Applied Multivariate Research

Using a conceptual non-mathematical approach the updated <strong>Third Edition</strong> of <strong>Applied Multivariate Research: Design and Interpretation</strong> 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.