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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
Chojnacki, Gregory; Eno, Jared; Liu, Feng; Meyers, Coby; Konstantopoulos, Spyros; Miller, Shazia; van der Ploeg, Arie – Society for Research on Educational Effectiveness, 2013
Recent work that has examined the impact of what are variously called periodic, interim, benchmark, or diagnostic assessments, typically administered three or four times during a school year, has produced mixed findings. For instance, one study reported small significant effects in mathematics in grades 3-8, but not in reading (Carlson et al.,…
Descriptors: Elementary School Teachers, Teaching Methods, Educational Practices, Formative Evaluation
