Revised edition of the author's Multiple regression and beyond, 2015.

Multiple regression -- Simple bivariate regression -- Multiple regression : introduction -- Multiple regression : more detail -- Three and more independent variables and related issues -- Three types of multiple regression -- Analysis of categorical variables -- Regression with categorical and continuous variables -- Testing for interactions and curves with continuous variables -- Mediation, moderation, and common cause -- Multiple regression: summary, assumptions, diagnostics, power, and problems -- Related methods : logistic regression and multilevel modeling -- Beyond multiple regression : structural equation modeling -- Path modeling : structural equation modeling with measured variables -- Path analysis : assumptions and dangers -- Analyzing path models using sem programs -- Error: the scourge of research -- Confirmatory factor analysis I: -- Putting it all together: introduction to latent variable sem -- Latent variable models II: multigroup models, panel models, dangers & assumptions -- Latent means in SEM -- Confirmatory factor analysis II: invariance and latent means -- Latent growth models -- Latent variable interactions and multilevel models in SEM -- Summary: path analysis, cfa, sem, mean structures, and latent growth models -- Appendices.