Regression Tests and Models

Interaction effects and conditional slopes Moderated Regression: Formula, Interpretation, SPSS, Python, R and Excel Guide Moderated Regression tests whether the relationship between a focal predictor and…

Conditional indirect effects across studytime Moderated Mediation: Formula, Interpretation, SPSS, Python, R and Excel Guide Moderated Mediation asks whether an indirect pathway changes across levels of…

Repeated grades, student clustering and random intercepts Mixed Effects Regression: Formula, Interpretation, SPSS, Python, R and Excel Guide Mixed Effects Regression is used when observations are…

Binary outcome, probability and odds Logistic Regression: Formula, Interpretation, SPSS, Python, R and Excel Guide Logistic Regression estimates the probability of a binary event by modelling…

Direct, indirect and total effects with bootstrap inference Mediated Regression: Formula, Interpretation, SPSS, Python, R and Excel Guide Mediated Regression tests whether the association between an…

L1 shrinkage, cross-validation and sparse prediction Lasso Regression: Formula, Interpretation, Python, R, SPSS and Excel Guide Lasso Regression combines linear prediction with an L1 penalty that…

Theory-driven blocks, incremental variance and F-change tests Hierarchical Regression: Formula, Interpretation, SPSS, Python, R and Excel Guide Hierarchical Regression tests whether theoretically ordered predictor blocks explain…

Two processes, one count outcome Hurdle Model: Formula, Interpretation, SPSS, Python, R and Excel Guide A Hurdle Model separates the question “Is the count zero or…

Theoretically Ordered Predictor Blocks, Incremental Variance and F-Change Testing Hierarchical Regression: Interpretation, SPSS, Python, R and Excel Guide Hierarchical Regression enters predictors in a theory-driven order…

Gaussian, Binomial and Poisson Regression in One Unified Framework Generalized Linear Model: Formula, Interpretation, SPSS, Python, R and Excel Guide Generalized Linear Models connect an outcome…