Semistructured interviews involve an interviewer asking some prespecified, open-ended questions, with follow-up questions based on what the interviewee has to say. This Reflections on Methodology post describes a semistructured interview protocol recently used to explore how children who experience poverty perceive their situations, their economic status, and public benefit programs.
Several jurisdictions have instituted procedures meant to affect the use of bail. To determine whether those policies have had effects, a past trend can be used to extrapolate what would have happened had business continued as usual. This post discusses how researchers did such an extrapolation in Mecklenburg, North Carolina.
Lessons from a Simulation Study
This paper makes valuable contributions to the literature on multiple-rating regression discontinuity designs (MRRDDs). It makes concrete recommendations for choosing among existing MRRDD estimation methods, for implementing any chosen method using local linear regression, and for providing accurate statistical inferences.
Design Options for an Evaluation of Head Start Coaching
Using a study of coaching in Head Start as an example, this report reviews potential experimental design options that get inside the “black box” of social interventions by estimating the effects of individual components. It concludes that factorial designs are usually most appropriate.
This report provides recommendations for an evaluation of coaching that may impact teacher and classroom practices in Head Start and other early childhood settings — including about the research questions; the design of the impact study, implementation research, and cost analysis; and logistical challenges for carrying out the design.
In many evaluations, individuals are randomly assigned to experimental arms and then grouped to receive services. In this situation, accounting for grouping may be necessary when estimating the impact estimate’s standard error. This paper demonstrates that nonrandom sorting of individuals into groups can bias the standard error reported by common estimation approaches.