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

Designing Experiments and Analyzing Data (eBook, PDF)

A Model Comparison Perspective, Third Edition

• Format: PDF

Produktbeschreibung

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.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 1080
• Erscheinungstermin: 11. September 2017
• Englisch
• ISBN-13: 9781317284567
• Artikelnr.: 49266811

Autorenporträt

Scott E. Maxwell is the Fitzsimons Professor of Psychology at the University of Notre Dame. His research interests are in the areas of research methodology and applied behavioral statistics, with much of his recent work focusing on statistical power and accuracy in parameter estimation, especially in randomized designs. Professor Maxwell has served as editor of Psychological Methods, received the Samuel J. Messick Award for Distinguished Scientific Contributions by the American Psychological Association's Division of Evaluation, Measurement, & Statistics, and has received multiple teaching awards.

Harold D. Delaney is Emeritus Professor of Psychology at the University of New Mexico, where he received the University's Outstanding Graduate Teacher of the Year award. His research interests in applied statistics include methods that accommodate individual differences among people. Professor Delaney received a Fulbright Award from the U.S. Department of State to spend an academic year lecturing in Budapest, Hungary.

Ken Kelley is Professor of Information Technology, Analytics, and Operations (ITAO) and the Associate Dean for Faculty and Research in the Mendoza College of Business at the University of Notre Dame. His work is on quantitative methodology, where he focuses on the development, improvement, and evaluation of statistical methods and measurement issues. Professor Kelley is an Accredited Professional Statistician (PStat®), recipient of the Anne Anastasi early career award by the APA's Division of Evaluation, Measurement, & Statistics, a fellow of the American Psychological Association, and an award-winning teacher.

Inhaltsangabe

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