By Peter L. Bonate
Analysis of Pretest-Posttest Designs brings welcome aid from this conundrum. This one-stop reference - written in particular for researchers - solutions the questions and is helping transparent the confusion approximately reading pretest-posttest info. retaining derivations to a minimal and providing actual lifestyles examples from a number of disciplines, the writer gathers and elucidates the thoughts and methods most beneficial for stories incorporating baseline data.
Understand the professionals and cons of alternative tools - ANOVA, ANCOVA, percentage switch, distinction ratings, and more
Learn to decide on the main acceptable statistical try - a number of Monte Carlo simulations examine a number of the exams and assist you decide upon the only most suitable on your data
Tackle tougher analyses - The large SAS code incorporated saves you programming time and effort
Requiring only a simple historical past in records and experimental layout, this booklet comprises so much, if now not the entire reference fabric that offers with pretest-posttest facts. in case you use baseline information on your reviews, research of Pretest-Posttest Designs will prevent time, raise your knowing, and finally enhance the translation and research of your data.
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Analysis of Pretest-Posttest Designs by Peter L. Bonate