Reading and Understanding Multivariate Statistics.

Paperback small quarto, very good condition, figures, tables, bottom edge little rubbed, pages faintly toned, minor edgewear. 373 pp. This book, edited by Laurence G. Grim and Paul R. Yarnold, is the first book in a series of 2 that presents fundamental conceptual aspects of typical multivariate techniques and measurement topics, and explains these procedures in simple, intuitive terms, using as few equations as possible. The author of each chapter provides example applications of each statistical analysis, the underlying assumptions and mechanics of the analysis, and a discussion of an interesting working example. Each chapter includes a glossary of terms and symbols that provides a quick way to access succinct definitions of fundamental concepts discussed in the text. Chapters include multiple regression, path analysis factor analysis, multidimensional scaling, MANOVA, discriminant analysis and understanding meta-analysis. For graduate students, this book may be a useful companion to the many standard texts that teach the students to perform multivariate analyses in statistics courses as preparation for doing their own research.…