Reading and Understanding More Multivariate Statistics

by Laurence G. Grimm (Editor)

This follow up text to the editors' Reading and Understanding Multivariate Statistics applies the accessible approach of the previous work to a new group of multivariate techniques and to related topics in measurement. The text seeks to demystify the use of cluster analysis, Q-technique factor analysis, structural equation modeling, canonical correlation analysis, repeated measures analysis, and survival analysis. Research questions for which each analysis is most appropriate are described, and the underlying assumptions and rationale of the analysis, and the logic behind interpreting the results, are explained. Assumes an understanding of univariate statistics but no prior experience with multivariate statistics. Annotation c. Book News, Inc., Portland, OR (booknews.com)

Genres: Nonfiction

437 pages, Paperback

First published July 1, 2000

Reviews

[Stephanie Gardiner-Walsh · Rating 5 out of 5]

This book is less technical than a majority of multivariate books, but is written for ease of understanding. you will not spend hours reading math symbols, but minutes reading easily discernable text. there is also a "first book" to this authors multivariate set.

[Joy Williams · Rating 5 out of 5]

This book is less technical than a majority of multivariate books, but is written for ease of understanding. you will not spend hours reading math symbols, but minutes reading easily discernable text. there is also a "first book" to this authors multivariate set.