Since the publication of the first edition, multiple regression is increasingly used in the social and behavioral sciences. In this new edition, the material is not substantially changedaside from a down-playing of the use of analysis of variance, increased emphasis on graphical representation, and a moving away from reliance on correlational statistics. Chapters cover bivariate and multiple correlation and regression;data visualization; data analytic strategies; quantitative scales, curvilinear relationships, and transformations; continuous, nominal independent, and categorical variables; outliers and multicollinearity; missing data; causal models;alternative regression models; set correlation with multiple dependent values.