Designing Experiments and Analyzing Data A Model Comparison Perspective

Name: Designing Experiments and Analyzing Data A Model Comparison Perspective
Price: 6.15 USD
Availability: InStock
ISBN: 9780805837186

ISBN-10: 0805837183

ISBN-13: 9780805837186

Edition: 2nd 2003 (Revised)

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

List price: $120.00

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Description:

Through this book's unique model comparison approach, students and researchers are introduced to a set of fundamental principles for analyzing data. After seeing how these principles can be applied in simple designs, students are shown how these same principles also apply in more complicated designs. Drs. Maxwell and Delaney believe that the model comparison approach better prepares students to understand the logic behind a general strategy of data analysis appropriate for various designs; and builds a stronger foundation, which allows for the introduction of more complex topics omitted from other books. Several learning tools further strengthen the reader's understanding:…

Book details

List price: $120.00
Edition: 2nd
Copyright year: 2003
Publisher: Routledge
Publication date: 7/1/2003
Binding: Hardcover
Pages: 1104
Size: 7.25" wide x 10.25" long x 2.00" tall
Weight: 4.136



Preface



Conceptual Bases of Experimental Design and Analysis


The Logic of Experimental Design


Introduction to the Fisher Tradition



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



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



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 1.1 Linear Models: The Relation Between ANOVA and Regression


Part 1.2 A Brief Primer of Principles of Formulating and Comparing Models


Notes


Solutions to Selected Exercises


References