Gamst G., Meyers L.S., Guarino A.J. Analysis of Variance Designs: A Conceptual and Computational Approach with SPSS and SAS

Cambridge University Press, 2008. — 595 p. — ISBN: 0521874815, 9780521874816.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.Research Foundations
ANOVA and Research Design
Measurement, Central Tendency, and Variability
Foundations of Analysis of Variance
Elements of ANOVA
The Statistical Significance of F and Effect Strength
ANOVA Assumptions
Between-Subjects Design
One-Way Between- Subjects Design
Multiple Comparison Procedures
Two-Way Between- Subjects Design
Three-Way Between- Subjects Design
Within-Subjects Design
One-Way Within-Subjects Design
Two-Way Within-Subjects Design
Three-Way Within-Subjects Design
Mixed Design
Simple Mixed Design
Complex Mixed Design: Two Between- Subjects Factors and One Within-Subjects Factor
Complex Mixed Design: One Between- Subjects Factors and Two Within-Subjects Factors
Advanced Topics
Analysis of Covariance
Advanced Topics in Analysis of Variance
Appendixes
Appendix A. Primer on SPSS
Appendix B. Primer on SAS
Appendix C. Table of Critical F Values
Appendix D. Deviational Formula for Sums of Squares
Appendix E. Coefficients of Orthogonal Polynomials
Appendix F. Critical Values of the Studentized Range Statistic