Title
QuasiExperimentation: A Guide to Design and Analysis (Methodology in the Social Sciences Series),Used
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Featuring engaging examples from diverse disciplines, this book explains how to use modern approaches to quasiexperimentation to derive credible estimates of treatment effects under the demanding constraints of field settings. Foremost expert Charles S. Reichardt provides an indepth examination of the design and statistical analysis of pretestposttest, nonequivalent groups, regression discontinuity, and interrupted timeseries designs. He details their relative strengths and weaknesses and offers practical advice about their use. Comparing quasiexperiments 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 translated into words to enhance accessibility. Adding to its discussion of prototypical quasiexperiments, the book also provides a complete typology of quasiexperimental design options to help the reader craft the best research design to fit the circumstances of a given study.
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