Quasi-Experimentation
eBook - ePub

Quasi-Experimentation

A Guide to Design and Analysis

  1. 361 pages
  2. English
  3. ePUB (mobile friendly)
  4. Available on iOS & Android
eBook - ePub

Quasi-Experimentation

A Guide to Design and Analysis

About this book

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 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.
 

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Yes, you can access Quasi-Experimentation by Charles S. Reichardt in PDF and/or ePUB format, as well as other popular books in Social Sciences & Statistics for Business & Economics. We have over one million books available in our catalogue for you to explore.

Table of contents

  1. Cover
  2. Methodology in the Social Sciences
  3. Title Page
  4. Copyright Page
  5. Dedication
  6. Series Editor’s Note
  7. Preface
  8. Contents
  9. 1. Introduction
  10. 2. Cause and Effect
  11. 3. Threats to Validity
  12. 4. Randomized Experiments
  13. 5. One-Group Posttest-Only Designs
  14. 6. Pretest–Posttest Designs
  15. 7. Nonequivalent Group Designs
  16. 8. Regression Discontinuity Designs
  17. 9. Interrupted Time-Series Designs
  18. 10. A Typology of Comparisons
  19. 11. Methods of Design Elaboration
  20. 12. Unfocused Design Elaboration and Pattern Matching
  21. 13. Principles of Design and Analysis for Estimating Effects
  22. Appendix: The Problems of Overdetermination and Preemption
  23. Glossary
  24. References
  25. Author Index
  26. Subject Index
  27. About the Author
  28. About Guilford Press
  29. Discover Related Guilford Books