Analysis of Variance Designs: A Conceptual and Computational Approach with SPSS and SAS 1st Edition by Glenn Gamst, Lawrence S. Meyers, A. J. Guarino – Ebook PDF Instant Download/Delivery: 1107486718, 9781107486713
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Product details:
ISBN 10: 1107486718
ISBN 13: 9781107486713
Author: Glenn Gamst, Lawrence S. Meyers, A. J. Guarino
Analysis of Variance Designs: A Conceptual and Computational Approach with SPSS and SAS 1st Edition: Analysis of Variance Designs presents the foundations of experimental design: assumptions, statistical significance, strength of effect, and the partitioning of the variance. Exploring the effects of one or more independent variables on a single dependent variable as well as two-way and three-way mixed designs, this textbook offers an overview of traditionally advanced topics for progressive undergraduates and graduate students in the behavioral and social sciences. Separate chapters are devoted to multiple comparisons (post hoc and planned/weighted), ANCOVA, and advanced topics. Each of the design chapters contains conceptual discussions, hand calculations, and procedures for the omnibus and simple effects analyses in both SPSS and the new “click and shoot” SAS Enterprise Guide interface.
Analysis of Variance Designs: A Conceptual and Computational Approach with SPSS and SAS 1st Edition Table of contents:
- Chapter 1: ANOVA and Research Design
- Chapter 2: Measurement, Central Tendency, and Variability
- Chapter 3: Elements of ANOVA
- Chapter 4: The Statistical Significance and Effect of Strength
- Chapter 5: Analysis of Variance Assumptions
- Chapter 6: One-Way Between Subjects Design
- Chapter 7: Multiple Comparison Procedures
- Chapter 8: Two-Way Between Subjects Design
- Chapter 9: Three-Way Between Subjects Design
- Chapter 10: One-Way Within Subject Design
- Chapter 11: Two-Way Within Subjects Design
- Chapter 12: Three-Way Within Subjects Design
- Chapter 13: Simple Mixed Design
- Chapter 14: Complex Mixed Design: Two Between-Subject Factors and One Within-Subject Factor
- Chapter 15: Complex Mixed Design: One Between-Subject Factor and Two Within-Subject Factors
- Chapter 16: Analysis of Covariance
- Chapter 17: Advanced Topics in Analysis of Variance
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