Data Analysis for Research Designs

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Macmillan, Mar 15, 1989 - Psychology - 594 pages
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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.
 

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Clear writing and well organized

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I had to buy this book for class. It cost a lot but not so much more than other hard cover textbooks. Its really well written and explains the concepts really well. Read full review

Contents

Introduction
1
Principles of Research Design
15
Overview of Design and Analysis
31
Basic Concepts in Statistical Analysis
41
Basic Statistical Concepts in Correlation and Regression
49
Basic Statistical Concepts in ANOVA
69
The Correlational Analysis of Experimental Data
83
Significance and Hypothesis Testing
95
The Mixed TwoFactor Design
293
Detailed Analysis of the Mixed Factorial Design
315
HigherOrder Factorial Designs
345
Nonexperimental Research
377
Other Applications of MRC to Nonexperimental Research
417
Analysis of Covariance
453
Analysis of Trend
485
Unequal Sample Sizes
523

General Coding of Experiments for MRC Analysis III
111
Overall Analysis of the SingleFactor Design
119
Detailed Analysis of the SingleFactor Design
145
Correction for Multiple Comparisons
169
Introduction to the TwoFactor Design
183
The Analysis of Main Effects and Simple Effects
213
The Interaction Contrast
239
The WithinSubjects SingleFactor Design
261
Epilogue
549
References
557
Appendix
561
Answers to the Exercises
575
Author Index
587
Subject Index
589
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