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In medical, psychological, sociological, and educational studies, researchers often design experiments in which they collect baseline (pretest) data prior to randomization. However, they often find it difficult to decide which method of statistical analysis is most appropriate to use. Analysis of Pretest-Posttest Designs brings welcome relief from this conundrum. This one-stop reference answers the questions and helps clear the confusion about analyzing pretest-posttest data. Keeping derivations to a minimum and offering real-life examples from a range of disciplines, the author gathers and elucidates the concepts and techniques most useful for studies incorporating baseline data.