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Keppel, G., & Wickens, T. D. (Eds.). (2004). Design and Analysis: A Researcher's Handbook (4th ed.). Upper Saddle River, NJ: Pearson Prentice Hall.
Previous editions of this book, written by the first author, Geoffrey Keppel, have been used over the years to train social scientists in statistics. The book is a classic, and the new edition written with Thomas Wickens also promises to be well received by students and researchers. Having been totally reorganized and rewritten in parts, the new edition has been brought up to date covering recent statistical procedures while keeping its fundamental focus on research design. Overall, this is an excellent book that should be very useful. I recap the book below.
The book is a comprehensive study of experimental ANOVA designs covering simple and complex factorial designs and repeated measures. One of the many strengths of the book is that it develops themes early in the discussion of factorial designs that are followed through the complex designs, including power, sample size, effect size, contrasts, and violation of assumptions. Surprisingly, the book does not have a chapter on regression. In my opinion, this is a weakness, especially when the authors address the ANCOVA model later in chapter 15.
The book begins with the discussion of control and isolation in research designs and moves quickly to the discussion of the one-way ANOVA model. Here, the authors introduce the logic of hypothesis testing, the F ratio, and the 1 degree-of-freedom contrast. A contrast, they argue, can be used to test a theoretical prediction or unexpected pattern of means. The discussion of contrasts is organized around three types of questions:
1. The primary experimental questions, which are few in number, are the vital questions in the experiment. The contrasts are planned before the experiment is carried out to answer these questions. The focus is on power and not the control of Type (I) error.
2. Auxiliary but fundamental are the next type of questions. These are fundamental but not as important as the primary questions. They are also few in number. For example, when we look at all the pairwise comparisons between the control group and the experimental groups, the focus is on controlling the familywise error rate while keeping adequate power. To analyze these...