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Using multivariate statistics /Barbara G. Tabachnick, Linda S. Fidell.

By: Contributor(s): Material type: TextTextPublication details: Boston, Massachusetts : Pearson/Allyn and Bacon, (c)2007.Edition: fifth editionDescription: xxviii, 980 pages : illustrations ; 25 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9780205459384
Subject(s): Genre/Form: LOC classification:
  • QA278 .U856 2007
Online resources: Available additional physical forms:
  • COPYRIGHT: covered - CIU has obtained rights for you to copy and share this title in electronic or print format with students, faculty, and staff.
Contents:
Subject: "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 its practical approach, still focusing on the benefits and limitations of applications of a technique to a data set - when, why, and how to do it. Overall, it provides advanced students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics." Publisher's site
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Item type Current library Collection Call number Status Date due Barcode
Circulating Book (checkout times vary with patron status) Circulating Book (checkout times vary with patron status) G. Allen Fleece Library CIRCULATING COLLECTION Non-fiction QA278.T333.U856 2007 (Browse shelf(Opens below)) Available 31923002109227

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.

"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 its practical approach, still focusing on the benefits and limitations of applications of a technique to a data set - when, why, and how to do it. Overall, it provides advanced students with a timely and comprehensive introduction to today's most commonly encountered statistical and multivariate techniques, while assuming only a limited knowledge of higher-level mathematics." Publisher's site

COPYRIGHT: covered - CIU has obtained rights for you to copy and share this title in electronic or print format with students, faculty, and staff.

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