Using an alternative to classical statistics, this paper reanalyzes results from three published studies of interventions to increase employment and reduce welfare dependency. The analysis formally incorporates prior beliefs about the interventions, characterizing the results in terms of the distribution of possible effects, and generally confirms the earlier published findings.
Helping Low-Income and First-Generation Students Make Good College Choices
Too many low-income, college-ready students are “undermatching” — enrolling in colleges for which they are academically overqualified or not going to college at all. Early results from the College Match Program in three Chicago high schools suggest that it’s possible to help students navigate the complicated college application process and make more informed decisions.
This paper illustrates how to design an experimental sample for measuring the effects of educational programs when whole schools are randomized to a program and control group. It addresses such issues as what number of schools should be randomized, how many students per school are needed, and what is the best mix of program and control schools.