50 dissertation topics organised by statistical test, from independent and paired t-tests to one-way, factorial, repeated-measures and mixed ANOVA, ANCOVA, MANOVA, post-hoc comparisons and Welch tests.
Choosing between t-tests and ANOVA depends on the number of groups, whether observations are independent, how often each person is measured and whether covariates or multiple outcomes matter. Many dissertation errors arise from repeated unadjusted tests, missing post-hoc comparisons or unchecked variance assumptions.
Each question has a proposed design, a starting statistical test, a dataset and a related university thesis. The thesis is a research example rather than a guarantee that it uses the identical test or dataset. Check the codebook, measurement scale and sample structure before selecting a dissertation topic.
Data and method note: NHANES daytime-sleepiness responses can be ordinal; a t-test needs a defensible approximately continuous score. Consider a validated scale or an ordinal model if only categories are available.
Data and method note: BRFSS uses a complex sample design. Weighted means and their group differences require survey-design-aware variance estimation, not a conventional unweighted t-test.
Data and method note: ECLS-K public-use and restricted-use versions differ. Check the required teacher-rated variables and permissions before finalising the question.
Data and method note: PISA estimates should account for student weights, replicate weights and plausible values. A conventional one-way ANOVA is only a classroom demonstration, not a fully design-correct population estimate.
Data and method note: Penguin species distribution differs by island; a simple island ANOVA may reflect species composition. Check species stratification or consider an adjusted model.
Data and method note: The exact family-support question is not included in every European Social Survey round. Select an eligible module and check country coverage first.
Data and method note: PISA’s complex survey design and plausible values require special treatment. A simple factorial ANOVA should be described as an introductory approximation.
Data and method note: Student Performance G1, G2 and G3 are grades from school periods. They can be analysed as repeated observations, but grades are also mechanically related, so interpret the trend accordingly.
Data and method note: ECLS-K scale scores should be verified for comparability across years. Longitudinal mixed models are often preferable if follow-up is incomplete.
Data and method note: Do not assume parental-divorce indicators are present in the DASS survey export. Inspect the specific raw-data codebook before selecting this topic.
Data and method note: Body mass, bill dimensions and flipper length may be strongly correlated, so MANOVA findings need careful multivariate interpretation.
Data and method note: BRFSS is a weighted, stratified survey. Welch ANOVA alone does not fully account for its sampling design; specify a design-adjusted alternative for nationally representative inference.
Data and method note: NHANES includes cognition measures in selected older-adult survey cycles and sleep-duration data. Restrict the analysis to compatible cycles and age groups; the related ADHD thesis is methodological background, not a direct topical match.
Item-level answers on the Big Five, DASS and other scales with age, gender and education. Use it for MANOVA and group comparisons of psychological scores.
Grades for three terms of Portuguese secondary students with family, study and school data. Use it for paired, repeated measures and one-way ANOVA practice.
Use an independent-samples t-test for comparing two independent group means, or a paired t-test for the same participants measured twice. ANOVA extends group comparisons to three or more levels, factorial designs or repeated measurements.
What is the difference between a paired and an independent t-test?
A paired t-test compares two measurements from the same participants or matched pairs. An independent t-test compares outcomes from two separate groups.
What are the assumptions of ANOVA?
A conventional ANOVA assumes independent observations, approximately normal model residuals and suitable variance homogeneity. The assumptions vary by design; repeated-measures ANOVA may also require sphericity.
Which post-hoc test should I use?
Tukey HSD is commonly used after equal-variance one-way ANOVA. Games-Howell is appropriate for many unequal-variance or unequal-size settings. Planned contrasts may require other adjustments.
Which software is best for ANOVA and t-tests?
SPSS offers accessible menus for common tests. R, Stata, JASP and jamovi also support a wide range of t-tests, ANOVA variants, covariate adjustments and diagnostics.
Is there an ANOVA and t-test topics PDF?
A printable Topic and Test list is being prepared. All 50 topics, their proposed tests and dataset links are currently available on this page.
