Find your department.

Pick your subject to see which SajResearch tool and which tests fit the research done there, with example data you can try in one click.

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Business, Management & Commerce

MBA, BBA, MS Management, HRM, Marketing

Questionnaire studies of how one thing affects another, often with a mediator or moderator.

PLS-SEMData Entry
  • PLS-SEM with mediation and moderation (SmartPLS-style)
  • Reliability, validity, HTMT
  • Regression, t-test, ANOVA for demographics
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Computer Science, IT & Software Engineering

BS/MS CS, IT, SE, Information Systems

User acceptance of a system (TAM, UTAUT), usability testing (SUS), comparing two designs or two algorithms.

Data Entry (TAM, UTAUT, SUS)PLS-SEMOther tests
  • 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
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Economics, Finance & Accounting

BS/MS Economics, Finance, Accounting

Secondary data from annual reports, World Bank or SBP: firm-years or country-years.

Secondary Data
  • Panel regression: pooled, fixed and random effects, Hausman test
  • OLS, logit and probit, unit root tests
  • Stata .do file your supervisor can rerun
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Education & Teacher Training

B.Ed, M.Ed, MPhil/PhD Education

Pre-test and post-test experiments, comparing teaching methods, teacher and student attitude surveys.

Other testsData Entry
  • 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.

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Psychology & Counselling

BS/MS Psychology, Applied Psychology

Scales of stress, anxiety, wellbeing or personality, compared across groups or related to each other.

Other testsData EntryPLS-SEM
  • 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.

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Sociology, Social Work & Gender Studies

BS/MS Sociology, Social Work, Gender Studies

Community surveys with categories (urban/rural, education level, opinion), plus interviews.

Other testsQualitativeData Entry
  • 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.

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Biology, Botany, Zoology & Agriculture

BS/MS Biology, Botany, Zoology, Agriculture

Field and lab experiments: treatments, doses, varieties, and whether two factors work together.

Other tests
  • 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.

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Nursing, Public Health & Allied Health

BSN, MPH, DPT, Pharm-D, Nutrition

Knowledge-attitude-practice (KAP) surveys, patient outcomes before and after an intervention.

Data EntryOther tests
  • 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
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Statistics & Mathematics

BS/MS Statistics, Mathematics

Applied projects that need a quick, checked result: tests, regression, and their assumptions.

Other testsSecondary Data
  • Every test checked against SciPy, statsmodels and Stata
  • Normality (Shapiro–Wilk), Levene, Welch corrections
  • Regression diagnostics, panel models, unit root tests
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Physics, Chemistry & Environmental Science

BS/MS Physics, Chemistry, Environmental Science

Lab readings, repeated measurements, and comparing samples or sites.

Other tests
  • Correlation and linear regression between measurements
  • t-test or ANOVA to compare samples or sites
  • Mann–Whitney or Kruskal–Wallis for small samples
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English, Linguistics & Languages Text tools coming

BS/MS English, Linguistics, Urdu

Learner attitude surveys, teaching experiments, and interviews with teachers or students.

Data EntryOther testsQualitative
  • Pre/post tests of a teaching method (paired t-test or Wilcoxon)
  • Attitude surveys compared by gender or level
  • Thematic analysis of interviews
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Islamic Studies (Islamiat) & Religious Studies Text tools coming

BS/MS Islamic Studies, Arabic

Surveys of religious practice or awareness, and interviews with scholars or students.

Data EntryQualitativeOther tests
  • Chi-square and Mann–Whitney for survey answers
  • Thematic analysis of interviews and open answers
  • Descriptive tables (frequencies, means) for the results chapter
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Political Science, IR & Mass Communication

BS/MS Political Science, IR, Media Studies

Opinion surveys, media use surveys, and interviews with experts.

Data EntryOther testsQualitative
  • Chi-square for opinion by group
  • Regression and PLS-SEM for media effects models
  • Thematic analysis of expert interviews

No department matched. Try a shorter word, or email us your department and topic and we will tell you which test to use.

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 questionScores roughly normalNot normal, ranks or small groups
Do two groups differ? (male vs female, method A vs B)Independent-samples t-testMann–Whitney U test
Did the same people change? (pre-test vs post-test)Paired-samples t-testWilcoxon signed-rank test
Do three or more groups differ?One-way ANOVA with Tukey post hocKruskal–Wallis with Dunn post hoc
Do two factors and their interaction matter? (fertilizer × water)Two-way ANOVARun 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 correlationTreat with caution; report Pearson with the normality check
Which factors predict an outcome?Multiple regressionPLS-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.

Not sure where to start?

Read the step-by-step guide, or open the tool and try an example dataset.

How to use →

Knowledge is that which liberates.