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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
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
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Ferjan Ramírez, Naja; Lytle, Sarah Roseberry; Fish, Melanie; Kuhl, Patricia K. – Developmental Science, 2019
Previous studies reveal an association between particular features of parental language input and advances in children's language learning. However, it is not known whether parent coaching aimed to enhance specific input components would (a) successfully increase these components in parents' language input and (b) result in concurrent increases in…
Descriptors: Parents, Coaching (Performance), Randomized Controlled Trials, Child Language
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What Works Clearinghouse, 2014
Attrition occurs when members of the initial research sample are not part of the final analysis sample, such as due to missing data or leaving the study. Both the overall sample attrition and the differences in attrition between the groups can affect the statistical equivalence of the sample and create potential for bias. The WWC has given careful…
Descriptors: Attrition (Research Studies), Statistical Bias, Randomized Controlled Trials, Models
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Garet, Michael S.; Wayne, Andrew J.; Brown, Seth; Rickles, Jordan; Song, Mengli; Manzeske, David – National Center for Education Evaluation and Regional Assistance, 2017
Educator performance evaluation systems are a potential tool for improving student achievement by increasing the effectiveness of the educator workforce. For example, recent research suggests that giving more frequent, specific feedback on classroom practice may lead to improvements in teacher performance and student achievement. This report is…
Descriptors: Performance Based Assessment, Feedback (Response), School Districts, Classroom Techniques
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Garet, Michael S.; Wayne, Andrew J.; Brown, Seth; Rickles, Jordan; Song, Mengli; Manzeske, David – National Center for Education Evaluation and Regional Assistance, 2017
Educator performance evaluation systems are a potential tool for improving student achievement by increasing the effectiveness of the educator workforce. For example, recent research suggests that giving more frequent, specific feedback on classroom practice may lead to improvements in teacher performance and student achievement. This report is…
Descriptors: Performance Based Assessment, Feedback (Response), School Districts, Classroom Techniques
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PDF on ERIC Download full text
What Works Clearinghouse, 2013
Attrition occurs when members of the initial research sample are not part of the final analysis sample, such as due to missing data or leaving the study. Both the overall sample attrition and the differences in attrition between the groups can affect the statistical equivalence of the sample and create potential for bias. The WWC has given careful…
Descriptors: Attrition (Research Studies), Statistical Bias, Randomized Controlled Trials, Models
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Aydin, Burak; Leite, Walter L.; Algina, James – Educational and Psychological Measurement, 2016
We investigated methods of including covariates in two-level models for cluster randomized trials to increase power to detect the treatment effect. We compared multilevel models that included either an observed cluster mean or a latent cluster mean as a covariate, as well as the effect of including Level 1 deviation scores in the model. A Monte…
Descriptors: Error of Measurement, Predictor Variables, Randomized Controlled Trials, Experimental Groups
Wanzek, Jeanne; Petscher, Yaacov; Al Otaiba, Stephanie; Kent, Shawn; Christopher, Schatschneider; Haynes, Martha; Rivas, Brenna K.; Jones, Francesca G. – Grantee Submission, 2016
The present study used a randomized control trial to examine the effects of a widely-used multi-component Tier 2 type intervention, Passport to Literacy, on the reading ability of 221 fourth graders who initially scored at or below the 30th percentile in reading comprehension. Intervention was provided by research staff to groups of 4-7 students…
Descriptors: Grade 4, Reading Difficulties, Intervention, Randomized Controlled Trials
Johnson, Stacy R.; Pas, Elise T.; Bradshaw, Catherine P. – Grantee Submission, 2016
Coaching models are increasingly used in schools to enhance fidelity and effectiveness of evidence-based interventions, yet little is known about the relationship between the coach and teacher (i.e., coach-teacher alliance), which may indirectly enhance teacher and student outcomes through improved implementation quality. There is also limited…
Descriptors: Coaching (Performance), Interpersonal Relationship, Program Implementation, Evidence Based Practice
Sparapani, Nicole J. – ProQuest LLC, 2013
Few studies have examined how instructor variables relate to student performance measures for individuals with autism spectrum disorder (ASD). The purpose of this study was to examine instructor language and student active engagement in general and special education classrooms for students with ASD. This study included participants (n = 196…
Descriptors: Autism, Pervasive Developmental Disorders, Language Usage, Learner Engagement