Designing Experiments and Analyzing Data : A Model Comparison Perspective, Third Edition (Paperback, 3 ed)

Part I: Conceptual Bases of Experimental Design and Analysis  1. The Logic of Experimental Design and Analysis  2. Drawing Valid Inferences from Experiments  Part II: Model Comparisons for Between-Subjects Designs  3. Introduction to Model Comparisons: One-Way Between-Subjects Designs  4. Individual Comparisons of Means  5. Testing Several Contrasts: The Multiple-Comparisons Problem  6. Trend Analysis  7. Two-Way Between-Subjects Factorial Designs  8. Higher Order Between-Subjects Factorial Designs  9. Designs with Covariates: ANCOVA and Blocking  Extensions  10. Designs with Random or Nested Factors  Part III: Model Comparisons for Designs Involving Within-Subjects Factors  11. One-Way Within-Subjects Designs: Univariate Approach  12. Higher-Order Designs with Within-Subjects Factors: Univariate Approach  13. One-Way Within-Subjects Designs: Multivariate Approach  14. Higher Order Designs with Within-Subjects Factors: The Multivariate Approach  Part IV: Mixed-Effects Models  15. An Introduction to Mixed-Effects Models: Within-Subjects Designs  16. An Introduction to Mixed-Effect Models: Nested Designs  References  Appendix