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.

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.

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