: Curvilinear relationships, interactions (moderation), mediation, and categorical independent variables.
: It focuses on a "verbal-conceptual" exposition, using data analytic approaches rather than heavy mathematical proofs.
The book is known for treating and analysis of variance (ANOVA) as a unified, flexible data-analytic system.
: Bivariate correlation, regression basics, and multiple regression with two or more independent variables.
: It provides concrete examples and worked illustrations to help researchers learn how to specify regression models that directly address their specific research questions. Key Contents (3rd Edition)
The text is organized into self-standing chapters to allow for easier reference. Notable topics include:
: Data visualization, exploration, and handling outliers or multicollinearity.