Experimental and Quasi-Experimental Designs for Generalized Causal Inference

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  • Edition: 2nd
  • Format: Paperback
  • Copyright: 2001-01-02
  • Publisher: Cengage Learning

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Supplemental Materials

What is included with this book?


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
Table of Contents provided by Publisher. All Rights Reserved.

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