Resource Library
Analysing quantitative, qualitative, and mixed psychology research data.
Turn confusing statistics into clear, defensible results with this Psychology Dissertation T-Test Guide. Learn which test to use, avoid common mistakes, and interpret your findings through practical psychology examples so you can report your analysis accurately and explain it with confidence.
Plan a psychology dissertation logistic regression with outcome coding, sample-size reasoning, odds ratios, diagnostics and clear reporting.
A practical guide to psychology dissertation reliability analysis, covering omega, alpha, ICC, kappa, measurement error, diagnostics, and reporting.
A practical guide to psychology dissertation structural equation modelling, covering latent variables, fit, power, invariance, estimation, and reporting.
A practical guide to factor analysis in psychology dissertations, covering EFA, CFA, retention, rotation, item evaluation, model fit, and reporting.
A practical guide to normality testing in psychology dissertations, covering residuals, Q-Q plots, formal tests, robust alternatives, and reporting.
A practical guide to choosing, checking, and presenting descriptive statistics, distributions, denominators, tables, and plots in psychology research.
A practical guide to choosing, calculating, interpreting, and reporting effect sizes and confidence intervals in a psychology dissertation.
A practical guide to psychology dissertation moderation analysis, covering interaction models, power, probing, visualisation, software, and reporting.
A practical guide to psychology dissertation mediation analysis, covering theory, design, assumptions, indirect effects, software, and reporting.
