Luke W. Miratrix
Disentangling Person-Dependent and Item-Dependent Causal Effects: Applications of Item Response Theory to the Estimation of Treatment Effect Heterogeneity
Topics: MethodsAnalyzing heterogeneous treatment effects (HTE) plays a crucial role in understanding the impacts of educational interventions.
Leveraging Item Parameter Drift to Assess Transfer Effects in Vocabulary Learning
Topics: MethodsLongitudinal 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… more →
The Causal Impact of Charter Schools on Private Tutoring Prevalence
Topics: School ChoiceGreater school choice leads to lower demand for private tutoring according to various international studies, but this has not been explicitly tested for the U.S. context. To estimate the causal effect of charter school appearances on neighboring private tutoring prevalence, we employ a… more →
Modeling Item-Level Heterogeneous Treatment Effects with the Explanatory Item Response Model: Leveraging Online Formative Assessments to Pinpoint the Impact of Educational Interventions
Topics: MethodsTags: AssessmentAnalyses that reveal how treatment effects vary allow researchers, practitioners, and policymakers to better understand the efficacy of educational interventions. In practice, however, standard statistical methods for addressing Heterogeneous Treatment Effects (HTE) fail to address the HTE that… more →
Bridging human and machine scoring in experimental assessments of writing: tools, tips, and lessons learned from a field trial in education
Topics: MethodsIn a randomized trial that collects text as an outcome, traditional approaches for assessing treatment impact require that each document first be manually coded for constructs of interest by human raters. An impact analysis can then be conducted to compare treatment and control groups, using the… more →
Characterizing Cross-Site Variation in Local Average Treatment Effects in Multisite Regression Discontinuity Design Contexts with an Application to Massachusetts High School Exit Exam
Topics: MethodsTags: Assessment, High schoolsIn multisite experiments, we can quantify treatment effect variation with the cross-site treatment effect variance. However, there is no standard method for estimating cross-site treatment effect variance in multisite regression discontinuity designs (RDD). This research rectifies this gap in… more →