ANOVA and ANCOVA : a GLM approach / Andrew Rutherford.Material type: TextPublication details: Hoboken, N.J. : Wiley, ©2011Edition: 2nd edDescription: 1 online resource (xiii, 344 pages) : illustrationsContent type: text Media type: computer Carrier type: online resourceISBN: 9781118491713; 1118491718; 9781118491683; 1118491688Other title: Analysis of variance and analysis of covariance : a general linear model approachSubject(s): Analysis of variance | Analysis of covariance | Linear models (Statistics) | Analysis of covariance | Analysis of variance | Linear models (Statistics) | MATHEMATICS -- Probability & Statistics -- General | Analysis of covariance | Analysis of variance | Linear models (Statistics)Genre/Form: Electronic books. | Electronic books.Additional physical formats: Print version:: ANOVA and ANCOVA.DDC classification: 519.5/38 LOC classification: QA279 | .R879 2011ebOnline resources: Wiley Online Library
Includes bibliographical references and index.
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.
Print version record.
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 how to interpret them in GLM terms, treating the main single- and multi-factor designs as they relate to ANOVA and ANCOVA. The book begins with a brief history of the separate dev.