This volume focuses on computational techniques appropriate to the analysis of data from within-subjects and crossover within-subjects designs using various statistical packages. For statisticians, behavioral scientists, and researchers.
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.