๐”– Scriptorium
โœฆ   LIBER   โœฆ

๐Ÿ“

Quasi-Experimentation: A Guide to Design and Analysis

โœ Scribed by Charles S. Reichardt


Publisher
The Guilford Press
Year
2019
Tongue
English
Leaves
382
Series
Methodology in the Social Sciences
Edition
1
Category
Library

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โœฆ 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 pretestโ€“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 translated into words to enhance accessibility. Adding to its discussion of prototypical quasi-experiments, the book also provides a complete typology of quasi-experimental design options to help the reader craft the best research design to fit the circumstances of a given study.

โœฆ Table of Contents


Dedication
Series Editorโ€™s Note
Preface
Contents
1 ยท Introduction
2 ยท Cause and Effect
3 ยท Threats to Validity
4 ยท Randomized Experiments
5 ยท One-Group Posttestโ€‘Only Designs
6 ยท Pretestโ€“Posttest Designs
7 ยท Nonequivalent Group Designs
8 ยท Regression Discontinuity Designs
9 ยท Interrupted Timeโ€‘Series Designs
10 ยท A Typology of Comparisons
11 ยท Methods of Design Elaboration
12 ยท Unfocused Design Elaboration and Pattern Matching
13 ยท Principles of Design and Analysis for Estimating Effects
Appendix: The Problems of Overdetermination and Preemption
Glossary
References
Author Index
Subject Index
About the Author


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