Quasi Experimental Research Designs

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Quasi-Experimentation

Quasi-Experimentation
Author :
Publisher : Guilford Publications
Total Pages : 382
Release :
ISBN-10 : 9781462540204
ISBN-13 : 1462540201
Rating : 4/5 (201 Downloads)

Book Synopsis Quasi-Experimentation by : Charles S. Reichardt

Download or read book Quasi-Experimentation written by Charles S. Reichardt and published by Guilford Publications. This book was released on 2019-09-02 with total page 382 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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. Reichardt compares quasi-experiments to randomized experiments and discusses when and why the former might be a better choice. Modern moethods 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.


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Quasi-Experimentation
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Type: BOOK - Published: 2019-09-02 - Publisher: Guilford Publications

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Featuring engaging examples from diverse disciplines, this book explains how to use modern approaches to quasi-experimentation to derive credible estimates of t
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We shall examine the validity of 16 experimental designs against 12 common threats to valid inference. By experiment we refer to that portion of research in whi
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Experimental and Quasi-experimental Designs for Generalized Causal Inference
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Sections include: experiments and generalised causal inference; statistical conclusion validity and internal validity; construct validity and external validity;