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 development of
ANOVA and regression analyses, and then goes on to demonstrate how
both analyses are incorporated into the understanding of GLMs. This
new edition now explains specific and multiple comparisons of
experimental conditions before and after the Omnibus ANOVA, and
describes the estimation of effect sizes and power analyses leading to
the determination of appropriate sample sizes for experiments to be
conducted. Topics that have been expanded upon and added include:
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Discussion of optimal experimental designs
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Different approaches to carrying out the simple effect analyses
and pairwise comparisons with a focus on related and repeated
measure analyses
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The issue of inflated Type 1 error due to multiple hypotheses testing
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Worked examples of Shaffer's R test, which accommodates logical
relations amongst hypotheses
ANOVA and ANCOVA: A GLM Approach, Second Edition is an excellent book
for courses on linear modeling at the graduate level. It is also a
suitable reference for researchers and practitioners in the fields of
psychology and the biomedical and social sciences.
Andrew Rutherford, PhD, is Senior Lecturer in the School of
Psychology at Keele University (United Kingdom). Dr. Rutherford's
research interests include encoding and retrieval processes in recall
and recognition and the effect of mild head injury on cognition, as
well as general linear modeling.
