How to write a results section for a research paper is a common question among researchers. The guide answers that question with clear steps. It states what to report, how to order results, and how to pair text with visuals. The goal is to show findings so readers can judge the study. The guide uses plain language and short steps. It avoids vague advice and gives concrete examples.
Key Takeaways
- The results section should report findings clearly and in the same order as research questions, focusing only on relevant data without interpretation.
- Organize data around research questions or hypotheses with concise headline sentences stating support or lack thereof, followed by key statistics and confidence intervals.
- Include primary outcomes and relevant secondary outcomes with clear effect sizes, uncertainty measures, and exact statistical test details.
- Use consistent formatting for statistics, including decimal places and notation, and avoid selective reporting by presenting both significant and non-significant results.
- Pair text with well-labeled tables and figures that summarize key findings, placing visuals near text references and using captions that highlight the main messages.
- Write in plain, precise sentences with short, descriptive statistics first, followed by comparative results, avoiding causal language unless justified.
Purpose And Key Principles Of An Effective Results Section
The results section explains what the study found. It shows data and comparisons. It keeps interpretation brief and saves full interpretation for the discussion. Authors state findings in the same order as the research questions. Authors include only data that address those questions. Authors present clear numbers, effect sizes, and uncertainty measures. Authors use consistent units and decimal places. Authors label statistics and sample sizes. Authors avoid duplicate presentation of the same information in both text and tables. Authors use plain sentences so readers can follow the evidence.
Plan And Organize Your Results Before Writing
The writer plans results before writing. The writer lists key findings and links each to a question or hypothesis. The writer chooses the best format for each finding: text, table, or figure. The writer drafts brief captions that state the main point of each visual. The writer orders results to match the methods and analysis sections. The writer marks secondary or exploratory analyses for later placement. The writer checks that each reported result maps to a planned analysis. The writer removes redundant statistics that do not add value.
Organize Data Around Research Questions Or Hypotheses
The author groups results by question or hypothesis. The author starts each group with a short headline sentence. The headline sentence states whether the hypothesis was supported. The author follows the headline with key numbers and sample sizes. The author then adds brief comparisons and confidence intervals. The author avoids long background explanations in this section. The author uses parallel structure across groups for clarity. The author uses the same labels for variables as used in earlier sections. The author keeps the focus on the data that answer the question.
Decide Which Outcomes, Metrics, And Analyses To Include
The researcher selects primary outcomes first. The researcher reports secondary outcomes only when they inform the main question. The researcher reports effect sizes and their uncertainty. The researcher includes p-values but does not rely on them alone. The researcher reports the exact test used and any adjustments for multiple comparisons. The researcher states any missing data and how it was handled. The researcher excludes exploratory tests that lack preplanned status unless labeled clearly as exploratory. The researcher keeps the results focused and relevant to the study aims.
Write Clear Descriptive And Comparative Results
The writer reports descriptive statistics first. The writer gives means, medians, or proportions with sample sizes. The writer reports variability with standard deviations or interquartile ranges. The writer follows with comparative statistics that match the hypotheses. The writer states test names, test statistics, degrees of freedom, and exact p-values. The writer reports effect sizes and confidence intervals for comparisons. The writer uses plain sentences to explain what the numbers show. The writer avoids causal language when the study design does not support causation. The writer keeps sentences short and precise.
Report Statistical Findings Accurately And Consistently
The analyst reports statistics in a consistent format. The analyst uses the same decimal places across similar measures. The analyst uses consistent notation for p-values and confidence intervals. The analyst checks that table numbers match text numbers. The analyst provides model fit indices when relevant. The analyst provides regression coefficients with standard errors and confidence intervals. The analyst reports the direction and size of effects clearly. The analyst notes when results are non-significant and gives the exact values. The analyst avoids selective reporting and shows both expected and null findings.
Present Tables, Figures, And Visuals For Maximum Clarity
The author chooses visuals that make data easier to read. The author uses tables for many exact numbers and figures for patterns. The author gives each table and figure a concise caption that states the main message. The author labels axes and units clearly. The author highlights key comparisons in the figure or caption. The author places tables and figures near the first text reference when the journal allows it. The author cites the source of any derived or public data. The author keeps visuals simple and avoids clutter.