A Primer of Multivariate Statistics Contributor(s): Harris, Richard J. (Author) |
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ISBN: 0805832106 ISBN-13: 9780805832105 Publisher: Psychology Press
Binding Type: Hardcover - See All Available Formats & Editions Published: May 2001 Annotation: This text is intended to give students a thorough grounding in multivariate stats, including multiple regression, MANOVA, canonical correlation, factor analysis, and related topics. Previously published by HB/AP. |
Additional Information |
BISAC Categories: - Mathematics | Probability & Statistics - Multivariate Analysis |
Dewey: 519.535 |
LCCN: 2001033357 |
Physical Information: 0.92" H x 6.54" W x 9.5" L (2.84 lbs) 636 pages |
Review Citations: Scitech Book News 09/01/2001 pg. 45 |
Descriptions, Reviews, Etc. |
Publisher Description: Drawing upon more than 30 years of experience in working with statistics, Dr. Richard J. Harris has updated A Primer of Multivariate Statistics to provide a model of balance between how-to and why. This classic text covers multivariate techniques with a taste of latent variable approaches. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis. This edition retains its conversational writing style while focusing on classical techniques. The book gives the reader a feel for why one should consider diving into more detailed treatments of computer-modeling and latent-variable techniques, such as non-recursive path analysis, confirmatory factor analysis, and hierarchical linear modeling. Throughout the book there is a focus on the importance of describing and testing one's interpretations of the emergent variables that are produced by multivariate analysis. |
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