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Raudenbush, Stephen W.; Bloom, Howard S. – MDRC, 2015
The present paper, which is intended for a diverse audience of evaluation researchers, applied social scientists, and research funders, provides a broad overview of the conceptual and statistical issues involved in using multisite randomized trials to learn "about" and "from" variation in program effects across…
Descriptors: Program Effectiveness, Research Methodology, Statistical Analysis, Differences
Porter, Kristin E.; Reardon, Sean F.; Unlu, Fatih; Bloom, Howard S.; Robinson-Cimpian, Joseph P. – MDRC, 2014
A valuable extension of the single-rating regression discontinuity design (RDD) is a multiple-rating RDD (MRRDD). To date, four main methods have been used to estimate average treatment effects at the multiple treatment frontiers of an MRRDD: the "surface" method, the "frontier" method, the "binding-score" method, and…
Descriptors: Regression (Statistics), Research Design, Quasiexperimental Design, Research Methodology
Bloom, Howard; Zhu, Pei; Jacob, Robin; Raudenbush, Stephen; Martinez, Andres; Lin, Fen – MDRC, 2008
This paper provides practical guidance for researchers who are designing studies that randomize groups to measure the impacts of interventions on children. To do so, the paper: (1) provides new empirical information about the values of parameters that influence the precision of impact estimates (intra-class correlations and R-squares); (2)…
Descriptors: Pilot Projects, Research Methodology, Intervention, Sampling
Bloom, Howard S.; Richburg-Hayes, Lashawn; Black, Alison Rebeck – MDRC, 2005
This paper examines how controlling statistically for baseline covariates (especially pretests) improves the precision of studies that randomize schools to measure the impacts of educational interventions on student achievement. Part I of the paper introduces the concepts, issues, and options involved. Parts II and III present empirical findings…
Descriptors: Program Effectiveness, Reading Achievement, Mathematics Achievement, Research Methodology