Table of Contents

1. Experiments and Generalized Causal Inference
2. Statistical Conclusion Validity and Internal Validity
3. Construct Validity and External Validity
4. Quasi-Experimental Designs That Either Lack a Control Group or Lack Pretest Observations on the Outcome
5. Quasi-Experimental Designs That Use Both Control Groups and Pretests
6. Quasi-Experimentation: Interrupted Time Series Designs
7. Regression Discontinuity Designs
8. Randomized Experiments: Rationale, Designs, and Conditions Conducive to Doing Them
9. Practical Problems 1: Ethics, Participant Recruitment, and Random Assignment
10. Practical Problems 2: Treatment Implementation and Attrition
11. Generalized Causal Inference: A Grounded Theory
12. Generalized Causal Inference: Methods for Single Studies
13. Generalized Causal Inference: Methods for Multiple Studies
14. A Critical Assessment of Our Assumptions

Reviews

1. Experiments and Generalized Causal Inference 2. Statistical Conclusion Validity and Internal Validity 3. Construct Validity and External Validity 4. Quasi-Experimental Designs That Either Lack a Control Group or Lack Pretest Observations on the Outcome 5. Quasi-Experimental Designs That Use Both Control Groups and Pretests 6. Quasi-Experimentation: Interrupted Time Series Designs 7. Regression Discontinuity Designs 8. Randomized Experiments: Rationale, Designs, and Conditions Conducive to Doing Them 9. Practical Problems 1: Ethics, Participant Recruitment, and Random Assignment 10. Practical Problems 2: Treatment Implementation and Attrition 11. Generalized Causal Inference: A Grounded Theory 12. Generalized Causal Inference: Methods for Single Studies 13. Generalized Causal Inference: Methods for Multiple Studies 14. A Critical Assessment of Our Assumptions