Limit search to items available for checkout
Title Analyzing within-subjects experiments / John W. Cotton.
Imprint Mahwah, N.J. : Lawrence Erlbaum, 1998.


 Internet  Electronic Book    AVAILABLE
Description 1 online resource (xvi, 336 pages) : illustrations
Bibliog. Includes bibliographical references (pages 319-326) and index.
Note Available only to authorized UTEP users.
Print version record.
Subject Crossover trials.
Cross-Over Studies.
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℗ʼ 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 : AmAm, AmBm, BmAm, or BmBm 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?
Summary Most behavioral scientists know two important concepts -- how to analyze continuous data from randomly assigned treatment groups of subjects and how to assess practice effects for a single group of subjects given a constant treatment at each of several stages of practice. However, except in the case of the repeated measures Latin square design, researchers are not facile in analyzing data from different subjects receiving different treatments at various times in an experiment. This book helps fill the void.
Other Title Print version: Cotton, John Whealdon, 1925- Analyzing within-subjects experiments. Mahwah, N.J. : Lawrence Erlbaum, 1998 0805828044