Guides to correlation, multiple and logistic regression, mediation and moderation analysis: how to run them, read the output and report the results.
Why Baron and Kenny's steps are outdated, how bootstrapped indirect effects work, how to classify mediation, and how to report a simple, parallel or serial mediation model.
How to test whether an effect depends on a third variable, from building the interaction term to probing simple slopes, the Johnson-Neyman region and an APA write-up.
A line-by-line guide to multiple regression output, from R² and the F-test to unstandardized and standardized coefficients, multicollinearity checks and an APA results paragraph.
A plain-language guide to binary logistic regression, covering odds vs probability, what an odds ratio of 1.12 or 0.55 really means, model fit statistics and how to report the results.