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Trisha H. Borman; Geoffrey D. Borman; So Jung Park; Bo Zhu; Scott Houghton – Journal of Research on Educational Effectiveness, 2024
We present findings across three randomized trials of "Descubriendo la Lectura" (DLL), an intervention designed to improve literacy skills of Spanish-speaking first graders struggling with reading. DLL is a one-to-one Spanish-language literacy program lasting 12-20 weeks offered to a school's lowest performing emerging bilingual first…
Descriptors: Literacy, Elementary School Students, Grade 1, Spanish
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
Joshua 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
Joshua B. Gilbert; James S. Kim; Luke W. Miratrix – Annenberg Institute for School Reform at Brown University, 2024
Longitudinal models of individual growth typically emphasize between-person predictors of change but ignore how growth may vary "within" persons because each person contributes only one point at each time to the model. In contrast, modeling growth with multi-item assessments allows evaluation of how relative item performance may shift…
Descriptors: Vocabulary Development, Item Response Theory, Test Items, Student Development
Joshua B. Gilbert; James S. Kim; Luke W. Miratrix – Applied Measurement in Education, 2024
Longitudinal models typically emphasize between-person predictors of change but ignore how growth varies "within" persons because each person contributes only one data point at each time. In contrast, modeling growth with multi-item assessments allows evaluation of how relative item performance may shift over time. While traditionally…
Descriptors: Vocabulary Development, Item Response Theory, Test Items, Student Development
Taylor Lesner; Ben Clarke; Derek Kosty; Geovanna Rodriguez; Elizabeth L. Budd; Christian Doabler – Grantee Submission, 2025
This secondary analysis of data from a randomized control trial of an early mathematics intervention, ROOTS, explored whether patterns of intervention response were best categorized by the typical response/non-response binary or a more complex framework with additional response profiles. Participants included kindergarten students at risk for…
Descriptors: Mathematics Instruction, Response to Intervention, At Risk Students, Kindergarten