578 pages, illustrations, 38 tables
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, Analysis of Variance Designs 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.
"[...] readable but with a level of complexity commensurate with that of the topic."
- J.T. Saccoman, Choice Magazine
1. ANOVA and research design
2. Measurement, central tendency, and variability
3. Elements of ANOVA
4. The statistical significance and effect of strength
5. Analysis of variance assumptions
6. One-way between subjects design
7. Multiple comparison procedures
8. Two-way between subjects design
9. Three-way between subject design
10. One-way within subject design
11. Two-way within subjects design
12. Three-way within subjects design
13. Simple mixed design
14. Complex mixed design: two between-subject factors and one within-subject factors
15. Complex mixed design: one between-subject factors and two within-subject factors
16. Analysis of covariance
17. Advanced topics in analysis of variance
Appendix A. Primer on SPSS
Appendix B. Primer on SAS Enterprise Guide
Appendix C. Table of critical f values
Appendix D. Deviational formula for sums of squares
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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 PhD from the University of Arkansas in experimental psychology. His research interests include the effects of multicultural variables such as client-therapist ethnic match, client acculturation status and ethnic identity, and therapist cultural competence on clinical outcomes. Additional research interests focus on conversation memory and discourse processing.
A. J. Guarino is on the faculty at Auburn University, teaching the statistics sequence of ANOVA, multiple regression, MANOVA, and structural equation modeling (SEM) in the College of Education. He received his bachelor's degree from the University of California, Berkeley. He earned a doctorate in statistics and research methodologies from the University of Southern California through the Department of Educational Psychology.
Lawrence S. Meyers is Professor of Psychology at Sacramento State University, where he teaches undergraduate and graduate courses in research design, data analysis, data interpretation, testing and measurement, and history and systems of psychology. He received his doctorate from Adelphi University and worked on the National Science Foundation Postdoctoral Fellowship at the University of Texas, Austin, and Purdue University.