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Using multivariate statistics

Author: Barbara G Tabachnick; Linda S Fidell
Publisher: Boston : Pearson/Allyn & Bacon, ©2007.
Edition/Format:   Print book : English : 5th edView all editions and formats
Database:WorldCat
Summary:
"This text takes a practical approach to multivariate data analysis, with an introduction to the most commonly encountered statistical and multivariate techniques. Using Multivariate Statistics provides practical guidelines for conducting numerous types of multivariate statistical analyses. It gives syntax and output for accomplishing many analyses through the most recent releases of SAS and SPSS. The book maintains  Read more...
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Genre/Form: Lehrbuch
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Barbara G Tabachnick; Linda S Fidell
ISBN: 0205459382 9780205459384 0205465250 9780205465255
OCLC Number: 62766132
Description: xxviii, 980 pages : illustrations ; 25 cm
Contents: 1. Introduction --
2. A guide to statistical techniques : Using the book --
3. Review of univariate and bivariate statistics --
4. Cleaning up your act: screening data prior to analysis --
5. Multiple regression --
6. Canonical correlation --
7. Multiway frequency analysis --
8. Analysis of Covariance --
9. Multivariate analysis of variance and covariance --
10. Profile analysis : the multivariate approach to repeated measures --
11. Discriminant function analysis --
12. Logistic regression --
13. Principal components and factor analysis --
14. Structural equation modeling / Jodie B. Ullman --
15. Survival/failure analysis --
16. Time-series analysis --
17. An overview of the general linear model--
Appendix A : A skimpy introduction to matrix algebra --
Appendix B : Research designs for complete Examples --
Appendix C : Statistical tables.
Responsibility: Barbara G. Tabachnick, Linda S. Fidell.

Abstract:

Provides advanced students with a comprehensive introduction to commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher level mathematics. Each  Read more...

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