This work has been thoughtfully designed so that it serves equally well as a reference for the practitioner and as a self-contained textbook for the advanced student. * Rewritten to maintain clarity and brevity while expanding the coverage of previous editions. * Changes to design-related topics include increased discussion of mixed models and random effects, greater emphasis on regression and data screening, and more use of graphs throughout. * Includes both graded and challenging exercises. * Liberal computer discussions now supplemented with SAS and SPSS.Preface.
1. Data Screening.
Problems.
References.
2. One-Way Analysis of Variance Design.
Problems.
References.
3. Estimation and Simultaneous Inference.
Problems.
References.
4. Hierarchical or Nested Design.
Problems.
References.
5. Two Crossed Factors: Fixed Effects and Equal Sample Sizes.
Problems.
References.
6 Randomized Complete Block Design.
Problems.
References.
7. Two Crossed Factors: Fixed Effects and Unequal Sample Sizes.
Problems.
References.
8. Crossed Factors: Mixed Models.
Problems.
References.
9. Repeated Measures Designs.
Problems.
References.
10. Linear Regression: Fixed X Model.
Problems.
References.
11. Linear Regression: Random X Model and Correlation.