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Laura J. Bonnett; Kerry Dwan; Susanna Dodd – Teaching Statistics: An International Journal for Teachers, 2024
We describe an activity that introduces school-aged children to clinical trials, that presents the terminology associated with randomized controlled trials, and that reveals how the findings from clinical trials are applicable to everyone everywhere.
Descriptors: Elementary School Students, Secondary School Students, Children, Clinical Experience
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Paul Thompson; Kaydee Owen; Richard P. Hastings – International Journal of Research & Method in Education, 2024
Traditionally, cluster randomized controlled trials are analyzed with the average intervention effect of interest. However, in populations that contain higher degrees of heterogeneity or variation may differ across different values of a covariate, which may not be optimal. Within education and social science contexts, exploring the variation in…
Descriptors: Randomized Controlled Trials, Intervention, Mathematics Education, Mathematics Skills
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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
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Andrew P. Jaciw – American Journal of Evaluation, 2025
By design, randomized experiments (XPs) rule out bias from confounded selection of participants into conditions. Quasi-experiments (QEs) are often considered second-best because they do not share this benefit. However, when results from XPs are used to generalize causal impacts, the benefit from unconfounded selection into conditions may be offset…
Descriptors: Elementary School Students, Elementary School Teachers, Generalization, Test Bias
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Heidi J. Syväoja; Sirpa Sneck; Tuomas Kukko; Piritta Asunta; Pekka Räsänen; Helena Viholainen; Janne Kulmala; Harto Hakonen; Tuija H. Tammelin – British Journal of Educational Psychology, 2024
Background: Physical activity (PA) may benefit academic performance, but it is unclear what kind of classroom-based PA is optimal for learning. Aim: We studied the effects of physically active maths lessons on children's maths performance and maths-related effects, and whether gender and previous mathematical or motor skills modify these effects.…
Descriptors: Elementary School Students, Elementary School Mathematics, Elementary School Teachers, Physical Activities
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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
Douglas D. Ready; Sierra G. McCormick; Rebecca J. Shmoys – Annenberg Institute for School Reform at Brown University, 2024
This paper describes a 12-week cluster randomized controlled trial that examined the efficacy of BookNook, a virtual tutoring platform focused on reading. Cohorts of first- through fourth-grade students attending six Rocketship public charter schools in Northern California were randomly assigned within grades to receive BookNook. Intent-to-Treat…
Descriptors: Computer Assisted Instruction, Instructional Effectiveness, Tutoring, Reading Achievement
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Katrina J. Debnam; Chelsea A. Kaihoi; Elise T. Pas; Catherine P. Bradshaw – Grantee Submission, 2024
The present study reports findings from a school-level randomized controlled trial (RCT) of the Double Check cultural responsivity and student engagement model. Consistent with the focus of this special issue on the conceptual and methodological advances for understanding contextual, identity, and cultural effects in intervention research, we…
Descriptors: Culturally Relevant Education, Learner Engagement, Randomized Controlled Trials, Middle Schools
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
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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