Academic Writing

How To Write The Dissertation Or Thesis Results

Q: Should I interpret my results in the results chapter?

No, the results chapter is strictly for presenting your findings objectively. Interpretation, discussion of implications, and comparison with previous research belong in the discussion chapter.

Q: How much detail should I include in my results?

Include enough detail for your reader to understand your findings and assess their validity. This means reporting key statistics, presenting relevant tables and figures, and providing clear narrative descriptions. Avoid overwhelming the reader with raw data or unnecessary minutiae.

Q: What's the difference between a table and a figure?

Tables are best for presenting precise numerical data in rows and columns, allowing for easy comparison of specific values. Figures (like graphs, charts, or images) are better for illustrating trends, patterns, relationships, or comparisons that are more easily visualized than read from a table.

Q: How do I handle unexpected or negative results?

Present unexpected or negative results with the same objectivity as positive ones. Clearly report what the data shows. Their significance and potential reasons can be explored in the discussion section.

The results section of your dissertation or thesis is where your hard work comes to life. It’s not just about presenting numbers; it’s about telling the story of your findings clearly and logically. This guide offers practical advice on structuring your results, presenting data effectively, and ensuring your chapter supports your overall argument. We cover everything from initial data organization to writing compelling narrative descriptions, helping you showcase your research with confidence.

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The Heart of Your Research: Presenting Your Findings

Your dissertation or thesis is a significant undertaking, and the results chapter stands as a crucial pillar. It’s the section where you lay out the evidence you’ve gathered, the data you’ve analyzed, and the patterns you’ve uncovered. This isn't merely a dumping ground for statistics; it's a carefully constructed narrative that demonstrates the outcomes of your research questions. Getting this right requires clarity, precision, and a deep understanding of what your data actually means. Many students find this chapter challenging because it demands a different kind of writing than the literature review or methodology. Here, you’re not synthesizing existing work or explaining how you did something; you’re showing what you found and setting the stage for its interpretation.

Laying the Groundwork: Before You Write

Before you even type a single sentence of your results chapter, a substantial amount of preparatory work is essential. Think of it like preparing the stage before the main performance. First, ensure your data is thoroughly cleaned and organized. This means checking for errors, handling missing values appropriately, and structuring your datasets in a way that makes analysis straightforward. If you’re using statistical software, make sure you understand the output and have run all necessary analyses. For qualitative research, this involves having your transcripts coded and themes identified. The next critical step is to review your research questions and hypotheses. Your results must directly address these. Go back to your introduction and methodology chapters; what were you trying to find out? What did you set out to test? Your results chapter should provide the answers and evidence.

Consider the story your data tells. Before writing, spend time looking at your tables, figures, and key findings. What are the most important takeaways? What trends emerge? What relationships are evident? Jotting down these key points can help you structure the narrative flow of your chapter. It’s also wise to consult your supervisor at this stage. They can offer guidance on the expected format and level of detail for your specific field and institution. Some disciplines prefer extensive tables, while others lean towards more graphical representations. Understanding these conventions early can save you a lot of revision time later.

Structuring Your Results Chapter

A well-structured results chapter is easy to follow and allows readers to grasp your findings quickly. While specific formats can vary by discipline, a common approach involves organizing your results logically, often mirroring the order of your research questions or hypotheses. Start with descriptive statistics or an overview of your sample, if applicable. Then, present the results of your inferential analyses or the findings related to each research question. Each section should clearly state what you are presenting and then show the data that supports it. Avoid interpreting the results in this chapter; that’s the job of the discussion section. Stick to presenting the facts derived from your data.

Introduction/Overview: Briefly restate the purpose of the chapter and the analyses to be presented. For quantitative studies, this might include demographic information about your sample.
Main Findings: Present the results for each research question or hypothesis. This is the core of your chapter. Use subheadings to delineate different sets of findings.
Ancillary Findings (Optional): If you uncovered interesting results that weren't directly related to your primary questions but are still relevant, you can present them here.
Summary (Optional): Some students choose to include a brief summary of the key findings at the end of the chapter, though this can sometimes overlap with the discussion.

Presenting Data Effectively: Tables and Figures

Tables and figures are powerful tools for presenting complex data concisely. However, they must be used thoughtfully and effectively. A poorly designed table or an unclear figure can confuse readers rather than inform them. The general rule is: if the data can be presented clearly in a sentence or two, don't use a table or figure. Conversely, if it would take several sentences to describe the data accurately, a visual aid is likely appropriate.

When creating tables, ensure they are clean, well-labeled, and easy to read. Every table should have a clear title that explains its content. Column and row headers should be unambiguous. Use consistent formatting and avoid excessive gridlines. For figures (graphs, charts, images), clarity is paramount. Axes should be labeled with units, and legends should be easy to understand. The title of a figure should also be descriptive. Crucially, every table and figure must be referenced in the text. You should guide the reader to the visual aid and briefly highlight the key information it contains, without repeating all the data. For example, instead of saying 'Table 1 shows the mean scores for all groups,' you might write, 'As shown in Table 1, Group A reported significantly higher satisfaction scores (M = 4.5, SD = 0.8) compared to Group B (M = 3.2, SD = 1.1).' This approach integrates the visual data into your narrative.

Writing the Narrative: Connecting the Dots

The text accompanying your tables and figures is where you provide context and guide the reader. This narrative should be objective and factual. Avoid loaded language or emotional appeals. Focus on presenting the results clearly and concisely. Start each subsection by stating what you are presenting. For instance, 'This section presents the results of the independent samples t-test conducted to compare the mean scores of the control and experimental groups on the anxiety scale.' Then, present the relevant statistics. For quantitative research, this typically includes measures of central tendency (mean, median), measures of dispersion (standard deviation, range), and inferential statistics (t-values, F-values, p-values, confidence intervals). Report these values accurately, following the style guidelines of your field (e.g., APA, MLA, Chicago).

For qualitative research, the narrative will focus on themes, categories, and illustrative quotes. You might introduce a theme, explain its significance, and then provide direct quotes from participants to support your interpretation of the data. Ensure that quotes are properly attributed and integrated smoothly into your text. The key is to present the findings in a logical sequence that builds a coherent picture of what you discovered. Think about the flow from one finding to the next. Does it make sense? Is it easy for someone unfamiliar with your data to follow?

Have I clearly stated the purpose of each analysis or finding presented?
Are all tables and figures clearly labeled and referenced in the text?
Do my tables and figures present data in an easy-to-understand format?
Have I reported all relevant statistical information accurately?
Is the language objective and free of interpretation or bias?
Does the order of presentation logically address my research questions/hypotheses?
Have I used direct quotes effectively to illustrate qualitative findings (if applicable)?
Are my results consistent with the data I collected?

Common Pitfalls to Avoid

Even experienced researchers can stumble when writing their results. Being aware of common pitfalls can help you steer clear of them. One of the most frequent mistakes is including interpretation or discussion within the results chapter. Remember, this section is about what you found, not why it’s important or what it means in the broader context. Save that for the discussion chapter. Another issue is presenting too much raw data. Your results should be summarized and presented in a way that highlights the key findings, not just a data dump. Conversely, some students present too little data, making it difficult for readers to assess the validity of their conclusions.

Poorly formatted tables and figures can also hinder understanding. Ensure consistency in your reporting style, whether it's statistical notation or the way you present qualitative themes. Finally, failing to directly address your research questions or hypotheses is a critical error. Every finding presented should tie back to the initial objectives of your study. If you found something unexpected but significant, present it clearly and note its relevance, even if it wasn't a primary focus.

Example of Presenting a Quantitative Finding

Let's say you conducted a study comparing the effectiveness of two teaching methods (Method A and Method B) on student test scores. Your research question might be: 'Does Method A lead to significantly higher test scores than Method B?' Results Section Narrative: 'An independent samples t-test was conducted to compare test scores between students taught using Method A and Method B. The results indicated a statistically significant difference in scores, t(98) = 3.52, p < .001, with students in Method A scoring higher (M = 85.2, SD = 7.1) than those in Method B (M = 78.5, SD = 6.8). These findings suggest that Method A is more effective in improving student test scores within this sample.' Accompanying Table (Conceptual): Table 1 Mean Test Scores by Teaching Method | Method | N | Mean | Standard Deviation | |---|---|---|---| | A | 50 | 85.2 | 7.1 | | B | 50 | 78.5 | 6.8 | Note: t(98) = 3.52, p < .001. In this example, the text clearly states the analysis performed, reports the key statistics (t-value, degrees of freedom, p-value, means, standard deviations), and directly answers the research question. The table provides the precise numerical data that supports the narrative. Crucially, the interpretation ('suggest that Method A is more effective') is kept brief and directly tied to the reported findings, acting as a bridge to the discussion section without fully delving into interpretation.

Review and Refine

Once you have a draft of your results chapter, the work isn't over. Thorough review and revision are essential. Read through your chapter critically. Does it flow logically? Is the language clear and precise? Are there any grammatical errors or typos? Check that all your tables and figures are correctly formatted and referenced. Ensure that the statistics are reported accurately and consistently with your chosen style guide. It's often helpful to have a peer or colleague read your chapter. A fresh pair of eyes can catch errors or areas of confusion that you might have missed. Finally, schedule a meeting with your supervisor to discuss your draft. Their feedback is invaluable for ensuring your results chapter meets academic standards and effectively communicates your research findings.

FAQs

Should I interpret my results in the results chapter?

No, the results chapter is strictly for presenting your findings objectively. Interpretation, discussion of implications, and comparison with previous research belong in the discussion chapter.

How much detail should I include in my results?

Include enough detail for your reader to understand your findings and assess their validity. This means reporting key statistics, presenting relevant tables and figures, and providing clear narrative descriptions. Avoid overwhelming the reader with raw data or unnecessary minutiae.

What's the difference between a table and a figure?

Tables are best for presenting precise numerical data in rows and columns, allowing for easy comparison of specific values. Figures (like graphs, charts, or images) are better for illustrating trends, patterns, relationships, or comparisons that are more easily visualized than read from a table.

How do I handle unexpected or negative results?

Present unexpected or negative results with the same objectivity as positive ones. Clearly report what the data shows. Their significance and potential reasons can be explored in the discussion section.

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