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Introducing Anova and Ancova: a GLM Approach

โœ Scribed by Rutherford, Andrew


Publisher
Sage Publications, Ltd.
Year
2004;2000
Tongue
English
Category
Library

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โœฆ Synopsis


Introducing ANOVA and ANCOVA provides a guide to the use of the General Linear Modeling (GLM) approach to the analysis of variance and covariance.;Cover; Contents; Chapter 1 -- An Introduction to General Linear Models: Regression, Analysis of Variance and Analysis of Covariance; Chapter 2 -- Traditional and GLM approaches to independent measures single factor ANOVA designs; Chapter 3 -- GLM approaches to independent measures factorial ANOVA designs; Chapter 4 -- GLM approaches to repeated measures designs; Chapter 5 -- GLM approaches to factorial repeated measures designs; Chapter 6 -- The GLM approach to ANCOVA; Chapter 7 -- Assumptions underlying ANOVA, traditional ANCOVA and GLMs; Chapter 8 -- Some alternatives to traditional ANCOVA.

โœฆ Table of Contents


Cover
Contents
Chapter 1 --
An Introduction to General Linear Models: Regression, Analysis of Variance and Analysis of Covariance
Chapter 2 --
Traditional and GLM approaches to independent measures single factor ANOVA designs
Chapter 3 --
GLM approaches to independent measures factorial ANOVA designs
Chapter 4 --
GLM approaches to repeated measures designs
Chapter 5 --
GLM approaches to factorial repeated measures designs
Chapter 6 --
The GLM approach to ANCOVA
Chapter 7 --
Assumptions underlying ANOVA, traditional ANCOVA and GLMs
Chapter 8 --
Some alternatives to traditional ANCOVA. Chapter 9 --
Further issues in ANOVA and ANCOVAReferences
Index.

โœฆ Subjects


Analysis of variance;Electronic books


๐Ÿ“œ SIMILAR VOLUMES


ANOVA and ANCOVA: A GLM Approach
โœ Andrew Rutherford ๐Ÿ“‚ Library ๐Ÿ“… 2011 ๐Ÿ› Wiley ๐ŸŒ English

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โœ Dr Andrew Rutherford ๐Ÿ“‚ Library ๐Ÿ“… 2001 ๐Ÿ› Sage Publications Ltd ๐ŸŒ English

Traditional approaches to ANOVA and ANCOVA are now being replaced by a General Linear Modeling (GLM) approach. This book begins with a brief history of the separate development of ANOVA and regression analyses and demonstrates how both analysis forms are subsumed by the General Linear Model. A simpl