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Book Synopsis :

Featuring engaging examples from diverse disciplines, this book explains how to use modern approaches to quasi-experimentation to derive credible estimates of treatment effects under the demanding constraints of field settings. Foremost expert Charles S. Reichardt provides an in-depth examination of the design and statistical analysis of pretest?posttest, nonequivalent groups, regression discontinuity, and interrupted time-series designs. He details their relative strengths and weaknesses and offers practical advice about their use. Comparing quasi-experiments to randomized experiments, Reichardt discusses when and why the former might be a better choice than the latter in the face of the contingencies that are likely to arise in practice. Modern methods for elaborating a research design to remove bias from estimates of treatment effects are described, as are tactics for dealing with missing data and noncompliance with treatment assignment. Throughout, mathematical equations are

Book Detail :

Author : Charles S Reichardt

Pages : 361 pages

Publisher : The Guilford Press

Language :

ISBN-10 : 1462540201

ISBN-13 : 9781462540204

 
Supporting format: PDF, EPUB, Kindle, Audio, MOBI, HTML, RTF, TXT, etc.
Supporting : PC, Android, Apple, Ipad, Iphone, etc.
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