Results and Discussion

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The results and discussion sections form the core of your research contribution—where your data speaks and you interpret what it says. The results section presents findings objectively, while the discussion section interprets their meaning, connects them to existing knowledge, and explores their implications. Together, they transform raw data into meaningful knowledge.

The Results Section

Purpose

Present what you found—clearly, objectively, and organized by research question. No interpretation, no opinion, no connection to literature. Just the facts.

Organization Strategy

Structure your results by research question or hypothesis, not by statistical test:

Poor organization: "First, descriptive statistics are presented. Then t-tests. Then correlations. Then regression." Good organization: "Results for Research Question 1 (relationship between X and Y). Results for Research Question 2 (group differences). Results for Research Question 3 (predictive model)."

What to Include

Preliminary analyses:

Response rate and sample demographics
Data screening (missing data, outliers, normality)
Reliability coefficients for scales used
Descriptive statistics table (means, SDs for all variables)

Main analyses for each research question:

Statistical test used and why
Assumption checks (homogeneity of variance, normality)
Test statistics, degrees of freedom, p-values
Effect sizes and confidence intervals
Whether hypotheses were supported or not

Presenting Quantitative Results

In text: "An independent-samples t-test revealed a significant difference in satisfaction between remote workers (M = 4.12, SD = 0.78) and office workers (M = 3.64, SD = 0.91), t(298) = 4.85, p < .001, d = 0.56."

In tables: Use for complex data that would be cumbersome in text.

In figures: Use for visualizing patterns, relationships, or comparisons.

Rule: Present the same data once—in text OR table OR figure, not multiple formats simultaneously.

Presenting Qualitative Findings

Organize by themes: Present each major theme with:

Theme name and definition
Prevalence (how many participants mentioned it)
Representative quotations (2-3 per theme)
Sub-themes if applicable
Relationships between themes

Example: "Theme 3: Loss of Informal Learning (mentioned by 18 of 25 participants) Remote workers consistently reported missing the informal knowledge exchange that occurs naturally in office settings.

As Participant 7 explained: 'You learn so much just by overhearing conversations, asking quick questions at someone's desk. That's completely gone now.'

This theme connected to Theme 1 (isolation) in that the absence of informal learning opportunities contributed to feelings of professional disconnection."

The Discussion Section

Purpose

Interpret your findings—what do they mean? Why did you get these results? How do they connect to existing knowledge? What are the implications?

Structure

1. Summary of Key Findings (1 paragraph) Begin by restating your main results without statistical detail.

"The primary finding of this study is that remote work options significantly predict retention intention among IT professionals, operating through job satisfaction as a mediating mechanism. Flexible scheduling also contributed to retention, while compressed work weeks showed no significant effect."

2. Interpretation by Research Question For each major finding, discuss:

Does this align with or contradict previous research?
What theoretical explanation accounts for this finding?
Why might this result have occurred?

Example: "The strong effect of remote work on retention (β = .41) aligns with recent findings by Kumar et al. (2023) in the Indian context and extends earlier Western studies (Allen et al., 2015). This can be understood through Job Demands-Resources theory: remote work functions as a resource that reduces the demand of commuting—particularly relevant in Indian metro cities where average commute times exceed 45 minutes—thereby improving the demand-resource balance and increasing satisfaction."

3. Unexpected or Non-Significant Findings Do not ignore these—they are often the most interesting results.

"Contrary to expectations, compressed work weeks showed no significant effect on either satisfaction or retention (β = .08, p = .12). This may reflect the limited adoption of compressed schedules in Indian IT culture, where client time-zone alignment requires availability across traditional weekdays. Alternatively, the benefits of fewer workdays may be offset by the stress of longer daily hours."

4. Theoretical Implications What does your study contribute to theory?

"These findings extend JD-R theory by demonstrating that not all flexibility types function equivalently as resources. The differential effects suggest a need for more fine-grained theoretical treatment of workplace resources—treating 'flexibility' as a single construct may obscure important variations in how different flexibility types buffer demands."

5. Practical Implications Who can use these findings and how?

6. Limitations Acknowledge 3-5 genuine limitations and explain how they might affect interpretation.

Cross-sectional design (cannot establish causation)
Self-report measures (common method bias)
Single city sample (generalizability)
Voluntary participation (possible self-selection bias)

For each limitation, briefly note how future research could address it.

7. Future Research Directions Suggest 3-5 specific studies that would extend your work.