| Description |
xvi, 336 pages : illustrations ; 24 cm |
| Contents |
Ch. 1. An Orientation to Within-Subjects Designs -- Ch. 2. Two-Way Experimental Plans: Split-Plot and Randomized Block Designs -- Ch. 3. Analyzing Data from a Randomized Block Design Experiment That May Exhibit Time-Related Effects -- Ch. 4. Interpreting Estimability Information and Reported Estimates of Parameters in SAS GLM Programs -- Ch. 5. Analyzing Data from Within-Subject Factorial Designs, Taking Into Account Stage-Of-Practice Effects -- Ch. 6. Pretest-Posttest Control Group Designs: Comparing Different Treatment Groups After Pretesting -- Ch. 7. Switching Treatments in Blocks: A[superscript m]A[superscript m], A[superscript m]B[superscript m], B[superscript m]A[superscript m], or B[superscript m]B[superscript m] Patterns With m Stages -- Ch. 8. Analyzing Data from Variants of Alternating Treatment Designs -- Ch. 9. Data Analysis for Multiple-Baseline Designs -- Ch. 10. Data Analysis for Dual-Balanced Multiple-Baseline Designs |
|
Ch. 11. Block-Randomization Experiments With Multiple Treatments, Each Once Per Block of Stages -- Ch. 12. Analyzing Data from an ABBA Versus BAAB Counterbalanced Design -- Ch. 13. Should "Optimal Designs" Be Preferred in Behavior Science Crossover Experiments? -- App. 1. A Little About Matrices and Vectors -- App. 2. Using the Gauss Matrix Programming Language |
| Bibliography |
Includes bibliographical references (pages 319-326) and index |
| Subject |
Crossover trials.
|
| LC no. |
97008624 |
| ISBN |
0805828044 (alk. paper) |
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