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Designing experiments and analyzing data : a model comparison perspective

Author: Scott E Maxwell; Harold David Delaney
Publisher: Mahwah, NJ [u.a.] : Erlbaum, 2004.
Edition/Format:   Print book : English : 2. edView all editions and formats
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Designed to serve as either a graduate-level text or reference book for experimental design, this book should be of use in psychology, education and statistics departments. The book promotes a model  Read more...

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Genre/Form: CD-ROM
Material Type: Internet resource
Document Type: Book, Internet Resource
All Authors / Contributors: Scott E Maxwell; Harold David Delaney
ISBN: 0805837183 9780805837186
OCLC Number: 265449101
Description: Getr. Zählung : graph. Darst. 1 CD-ROM
Contents: Contents: Preface. Part I: Conceptual Bases of Experimental Design and Analysis. The Logic of Experimental Design. Introduction to the Fisher Tradition. Part II: Model Comparisons for Between-Subjects Designs. Introduction to Model Comparisons: One-Way Between-Subjects Designs. Individual Comparisons of Means. Testing Several Contrasts: The Multiple-Comparison Problem. Trend Analysis. Two-Way Between-Subjects Factorial Designs. Higher Order Between-Subjects Factorial Designs. Designs With Covariates: ANCOVA and Blocking. Designs With Random or Nested Factors. Part III: Model Comparisons for Designs Involving Within-Subjects Factors. One-Way Within-Subjects Designs: Univariate Approach. Higher-Order Designs With Within-Subjects Factors: Univariate Approach. One-Way Within-Subjects Designs: Multivariate Approach. Higher Order Designs With Within-Subjects Factors: Multivariate Approach. Part IV: Alternative Analysis Strategies. An Introduction to Multilevel Models for Within-Subjects Designs. An Introduction to Multilevel Hierarchical Mixed Models: Nested Designs. Appendices: Statistical Tables. Part 1. Linear Models: The Relation Between ANOVA and Regression. Part 2. A Brief Primer of Principles of Formulating and Comparing Models. Notes. Solutions to Selected Exercises. References.
Responsibility: Scott E. Maxwell ; Harold D. Delaney.
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"Overall, this is an excellent resource for those designing and analyzing experiments, and for those wishing to consolidate their knowledge of individual designs into a unified conceptual framework." Read more...

 
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