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Peer reviewedKenneth A. Frank – Grantee Submission, 2025
Most randomized field experiments experience some attrition. Moreover, the extent of attrition may differ by treatment condition in systematic, non-random ways, biasing estimates of treatment effects and contributing to invalid inferences. We address concerns about non-random attrition by quantifying the conditions necessary in the attritted data…
Descriptors: Attrition (Research Studies), Randomized Controlled Trials, Inferences, Correlation
Download full textYanping Pei; Adam C. Sales; Hyeon-Ah Kang; Tiffany A. Whittaker – International Educational Data Mining Society, 2025
Fully-Latent Principal Stratification (FLPS) offers a promising approach for estimating treatment effect heterogeneity based on patterns of students' interactions with Intelligent Tutoring Systems (ITSs). However, FLPS relies on correctly specified models. In addition, multiple latent variables, such as ability, participation, and epistemic…
Descriptors: Intelligent Tutoring Systems, Measurement, Computation, Simulation
