This book provides full coverage of the wide range of multivariate topics that graduate students across the social and behavioral sciences encounter, using a conceptual, non-mathematical, approach. Addressing correlation, multiple regression, exploratory factor analysis, MANOVA, path analysis, and structural equation modeling, it is geared toward the needs, level of sophistication, and interest in multivariate methodology that serves students in applied programs in the social and behavioral sciences. Readers are encouraged to focus on design and interpretation rather than the intricacies of specific computations.
Easy to follow guide accompanied by clear explanations of the commonly used quantitative analyses like Factor Analysis, Cluster Analysis and Discriminant Function Analysis. Includes step by step guides on the use of SPSS as well as AMOS.