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

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Edition: 1st
Format: Hardcover
Pub. Date: 2008-09-01
Publisher(s): Cambridge University Press
List Price: $141.75

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Summary

ANOVA (Analysis Of Variance) is one of the most fundamental and ubiquitous univariate methodologies employed by psychologists and other behavioural scientists. Analysis of Variance Designs presents the foundations of this experimental design, including 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 advanced undergraduates and graduate students in the behavioural 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.

Table of Contents

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
Table of Contents provided by Publisher. All Rights Reserved.

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