Analysis of Variance Designs
Analysis of Variance Designs
Lawrence S. Meyers, California State University, Sacramento
A. J. Guarino, Auburn University, Alabama
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USDANOVA (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.
- Appeals to undergraduates taking a second statistics course and master and doctoral students in applied subjects
- Each chapter contains applications sections showing how methods discussed in text can be implemented in the software package SPSS
- Presents traditionally advanced material such as ANOVA in an accessible way for undergraduates
Reviews & endorsements
"... readable but with a level of complexity commensurate with that of the topic."
J.T. Saccoman, Choice Magazine
Product details
November 2008Adobe eBook Reader
9780511426872
0 pages
0kg
38 tables 36 exercises
This ISBN is for an eBook version which is distributed on our behalf by a third party.
Table of Contents
- 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 subjects 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 factor
- 15. Complex mixed design: one between-subject factor 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.
