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Direct linkJoshua B. Gilbert; Luke W. Miratrix; Mridul Joshi; Benjamin W. Domingue – Journal of Educational and Behavioral Statistics, 2025
Analyzing heterogeneous treatment effects (HTEs) plays a crucial role in understanding the impacts of educational interventions. A standard practice for HTE analysis is to examine interactions between treatment status and preintervention participant characteristics, such as pretest scores, to identify how different groups respond to treatment.…
Descriptors: Causal Models, Item Response Theory, Statistical Inference, Psychometrics
Download full textJoshua B. Gilbert; Luke W. Miratrix; Mridul Joshi; Benjamin W. Domingue – Annenberg Institute for School Reform at Brown University, 2024
Analyzing heterogeneous treatment effects (HTE) plays a crucial role in understanding the impacts of educational interventions. A standard practice for HTE analysis is to examine interactions between treatment status and pre-intervention participant characteristics, such as pretest scores, to identify how different groups respond to treatment.…
Descriptors: Causal Models, Item Response Theory, Statistical Inference, Psychometrics
Yli-Piipari, S.; Layne, T.; McCollins, T.; Knox, T. – JTRM in Kinesiology, 2016
The aim of the study was to examine the effect of a 4-week classroom physical activity break intervention on middle school students' health-related physical fitness. The study was a randomized controlled trial with students assigned to the experiment and control conditions. A convenience sample comprised 94 adolescents (experiment group n = 52;…
Descriptors: Middle School Students, Physical Activity Level, Intervention, Physical Fitness
