Questionnaire studies of how one thing affects another, often with a mediator or moderator.
- PLS-SEM with mediation and moderation (SmartPLS-style)
- Reliability, validity, HTMT
- Regression, t-test, ANOVA for demographics
User acceptance of a system (TAM, UTAUT), usability testing (SUS), comparing two designs or two algorithms.
- TAM, UTAUT and SUS questionnaires ready-made, with SUS score
- PLS-SEM for acceptance models
- Paired t-test or Wilcoxon for before/after; Mann–Whitney for two designs
Secondary data from annual reports, World Bank or SBP: firm-years or country-years.
- Panel regression: pooled, fixed and random effects, Hausman test
- OLS, logit and probit, unit root tests
- Stata .do file your supervisor can rerun
Pre-test and post-test experiments, comparing teaching methods, teacher and student attitude surveys.
- Paired t-test or Wilcoxon signed-rank (pre vs post)
- Independent t-test or Mann–Whitney (two methods)
- One-way ANOVA with Tukey, or Kruskal–Wallis (3+ groups)
See an example write-up
A Wilcoxon signed-rank test showed that scores were significantly higher for the post-test (Mdn = 62.50) than for the pre-test (Mdn = 52.00), z = −5.99, p < .001, r = .77 (large effect).
From the synthetic example dataset. Your own numbers will differ.
Scales of stress, anxiety, wellbeing or personality, compared across groups or related to each other.
- Correlation and regression between scales
- Kruskal–Wallis with Dunn post hoc when scores are not normal
- t-test, ANOVA and two-way ANOVA (for example gender × year)
See an example write-up
A Kruskal–Wallis test showed a significant difference in stress across years of study, H(3) = 25.63, p < .001, η²H = .263. Dunn’s post hoc tests (Bonferroni adjusted) showed that first-year students differed from third-year (adjusted p = .029) and fourth-year students (adjusted p < .001).
From the synthetic example dataset. Your own numbers will differ.
Community surveys with categories (urban/rural, education level, opinion), plus interviews.
- Chi-square test of independence with Cramér’s V
- Thematic analysis of interviews (codes, themes, quotes)
- Mann–Whitney and Kruskal–Wallis for Likert items
See an example write-up
A chi-square test of independence showed a significant association between area and opinion on women’s education, χ²(2, N = 150) = 15.44, p < .001, V = .321.
From the synthetic example dataset. Your own numbers will differ.
Field and lab experiments: treatments, doses, varieties, and whether two factors work together.
- Two-way ANOVA (for example fertilizer × watering) with interaction plot
- One-way ANOVA with Tukey HSD post hoc and bar chart
- Correlation and regression (for example dose and growth)
See an example write-up
A two-way ANOVA showed significant main effects of fertilizer, F(2, 42) = 24.73, p < .001, partial η² = .541, and watering, F(1, 42) = 46.04, p < .001, partial η² = .523, and a significant fertilizer × watering interaction, F(2, 42) = 12.86, p < .001, partial η² = .380.
From the synthetic example dataset. Your own numbers will differ.
Knowledge-attitude-practice (KAP) surveys, patient outcomes before and after an intervention.
- Chi-square for knowledge level by group
- Paired t-test or Wilcoxon for before/after care
- Mann–Whitney or t-test between two wards or groups
Applied projects that need a quick, checked result: tests, regression, and their assumptions.
- Every test checked against SciPy, statsmodels and Stata
- Normality (Shapiro–Wilk), Levene, Welch corrections
- Regression diagnostics, panel models, unit root tests
Lab readings, repeated measurements, and comparing samples or sites.
- Correlation and linear regression between measurements
- t-test or ANOVA to compare samples or sites
- Mann–Whitney or Kruskal–Wallis for small samples
Learner attitude surveys, teaching experiments, and interviews with teachers or students.
- Pre/post tests of a teaching method (paired t-test or Wilcoxon)
- Attitude surveys compared by gender or level
- Thematic analysis of interviews
Surveys of religious practice or awareness, and interviews with scholars or students.
- Chi-square and Mann–Whitney for survey answers
- Thematic analysis of interviews and open answers
- Descriptive tables (frequencies, means) for the results chapter
Opinion surveys, media use surveys, and interviews with experts.
- Chi-square for opinion by group
- Regression and PLS-SEM for media effects models
- Thematic analysis of expert interviews
Which test do I need?
Start from your question. If your scores are not normal (Shapiro–Wilk p < .05 in the Descriptives table) or a group has fewer than about 15 people, use the rank-based test in the third column.
| Your question | Scores roughly normal | Not normal, ranks or small groups |
| Do two groups differ? (male vs female, method A vs B) | Independent-samples t-test | Mann–Whitney U test |
| Did the same people change? (pre-test vs post-test) | Paired-samples t-test | Wilcoxon signed-rank test |
| Do three or more groups differ? | One-way ANOVA with Tukey post hoc | Kruskal–Wallis with Dunn post hoc |
| Do two factors and their interaction matter? (fertilizer × water) | Two-way ANOVA | Run Kruskal–Wallis for each factor separately |
| Are two category variables related? (area and opinion) | Chi-square test of independence |
| Do two scores move together? | Pearson correlation | Treat with caution; report Pearson with the normality check |
| Which factors predict an outcome? | Multiple regression | PLS-SEM (does not assume normality) |
| Does X affect Y through M, or does Z change the effect? | PLS-SEM with mediation and moderation |
| Firm-year or country-year data? | Secondary Data: panel regression with Hausman test |
| Interviews or open answers? | Qualitative: codes, themes and quotes |
All of these are in Data Analysis → Other tests, except panel data (Secondary Data) and interviews (Qualitative). Each gives an APA table, a chart and a draft sentence you can check and rewrite in your own words.
Starting with the literature review? Top Cited Papers finds the 50 most-cited papers of the last five years on your topic, in any department.