honestly. You can discuss possible reasons for the failure in your discussion chapter. Hiding inconvenient results misleads readers and can damage your reputation if the omission is discovered.

Do Not Manipulate Images

When preparing figures, do not alter images in ways that misrepresent your data. Adjusting brightness or contrast for clarity is acceptable, but removing or adding features, cropping out unwanted data, or enhancing specific areas is not.

Scientific journals and funding agencies take image manipulation seriously. Cases of image manipulation have led to retractions and loss of funding. Present your images honestly and keep the original files available for verification.

Acknowledge Contributions and Conflicts

If other people contributed to your data collection or analysis, acknowledge their contributions appropriately. This includes lab technicians, collaborators, and undergraduate assistants. Discuss authorship and acknowledgment expectations with your advisor early in your project.

Disclose any conflicts of interest that could affect your research. This includes financial interests, personal relationships, or institutional pressures that might influence your work. Transparency about potential conflicts builds trust in your results.

Professional Escalation Criteria

When to Consult Your Advisor

Consult your advisor if you are unsure whether a specific statement belongs in the results or discussion chapter. Your advisor can provide guidance based on the conventions in your field and the expectations of your program.

Also consult your advisor if you discover problems with your data, such as missing measurements, equipment malfunctions, or unexpected patterns. Your advisor can help you determine whether the problems affect your ability to answer your research questions and how to address them in your thesis.

When to Seek Statistical Consulting

Seek statistical consulting if you are uncertain about the appropriate statistical test for your data, if your data violate the assumptions of your planned test, or if your experimental design is complex. Many universities offer free statistical consulting services for graduate students.

A statistical consultant can help you choose appropriate tests, interpret your results correctly, and report your analyses in a way that meets the standards of your field. This support is especially valuable for students who have limited statistical training.

When to Consult Your Institution's Research Office

Consult your institution's research office if you have questions about data management requirements, authorship policies, or research misconduct procedures. These offices can provide official guidance on institutional policies and regulatory requirements.

Your institution's research office can also help you understand funding agency requirements, such as data sharing policies, that may affect how you store and present your data. Following these requirements during your thesis work prevents problems later.

Limitations of the Results Chapter

Results Do Not Establish Causality

Your results chapter reports associations and differences you observed. It does not establish that one variable caused another. Causal claims require careful reasoning about experimental design, alternative explanations, and supporting evidence, which belongs in the discussion.

Even a well-designed experiment with a significant result does not prove causation. There may be confounding variables, measurement errors, or alternative mechanisms that explain your findings. Acknowledge these possibilities in your discussion.

Results Are Specific to Your Experimental Conditions

Your results apply to the specific conditions of your experiments, including your study organism, your measurement methods, and your experimental environment. They may not generalize to other conditions, populations, or settings.

Do not claim in your results that your findings apply broadly. State what you observed under your specific conditions. Discuss the generalizability of your findings in the discussion chapter.

Statistical Significance Is Not Biological Importance

A statistically significant result does not necessarily mean the effect is biologically important. A large sample size can produce a significant result for a tiny effect that has no practical relevance.

Report effect sizes and confidence intervals so readers can assess the magnitude of your findings. Discuss the biological or practical importance of your results in the discussion chapter.

Frequently Asked Questions

How do I know if a sentence belongs in results or discussion?

Ask whether the sentence states a fact you observed or a conclusion you drew. If you can point to a specific measurement, figure, or statistical test that supports the sentence, it belongs in results. If the sentence explains why the result occurred, compares it to published work, or proposes implications, it belongs in discussion.

Should I include every statistical test I ran in my results?

Include the statistical tests that directly address your research questions. Tests that were exploratory, preliminary, or that did not contribute to your main findings can be mentioned briefly or placed in supplementary materials. Do not include every test you ran during data exploration.

How many figures and tables should my results chapter have?

The number depends on the scope of your thesis and the amount of data you collected. Each figure and table should serve a clear purpose and directly address your research questions. If a figure or table does not add information beyond what is already presented, remove it.

Can I use the same figure in my results chapter and my published paper?

Yes, you can reuse figures from your thesis in a published paper, and vice versa, if you hold the copyright or have permission from the copyright holder. Check your university's thesis policies and the journal's copyright policies to ensure compliance.

What should I do if my results do not support my hypothesis?

Report your results honestly, even if they do not support your hypothesis. Non-significant results and unexpected findings are legitimate scientific outcomes. Use your discussion chapter to explore possible reasons for the unexpected results and to suggest future research directions.

How do I write a figure caption that is self-contained?

A self-contained figure caption states the experimental conditions, the variables shown, the meaning of symbols and error bars, and the statistical comparisons presented. A reader should be able to understand the figure without reading the main text. Write the caption as a complete description of what the figure displays.

Should I report p-values or confidence intervals?

Report both when possible. A p-value indicates whether the result is statistically significant, while a confidence interval shows the range of plausible values for the effect. Confidence intervals provide more information than p-values alone and are increasingly expected in scientific reporting.

How do I handle results from experiments that failed?

Report failed experiments honestly if they are relevant to your research questions. Describe what you did, what you observed, and any technical problems that may have contributed to the failure. Discuss the implications of the failed experiment in your discussion chapter and explain how you addressed the problem in subsequent experiments.

Using the Evidence

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References and Further Reading

• Research Methods Resources. National Library of Medicine.
• EQUATOR Network. EQUATOR Network.
• Core Practices. Committee on Publication Ethics.
• NIH Grants and Funding. National Institutes of Health.
• ORCID for Researchers. ORCID.
• Data Management and Sharing Policy. National Institutes of Health.
• NCBI Literature Resources. National Center for Biotechnology Information.
• PubMed. National Library of Medicine.

This article is educational and does not replace institutional policy, professional advice, or applicable safety and regulatory requirements.