Experimental and quasi-experimental designs for generalized causal inference
University of Memphis · Northwestern University
Abstract
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.…
Citation impact
- FWCI
- 187.92
- Percentile
- 100%
- References
- 0
Authors
3Topics & keywords
- Causal inference
- Randomized experiment
- Random assignment
- Inference
- External validity
- Internal validity
- Regression discontinuity design
- Causal model