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Andrew P. Jaciw – American Journal of Evaluation, 2025
By design, randomized experiments (XPs) rule out bias from confounded selection of participants into conditions. Quasi-experiments (QEs) are often considered second-best because they do not share this benefit. However, when results from XPs are used to generalize causal impacts, the benefit from unconfounded selection into conditions may be offset…
Descriptors: Elementary School Students, Elementary School Teachers, Generalization, Test Bias
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)
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)

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