Analysis of Variance Designs A Conceptual and Computational Approach with SPSS and SAS

ISBN-10: 0521874815

ISBN-13: 9780521874816

Edition: 2008

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Description:

Analysis of Variance Designs presents the foundations of experimental design: assumptions, statistical significance, strength of effect, and the partitioning of the variance. Exploring the effects of one or more independent variables on a single dependent variable as well as two-way and three-way mixed designs, this textbook offers an overview of traditionally advanced topics for progressive undergraduates and graduate students in the behavioral and social sciences. Separate chapters are devoted to multiple comparisons (post hoc and planned/weighted), ANCOVA, and advanced topics. Each of the design chapters contains conceptual discussions, hand calculations, and procedures for the omnibus and simple effects analyses in both SPSS and the new "click and shoot" SAS Enterprise Guide interface.
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Book details

List price: $116.00
Copyright year: 2008
Publisher: Cambridge University Press
Publication date: 9/1/2008
Binding: Hardcover
Pages: 594
Size: 7.00" wide x 10.00" long x 1.50" tall
Weight: 2.596

Glenn Gamst is Professor and Chair of the Psychology Department at the University of La Verne, where he teaches the doctoral advanced statistics sequence. He received his Ph.D. from the University of Arkansas in experimental psychology. His research interests include the effects of multicultural variables on clinical outcome. Additional research interests focus conversation memory and discourse processing.

Larry Meyers earned his doctorate in Experimental Psychology, and has been a Professor in the Psychology Department at California State University, Sacramento for a number of years. He supervises research students and teaches research design courses as well as history of psychology at both the undergraduate and graduate level. His areas of expertise include test development and validation.

A.J. Guarino received his B.A. from the University of California, Berkeley and a Ph.D. from the University of Southern California in statistics and research methodologies from the Department of Educational Psychology. He is professor of biostatistics at Massachusetts General Hospital, Institute of Health Professions. He is the statistician on numerous NIH grants and reviewer on several research journals.

ANOVA and research design
Measurement, central tendency, and variability
Elements of ANOVA
The statistical significance and effect of strength
Analysis of variance assumptions
One-way between subjects design
Multiple comparison procedures
Two-way between subjects design
Three-way between subjects design
One-way within subject design
Two-way within subjects design
Three-way within subjects design
Simple mixed design
Complex mixed design: two between-subject factors and one within-subject factor
Complex mixed design: one between-subject factor and two within-subject factors
Analysis of covariance
Advanced topics in analysis of variance
Primer on SPSS
Primer on SAS Enterprise Guide
Table of critical f values
Deviational formula for sums of squares
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