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ANOVA and ANCOVA : a GLM approach

Autor: Andrew Rutherford
Editorial: Hoboken, N.J. : Wiley, ©2011.
Edición/Formato:   Libro-e : Documento : Inglés (eng) : 2nd edVer todas las ediciones y todos los formatos
Base de datos:WorldCat
Resumen:
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  Leer más
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Género/Forma: Electronic books
Formato físico adicional: Print version:
Rutherford, Andrew, 1958-
ANOVA and ANCOVA.
Hoboken, N.J. : Wiley, ©2011
(DLC) 2010018486
(OCoLC)615339203
Tipo de material: Documento, Recurso en Internet
Tipo de documento: Recurso en Internet, Archivo de computadora
Todos autores / colaboradores: Andrew Rutherford
ISBN: 9781118491713 1118491718 9781118491683 1118491688
Número OCLC: 809041644
Descripción: 1 online resource (xiii, 344 pages) : illustrations
Contenido: 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.
Otros títulos: Analysis of variance and analysis of covariance :
Responsabilidad: Andrew Rutherford.
Más información:

Resumen:

Provides an in-depth treatment of ANOVA and ANCOVA techniquesfrom a linear model perspective  Leer más

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