Question

When randomization is not feasible, how can we exploit implementation features of the program to measure its impact?

Answer 1

Use quasi-experimental methods such as regression discontinuity design. Quasi-experimental research involves the manipulation of an independent variable without the random assignment of participants to conditions or orders of conditions. Among the important types are nonequivalent groups designs, pretest-posttest, and interrupted time-series designs.