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ANOVA and ANCOVA : a GLM approach

Author: Andrew Rutherford
Publisher: Hoboken, N.J. : Wiley, ©2011.
Edition/Format:   eBook : Document : English : 2nd edView all editions and formats
Database:WorldCat
Summary:
Provides an in-depth treatment of ANOVA and ANCOVA techniques from a linear model perspective ANOVA and ANCOVA: A GLM Approach provides a contemporary look at the general linear model (GLM) approach to the analysis of variance (ANOVA) of one- and two-factor psychological experiments. With its organized and comprehensive presentation, the book successfully guides readers through conventional statistical concepts and  Read more...
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Details

Genre/Form: Electronic books
Additional Physical Format: Print version:
Rutherford, Andrew, 1958-
ANOVA and ANCOVA.
Hoboken, N.J. : Wiley, ©2011
(DLC) 2010018486
(OCoLC)615339203
Material Type: Document, Internet resource
Document Type: Internet Resource, Computer File
All Authors / Contributors: Andrew Rutherford
ISBN: 9781118491713 1118491718 9781118491683 1118491688
OCLC Number: 809041644
Description: 1 online resource (xiii, 344 pages) : illustrations
Contents: Regression, analysis of variance, and analysis of covariance --
Traditional and GLM approaches to independent measures single factor ANOVA designs --
Comparing experimental condition means, multiple hypothesis testing, type 1 error, and a basic data analysis strategy --
Measures of effect size and strength of association, power, and sample size --
GLM approaches to independent measures factorial designs --
GLM appraoches to related measures designs --
The GLM approach to factorial repeated measures designs --
GLM approaches to factorial mixed measures designs --
The GLM approach to ANCOVA --
Assumptions underlying ANOVA, traditional ANCOVA, and GLMs --
Some alternatives to traditional ANCOVA --
Multilevel analysis for the single factor repeated measures design.
Other Titles: Analysis of variance and analysis of covariance :
Responsibility: Andrew Rutherford.

Abstract:

Provides an in-depth treatment of ANOVA and ANCOVA techniquesfrom a linear model perspective  Read more...
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