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.
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.
An Empirical Assessment Based on Four Recent Evaluations
This reference report, prepared for the National Center for Education Evaluation and Regional Assistance of the Institute of Education Sciences (IES), uses data from four recent IES-funded experimental design studies that measured student achievement using both state tests and a study-administered test.
In some experimental evaluations of classroom- or school-level interventions, random assignment is conducted at the student level and the program is delivered at the higher level. This paper clarifies the correct causal interpretation of “program impacts” when this study design is used and discusses the implications and limitations of this research design. A real example is used to demonstrate the paper’s key points.
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.