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 facts. retaining derivations to a minimal and delivering genuine lifestyles examples from a number disciplines, the writer gathers and elucidates the ideas and methods most beneficial for experiences incorporating baseline data.
Understand the professionals and cons of other tools - ANOVA, ANCOVA, percentage switch, distinction rankings, and more
Learn to settle on the main acceptable statistical try - a variety of Monte Carlo simulations examine some of the assessments and assist you choose the single most suitable in your data
Tackle tougher analyses - The wide SAS code integrated saves you programming time and effort
Requiring only a uncomplicated historical past in data and experimental layout, this booklet accommodates such a lot, if no longer the entire reference fabric that bargains with pretest-posttest facts. in case you use baseline information on your reviews, research of Pretest-Posttest Designs will prevent time, elevate your figuring out, and eventually enhance the translation and research of your data.
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