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Using multivariate statistics / Barbara G. Tabachnick, California State University, Northridge, Linda S. Fidell, California State University, Northridge.

By: Contributor(s): Material type: TextTextPublisher: NY, NY : Pearson, [2019]Edition: Seventh editionDescription: xiv, 832 pages : illustrations ; 28 cmContent type:
  • text
Media type:
  • unmediated
Carrier type:
  • volume
ISBN:
  • 9789389342239
  • 0134790545
Subject(s): DDC classification:
  • 519.535 TAB/U
LOC classification:
  • QA278 .T3 2019
Contents:
Introduction -- A guide to statistical techniques : using the book -- Review of univariate and bivariate statistics -- Cleaning up your act : screening data -- Multiple regression -- Analysis of covariance -- Multivariate analysis of variance and covariance -- Profile analysis : the multivariate approach to repeated measures -- Discriminant analysis -- Logistic regression -- Survival-failure analysis -- Canonical correlation -- Principal components and factor analysis -- Structural equation modeling / by Jodie B. Ullman -- Multilevel linear modeling -- Multiway frequency analysis -- An overview of the general linear model -- Time-series analysis (available online).
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Item type Current library Collection Call number Status Notes Date due Barcode
Books Books MES KC LIBRARY STATISTICS Statistics 519.535 TAB/U (Browse shelf(Opens below)) Available GL21R4 42237

Chapter 14, by Jodie B. Ullman.

Introduction -- A guide to statistical techniques : using the book -- Review of univariate and bivariate statistics -- Cleaning up your act : screening data -- Multiple regression -- Analysis of covariance -- Multivariate analysis of variance and covariance -- Profile analysis : the multivariate approach to repeated measures -- Discriminant analysis -- Logistic regression -- Survival-failure analysis -- Canonical correlation -- Principal components and factor analysis -- Structural equation modeling / by Jodie B. Ullman -- Multilevel linear modeling -- Multiway frequency analysis -- An overview of the general linear model -- Time-series analysis (available online).

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