Experimental Evaluation Design for Program Improvement. Laura R. Peck

identifying some principles for putting experimental evaluation into practice. Finally, an Appendix provides basic instruction in doing the math needed to generate impact estimates associated with various designs. When randomization is used, the math can be quite simple. The Appendix also addresses the relationship between sample size impact magnitude. Each of the chapters ends with two common sections: Questions and Exercises, and Resources for Additional Learning.

      Questions and Exercises

      1 Identify an applied experimental evaluation that fits each type of experimental evaluation model: large-scale, nudge/opportunistic, rapid-cycle, and meta-analysis or systematic review.

      2 Discuss: To what extent do you agree or disagree with each of the arguments about the ethics of experimentation?

      Resources for Additional Learning

       Rigorous Evaluations and Evidence-Based Policy and Innovation Initiative (of the Laura and John Arnold Foundation): https://www.arnoldventures.org/work/evidence-based-policy

       Government Innovator blog: http://govinnovator.com/

       U.S. Office of Management and Budget’s Evidence Team: https://obamawhitehouse.archives.gov/omb/evidence; https://www.whitehouse.gov/omb/information-for-agencies/evidence-and-evaluation/

       Social and Behavioral Sciences Team (SBST): https://sbst.gov/