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Direct linkSchochet, Peter Z. – Journal of Educational and Behavioral Statistics, 2013
This article examines the estimation of two-stage clustered designs for education randomized control trials (RCTs) using the nonparametric Neyman causal inference framework that underlies experiments. The key distinction between the considered causal models is whether potential treatment and control group outcomes are considered to be fixed for…
Descriptors: Computation, Causal Models, Statistical Inference, Nonparametric Statistics
Wilde, Elizabeth Ty; Hollister, Robinson – Journal of Policy Analysis and Management, 2007
In recent years, propensity score matching (PSM) has gained attention as a potential method for estimating the impact of public policy programs in the absence of experimental evaluations. In this study, we evaluate the usefulness of PSM for estimating the impact of a program change in an educational context (Tennessee's Student Teacher Achievement…
Descriptors: Public Policy, Achievement Tests, Scores, Class Size
