By Peter L. Bonate
Analysis of Pretest-Posttest Designs brings welcome aid from this conundrum. This one-stop reference - written particularly for researchers - solutions the questions and is helping transparent the confusion approximately reading pretest-posttest info. retaining derivations to a minimal and providing actual existence examples from quite a number disciplines, the writer gathers and elucidates the options and methods most respected for reviews incorporating baseline data.
Understand the professionals and cons of other tools - ANOVA, ANCOVA, percentage switch, distinction ratings, and more
Learn to settle on the main applicable statistical try - a number of Monte Carlo simulations examine a few of the checks and assist you decide on the single most fitted on your data
Tackle tougher analyses - The vast SAS code incorporated saves you programming time and effort
Requiring only a uncomplicated historical past in facts and experimental layout, this publication accommodates so much, if now not the entire reference fabric that offers with pretest-posttest facts. should you use baseline information on your experiences, research of Pretest-Posttest Designs will prevent time, elevate your realizing, and finally increase the translation and research of your data.
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