Applied Multivariate Research: Design and Interpretation

Using a conceptual, non-mathematical approach, the updated Third Edition of Applied Multivariate Research: Design and Interpretation provides full coverage of the wide range of multivariate topics that graduate students across the social and behavioral sciences encounter. Authors Lawrence S. Meyers, Glenn Gamst, and A. J. Guarino integrate innovative multicultural topics in examples throughout the book, which include both conceptual and practical coverage of: statistical techniques of data screening
multiple regression
multilevel modeling
exploratory factor analysis
discriminant analysis
structural equation modeling
structural equation modeling invariance
survival analysis
multidimensional scaling
and cluster analysis.