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 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:
* Discussion of optimal experimental designs
* Different approaches to carrying out the simple effect analyses
and pairwise comparisons with a focus on related and repeated
measure analyses
* The issue of inflated Type 1 error due to multiple hypotheses
testing
* 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.
About the author
Andrew Rutherford, Ph D, 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.
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