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Data Analysis for Research Designs : Analysis of Variance and Multiple Regression Correlation Approaches

Data Analysis for Research Designs : Analysis of Variance and Multiple Regression Correlation Approaches - 89 edition

ISBN13: 978-0716719915

Cover of Data Analysis for Research Designs : Analysis of Variance and Multiple Regression Correlation Approaches 89 (ISBN 978-0716719915)
ISBN13: 978-0716719915
ISBN10: 0716719916
Cover type:
Edition/Copyright: 89
Publisher: W.H. Freeman
Published: 1989
International: No

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Data Analysis for Research Designs : Analysis of Variance and Multiple Regression Correlation Approaches - 89 edition

ISBN13: 978-0716719915

Geoffrey Keppel and Sheldon Zedeck

ISBN13: 978-0716719915
ISBN10: 0716719916
Cover type:
Edition/Copyright: 89
Publisher: W.H. Freeman

Published: 1989
International: No
Summary

Data Analysis for Research Designs covers the analytical techniques for the analysis of variance (ANOVA) and multiple regression/correlation (MRC), emphasizing single-degree-of-freedom comparisons so that students focus on clear research planning. This text is designed for advanced undergraduates and graduate students of the behavioral and social sciences who have an understanding of algebra and statistics.

Author Bio

Keppel, Geoffrey : University of California-Berkeley

Zedeck, Sheldon : University of California-Berkeley

Table of Contents

Preface


1. Introduction
2. Principle of Research Design
3. Overview of Design and Analysis
4. Basic Concepts in Statistical Analysis
5. Basic Statistical Concepts in Correlation and Regression
6. Basic Statistical Concepts in ANOVA
7. The Correlational Analysis of Experimental Data
8. Significance and Hypothesis Testing
9. General Coding of Experiments for MRC Analysis
10. Overall Analysis of the Single-Factor Design
11. Detailed Analysis of the Single-Factor Design
12. Correction for Multiple Comparisons
13. Introduction to the Two-Factor Design
14. The Analysis of Main Effects and Simple Effects
15. The Analysis of Interaction Comparisons: The Interaction Contrast
16. The Within-Subjects Single-Factor Design
17. The Mixed Two-Factor Design
18. Detailed Analysis of the Mixed Factorial Design
19. Higher-Order Factorial Designs
20. Nonexperimental Research
21. Other Applications of MRC to Nonexperimental Research
22. Analysis of Covariance
23. Analysis of Trend
24. Unequal Sample Sizes
25. Epilogue


References
Appendix
Answers to the Exercises
Author Index
Subject Index

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