Experimental and Quasi-Experimental Designs for Generalized Causal Inference

by Shadish, William R.; Cook, Thomas D.; Campbell, Donald T.

• ISBN13: 9780395615560
• ISBN10: 0395615569
• Edition: 2nd
• Format: Paperback
• Copyright: 2001-01-02
• Publisher: Cengage Learning

Summary

This long awaited successor of the original Cook/CampbellQuasi-Experimentation: Design and Analysis Issues for Field Settingsrepresents updates in the field over the last two decades. The book covers four major topics in field experimentation: Theoretical matters: Experimentation, causation, and validity Quasi-experimental design: Regression discontinuity designs, interrupted time series designs, quasi-experimental designs that use both pretests and control groups, and other designs Randomized experiments: Logic and design issues, and practical problems involving ethics, recruitment, assignment, treatment implementation, and attrition Generalized causal inference: A grounded theory of generalized causal inference, along with methods for implementing that theory in single and multiple studies

Table of Contents

Experiments and Generalized Causal Inference

Statistical Conclusion Validity and Internal Validity

Construct Validity and External Validity

Quasi-Experimental Designs That Either Lack a Control Group or Lack Pretest Observations on the Outcome

Quasi-Experimental Designs That Use Both Control Groups and Pretests

Quasi-Experimentation: Interrupted Time Series Designs

Regression Discontinuity Designs

Randomized Experiments: Rationale, Designs, and Conditions Conducive to Doing Them

Practical Problems 1: Ethics, Participant Recruitment, and Random Assignment

Practical Problems 2: Treatment Implementation and Attrition

Generalized Causal Inference: A Grounded Theory

Generalized Causal Inference: Methods for Single Studies

Generalized Causal Inference: Methods for Multiple Studies

A Critical Assessment of Our Assumptions

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