9780805837766-0805837760-Applied Multivariate Statistics for the Social Sciences, Fourth Edition (Applied Multivariate STATS)

Applied Multivariate Statistics for the Social Sciences, Fourth Edition (Applied Multivariate STATS)

ISBN-13: 9780805837766
ISBN-10: 0805837760
Edition: 4
Author: James P Stevens
Publication date: 2001
Publisher: Psychology Press
Format: Hardcover 720 pages
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Book details

ISBN-13: 9780805837766
ISBN-10: 0805837760
Edition: 4
Author: James P Stevens
Publication date: 2001
Publisher: Psychology Press
Format: Hardcover 720 pages

Summary

Applied Multivariate Statistics for the Social Sciences, Fourth Edition (Applied Multivariate STATS) (ISBN-13: 9780805837766 and ISBN-10: 0805837760), written by authors James P Stevens, was published by Psychology Press in 2001. With an overall rating of 3.7 stars, it's a notable title among other books. You can easily purchase or rent Applied Multivariate Statistics for the Social Sciences, Fourth Edition (Applied Multivariate STATS) (Hardcover) from BooksRun, along with many other new and used books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.3.

Description

This best-selling text is written for those who use, rather than develop, advanced statistical methods. Dr. Stevens focuses on a conceptual understanding of the material rather than proving results. Helpful narrative and numerous examples enhance understanding, and a chapter on matrix algebra serves as a review. Printouts from SPSS and SAS with annotations indicate what the numbers mean and encourage interpretation of the results. In addition to demonstrating how to use the packages effectively, the author stresses the importance of checking the data, assessing the assumptions, and ensuring adequate sample size (by providing guidelines) so that the results can be generalized. The new edition features a CD-ROM with the data sets and many new exercises. Ideal for courses on advanced or multivariate statistics found in psychology, education, and business departments, the book also appeals to practicing researchers with little or no training in multivariate methods. Prerequisites include a course on factorial analysis of variance. It does not assume a working knowledge of matrix algebra.

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