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Ding, Peng; Feller, Avi; Miratrix, Luke – Society for Research on Educational Effectiveness, 2015
Recent literature has underscored the critical role of treatment effect variation in estimating and understanding causal effects. This approach, however, is in contrast to much of the foundational research on causal inference. Linear models, for example, classically rely on constant treatment effect assumptions, or treatment effects defined by…
Descriptors: Causal Models, Randomized Controlled Trials, Statistical Analysis, Evaluation Methods