How to Write a Results Section in Research Papers

The results section is where you present your research findings objectively and clearly. This section reports what you found without interpretation or speculation. Writing an effective results section requires careful organization, clear presentation of data, and proper statistical reporting. Your results section should allow readers to understand your findings at a glance.

Understanding the Results Section

The results section presents empirical findings in a factual, objective manner. Unlike the discussion section, which explains what findings mean, the results section simply reports what happened in your study.

Core Principles

1. Objectivity - Report findings without editorializing
2. Clarity - Present data in the clearest possible format
3. Completeness - Include all relevant findings
4. Conciseness - Avoid unnecessary repetition or detail
5. Organization - Arrange findings logically

Organizing Your Results

Chronological Organization

Present results in the order you conducted analyses:

“First, we examined demographic characteristics. Next, we conducted preliminary analyses to assess assumptions. Finally, we performed the primary statistical tests.”

Logical Organization

Group related findings together:

“Descriptive statistics for the sample are presented first, followed by findings related to hypothesis one, then hypothesis two, and finally exploratory analyses.”

Hypothesis-Based Organization

Structure results around your research questions:

“The primary hypothesis predicted X would improve with treatment. Data supported this hypothesis (t = 2.45, p < .05). The secondary hypothesis predicted Y would remain unchanged. This hypothesis was not supported (t = 0.82, p = .42).”

Reporting Descriptive Statistics

Sample Characteristics

Begin with basic information about your sample:

“Participants were 124 undergraduate students (M age = 20.4 years, SD = 1.8 years). The sample was 62% female and 38% male. Regarding race/ethnicity, 58% identified as White, 22% as Asian, 12% as Black, and 8% as Multiracial.”

Outcome Variables

Report central tendency and variability:

“On the baseline anxiety measure, the treatment group (M = 42.3, SD = 8.7) did not differ significantly from the control group (M = 43.1, SD = 9.2), t(122) = 0.54, p = .59.”

Use of Tables

Present complex data in tables:

Group	N	M	SD	Range
Treatment	62	42.3	8.7	21-58
Control	62	43.1	9.2	19-62

Then reference in text: “As shown in Table 1, baseline group equivalence was confirmed.”

Reporting Inferential Statistics

Basic Format for Statistical Tests

Include the test statistic, degrees of freedom, p-value, and effect size:

“The treatment group showed significantly greater improvement than the control group, t(122) = 3.24, p = .001, Cohen’s d = 0.58.”

Important Elements

• Test statistic - The value of the test (t, F, χ², etc.)
• Degrees of freedom - In parentheses after the test statistic
• p-value - Probability of results under null hypothesis
• Effect size - Practical significance of the finding

Reporting p-values

Use exact p-values when possible:

“p = .012” (not “p < .05”)

Exception: “p < .001” when the value is extremely small

Effect Sizes

Always include effect sizes to show practical significance:

• Cohen’s d for t-tests (0.2 = small, 0.5 = medium, 0.8 = large)
• η² for ANOVAs
• r for correlations

Example: “The treatment was effective, F(1, 120) = 8.34, p = .004, η² = 0.07, indicating a small to medium effect.”

Presenting Complex Analyses

Multiple Comparisons

Report multiple related tests clearly:

“Post-hoc comparisons using Tukey’s HSD test revealed significant differences between groups A and B (p = .003) and between groups A and C (p = .015), but not between groups B and C (p = .18).”

Regression Analysis

Present coefficients with confidence intervals:

“In the regression model, depression scores predicted insomnia severity (β = 0.42, 95% CI [0.28, 0.56], t = 5.87, p < .001), after controlling for age and sex.”

Correlations

Report correlation matrices when analyzing multiple relationships:

“Table 2 presents intercorrelations among all study variables. Depression was significantly correlated with anxiety (r = .56, p < .001) and sleep problems (r = .48, p < .001).”

Using Tables and Figures

When to Use Tables

Use tables to present:

• Descriptive statistics for multiple variables
• Correlation matrices
• Detailed results from complex analyses
• Comparisons across groups

When to Use Figures

Use figures to present:

• Trends over time (line graphs)
• Group comparisons (bar charts)
• Distributions (histograms)
• Relationships (scatter plots)

Referencing Tables and Figures

Always reference tables and figures in text:

“As shown in Figure 2, the treatment group demonstrated consistent improvement across all assessment points, whereas the control group remained relatively stable.”

Common Mistakes in Results Sections

Including Interpretation

Incorrect: “The significant difference indicates that the treatment was highly effective.”

Correct: “Treatment and control groups differed significantly on the outcome measure, t(122) = 3.24, p = .001.”

Omitting Important Details

Incomplete: “Depression scores were higher in group A.”

Complete: “Group A (M = 32.4, SD = 7.8) had higher depression scores than group B (M = 26.7, SD = 8.2), t(98) = 3.12, p = .002.”

Repeating Table Information Verbatim

Don’t simply read data from tables. Highlight key findings:

Poor: “Table 1 shows that group A had a mean of 45.3 with SD of 8.9, group B had a mean of 42.1 with SD of 9.4.”

Better: “The groups did not differ significantly on baseline measures, t(98) = 1.42, p = .16 (see Table 1).”

Inconsistent Statistical Reporting

Be consistent in how you report statistics throughout:

Inconsistent: “p = .032” and “p < .05” and “p = .08”

Consistent: Use exact p-values throughout: “p = .032,” “p = .001,” “p = .08”

Results Section Checklist

Before finalizing your results section, verify:

• ✓ All major findings are reported
• ✓ Statistics are reported in standard format (test, df, value, p, effect size)
• ✓ Descriptive statistics precede inferential statistics
• ✓ Tables and figures are clearly labeled and referenced
• ✓ No interpretation or discussion of findings
• ✓ Numerical precision is appropriate
• ✓ Effect sizes are included for all main tests
• ✓ p-values are reported accurately
• ✓ Results are organized logically
• ✓ Tone is objective and factual

Using GenText for Results Writing

GenText’s tools help you:

• Format statistics correctly for your discipline
• Create clear tables that present data effectively
• Organize findings logically and comprehensively
• Ensure consistency in how you report results throughout
• Polish language while maintaining objectivity

Conclusion

A well-written results section presents your findings clearly and completely, allowing readers to understand what you found. By organizing results logically, reporting statistics accurately, and using tables and figures effectively, you create a solid foundation for the discussion section where you’ll explain what your findings mean. Clear, objective results reporting is essential for scientific credibility and reader comprehension.