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Lottery-Based Evaluations of Early Education Programs: Opportunities and Challenges for Building the Next Generation of Evidence. Working Paper 30970
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Weiland, Christina; Unterman, Rebecca; Dynarski, Susan; Abenavoli, Rachel; Bloom, Howard; Braga, Breno; Faria, Ann-Marie; Greenberg, Erica H.; Jacob, Brian; Arnold Lincove, Jane; Manship, Karen; McCormick, Meghan; Miratrix, Luke; Monarrez, Tomás E.; Morris-Perez, Pamela; Shapiro, Anna; Valant, Jon; Weixler, Lindsay – National Bureau of Economic Research, 2023
Lottery-based identification strategies offer potential for generating the next generation of evidence on U.S. early education programs. Our collaborative network of five research teams applying this design in early education and methods experts has identified six challenges that need to be carefully considered in this next context: (1) available…
Descriptors: Early Childhood Education, Program Evaluation, Evaluation Methods, Admission (School)
Using Data from Randomized Trials to Assess the Likely Generalizability of Educational Treatment-Effect Estimates from Regression Discontinuity Designs
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Bloom, Howard; Bell, Andrew; Reiman, Kayla – Journal of Research on Educational Effectiveness, 2020
This article assesses the likely generalizability of educational treatment-effect estimates from regression discontinuity designs (RDDs) when treatment assignment is based on academic pretest scores. Our assessment uses data on outcome and pretest measures from six educational experiments, ranging from preschool through high school, to estimate…
Descriptors: Data Use, Randomized Controlled Trials, Research Design, Regression (Statistics)
Using Data from Randomized Trials to Assess the Likely Generalizability of Educational Treatment-Effect Estimates from Regression Discontinuity Designs
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Bloom, Howard; Bell, Andrew; Reiman, Kayla – Grantee Submission, 2020
This article assesses the likely generalizability of educational treatment-effect estimates from regression discontinuity designs (RDDs) when treatment assignment is based on academic pretest scores. Our assessment uses data on outcome and pretest measures from six educational experiments, ranging from preschool through high school, to estimate…
Descriptors: Data Use, Randomized Controlled Trials, Research Design, Regression (Statistics)
Designing and Analyzing Studies that Randomize Schools to Estimate Intervention Effects on Student Academic Outcomes without Classroom-Level Information
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Zhu, Pei; Jacob, Robin; Bloom, Howard; Xu, Zeyu – Educational Evaluation and Policy Analysis, 2012
This paper provides practical guidance for researchers who are designing and analyzing studies that randomize schools--which comprise three levels of clustering (students in classrooms in schools)--to measure intervention effects on student academic outcomes when information on the middle level (classrooms) is missing. This situation arises…
Descriptors: Educational Research, Educational Researchers, Research Methodology, Multivariate Analysis
New Empirical Evidence for the Design of Group Randomized Trials in Education
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Jacob, Robin; Zhu, Pei; Bloom, Howard – Journal of Research on Educational Effectiveness, 2010
This article provides practical guidance for researchers who are designing studies that randomize groups to measure the impacts of educational interventions. The article (a) provides new empirical information about the values of parameters that influence the precision of impact estimates (intraclass correlations and R[superscript 2] values) and…
Descriptors: Research Design, Research Methodology, Educational Research, Intervention
Empirical Issues in the Design of Group-Randomized Studies to Measure the Effects of Interventions for Children. MDRC Working Papers on Research Methodology
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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