Your dissertation requires a solid results section to be among its essential components. In quantitative research, the result section becomes the central component because it shows all the quantitative analysis and data collection work through statistical dissertation results. In the dissertation result section researchers display research findings that create foundations for interpretation and data analysis as well as the drawing of conclusions.
Effectual writing in the results section needs clear organisation and deep knowledge about your study outcomes. Writing this section seems straightforward because it requires data reporting, yet many researchers fall into different errors, which include result over analysis alongside presentation of pointless data while lacking smooth transitions between segments. We will show you an effective approach for writing your dissertation results section with practical demonstration examples and valuable guidance.
Understanding the Purpose of the Dissertation Result Section
The result part of dissertation work shows findings as organized data without explanation. The result section of quantitative research presents statistical findings along with descriptive statistics along with inferential statistics including t-tests and ANOVA and regression analysis. The data presentation includes tables and figures which show both significant and non-significant findings through direct statements. The discussion section contains all explanations regarding the results.
Structuring the Dissertation Result Section
The result section of a dissertation shows proper organisation through a specific structure design. Quantitative research normally follows this specific sequence for its results presentation:
1. Overview of the Section
In the introductory paragraph refrain from discussing what awaits the reader since this information should be defined in the following context. The section introduction restates important research questions or hypotheses before demonstrating the results organization.
Example:
The following section shows analysis results which address Chapter 1 research questions by the established research methodology. The research findings are arranged by hypothesis using descriptive and inferential statistical methods.
2. Descriptive Statistics
You need to explain the characteristics of your experimental subjects with all essential study components included. The analysis includes population demographics about age and gender distribution, and central tendency data represented by mean scores and standard deviation with their ranges.
Example:
Research data was collected from 150 participants whom 58% belonged to the female population. The participants averaged 26.4 years old (Standard Deviation = 5.3). Table 1 summarises the demographic characteristics.”
All tables, along with figures, need to obtain sequential numerical orders and use proper visual labels. Display each graphic element only after the text makes the needed reference to it.
3. Inferential Statistics
Provide the findings of hypothesis tests together with statistical breakdowns. Within this section the researcher presents information regarding the applied statistical tests (e.g. t-test and ANOVA and correlation), along with their associated results (e.g. test statistics and p-values) while recognising statistical significance.
Example:
The results of a Pearson correlation analysis demonstrated that academic motivation has a positive significance for GPA (r = .42, p < .01).
The current chapter ends by showing the results instead of interpretations, which will receive detailed analysis in the following chapter. The outcome should only include the impact on the hypothesis or the research question.
4. Presenting Tables and Figures
Visual presentation in the quantitative dissertation result section needs to be an essential component. Complicated information becomes easier to understand because of these elements. Each displayed table and figure should meet the following criteria:
Numbered (e.g., Table 2, Figure 3)
Given a descriptive title
They appear with a proper explanation throughout the main text.
The section ends with a short summary along with pertinent statements.
The content found in tables should not appear word-for-word in the text sections. Instead, highlight key findings.
Best Practices for Writing the Results Section
1: Be Objective and Neutral
Every statement within the results segment needs to maintain absolute objectivity. Though shall stay away from introducing your personal assessments along with interpretation or speculative points. The section presents the data findings without trying to explain them.
2: Use Clear and Consistent Language
The text should contain formal language specialized for quantitative investigations. Introduce definitions for statistical elements together with their abbreviations during their initial usage. Coherent naming standards should be applied to variables and measures throughout the text.
3: Follow a Logical Flow
Show your study results according to the sequence of your hypothetical statements and research queries. Readers remain oriented through this approach as it strengthens the methodological connections between variables and their resulting outcomes.
4: Report All Results
A researcher needs to present all study results regardless of statistical significance levels. Your research validity may become compromised when you drop study results that fail to reach statistical significance.
5: Don’t Overwhelm the Reader
The report should focus on results of utmost importance. Large amounts of data should be included in appendix sections together with supplementary tables and figures. The principal data should maintain its directness together with simplicity and logical flow to help readers understand it.
Common Mistakes to Avoid
A considerable number of dissertation writers experience struggle during their quest to prepare the quantitative result section. Students should prevent these errors when composing their dissertation result sections for quantitative research:
1. Interpreting Results in the Results Section
The discussion chapter should contain the interpretation elements. The results section requires the researchers to present raw information only.
2. Using Vague Language
Subjective statements using “a little better” or “somewhat higher” lack quantified value in the research. The section should present numerical data rather than subjective wording.
3. Repeating Data
The research report should present duplicate data points whether in the written text or the displayed tables. Your discussion about important findings should stand independently from the presented visual displays.
4. Omitting Negative or Null Results
All outcomes should be reported. A no detected outcome represents equal importance to the discovery of significant results.
5. Poor Visual Presentation
The data presentation must use clear tables with proper formatting in an ideal placement. Disordered visual displays reduce the effectiveness of your research outcomes.
Final Tips for Writing a Strong Result Section
The successful approach to creating a dissertation result section requires disciplined organisation, together with straightforward formatting and transparent descriptions. The data collection domain should be strictly maintained, as you let the gathered information speak for itself. Write your content for an audience with no topic background to convey both the tested conditions and identified findings.
Recheck your work many times while seeking additional feedback from both peers and your supervisor regarding your tables, along with their figures and explanations. Consult your research questions to decide whether the result provides relevant answers. If it does, keep it. The data should remain in the main text unless you decide otherwise.
CONCLUSION
The presentation of numerical data in the dissertation result section turns into an essential platform for both the discussion and conclusion chapters of quantitative research studies. A consolidated results section indicates your skill in delivering statistical evidence in an orderly and unbiased manner.
Your findings’ structure together with right statistical techniques and visual presentations and avoidance of common mistakes will lead to strong academic result sections which elevate your dissertation’s impact. Your research value becomes evident to readers through precise presentation of results which demonstrates both clarity and strict attention to details.
