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