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Joshua 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
Fox, Connie; Zhu, Weimo; Park, Youngsik; Fisette, Jennifer L.; Graber, Kim C.; Dyson, Ben; Avery, Marybell; Franck, Marian; Placek, Judith H.; Rink, Judy; Raynes, De – Measurement in Physical Education and Exercise Science, 2011
In addition to validity and reliability evidence, other psychometric qualities of the PE Metrics assessments needed to be examined. This article describes how those critical psychometric issues were addressed during the PE Metrics assessment bank construction. Specifically, issues included (a) number of items or assessments needed, (b) training…
Descriptors: Measures (Individuals), Psychometrics, Interrater Reliability, Training
Alonzo, Julie; Lai, Cheng Fei; Tindal, Gerald – Behavioral Research and Teaching, 2009
In this technical report, we describe the development and piloting of a series of mathematics progress monitoring measures intended for use with students in grades kindergarten through eighth grade. These measures, available as part of easyCBM[TM], an online progress monitoring assessment system, were developed in 2007 and 2008 and administered to…
Descriptors: Grade 2, General Education, Response to Intervention, Access to Education