Applied Multiple Regression/Correlation Analysis for the Behavioral Sciences

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.