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Experimental Evaluation Design for Program Improvement

Experimental Evaluation Design for Program Improvement

December 2019 | 104 pages | SAGE Publications, Inc
The concepts of cause and effect are critical to the field of program evaluation. Experimentally-designed evaluations—those that randomize to treatment and control groups—offer a convincing means for establishing a causal connection between a program and its effects. Experimental Evaluation Design for Program Improvement considers a range of impact evaluation questions, particularly those questions that focus on the impact of specific aspects of a program. Laura R. Peck shows how a variety of experimental evaluation design options can provide answers to these questions, and she suggests opportunities for experiments to be applied in more varied settings and focused on program improvement efforts.
List of Boxes, Figures, and Tables
Volume Editors’ Introduction
About the Author
Chapter 1 • Introduction
The State of the Field

The Ethics of Experimentation

What This Book Covers

Questions and Exercises

Resources for Additional Learning

Chapter 2 • Conceptual Framework: From Program Logic Model to Evaluation Logic Model
Program Logic Model

Evaluation Logic Model


Questions and Exercises

Resources for Additional Learning

Chapter 3 • The Basic Experimental Design Defined
Random Assignment Explained

The Basic (Two-Armed) Experimental Design

To Have a Control Group or Not to Have A Control Group?

Questions and Exercises

Resources for Additional Learning

Chapter 4 • Variants of the Experimental Design
Multi-Armed Designs

Factorial Designs

Multistage Designs

Staggered Introduction Designs

Blended Designs

Aligning Evaluation Design Options With Program Characteristics and Research Questions


Questions and Exercises

Chapter 5 • Practical Considerations and Conclusion
Some Practical Considerations

Road Testing

Principles for Conducting High-Quality Evaluation

Questions and Exercises

Resources for Additional Learning

Appendix • Doing the Math and Other Technical Considerations
Estimating Treatment Impacts

How to Interpret Results

Handling Treatment Group No-Shows and Control Group Crossovers

Subgroup Analyses


Questions and Exercises

Resources for Additional Learning


Peck reminds us that the results from experiments only inform us about average effects, but more importantly provides us with the information necessary to look inside the "black box."

Roger Boothroyd
University of South Florida
Post-revision review

Experimental evaluations are feasible under the right conditions. This book is an excellent guide for evaluators that want to apply this underutilized design in their practice.

Sebastian Galindo
University of Florida
Post-revision review

 A sophisticated and well-written treatise of evaluation design to improve policies and programs.

Katrin Anacker
George Mason University
pre-publication review

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Chapter 1: Introduction

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