Designing Experiments and Analyzing Data: A Model Comparison Perspective, Third Edition

ISBN-13: 9781138892286 / Angielski / Twarda / 2017 / 1056 str.

Scott E. Maxwell; Harold D. Delaney; Ken Kelley

Opis

The pedagogical approach used throughout the book enables readers to gain an overview of experimental design, from conceptualization of the research question to analysis of the data. Ideal for students and researchers.

Spis treści

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