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Andrew D. Ho
Item-Level Heterogeneity in Value Added Models: Implications for Reliability, Cross-Study Comparability, and Effect Sizes
Topics: MethodsTags: Assessment, EfficacyValue added models (VAMs) attempt to estimate the causal effects of teachers and schools on student test scores. We apply Generalizability Theory to show how estimated VA effects depend upon the selection of test items. Standard VAMs estimate causal effects on the items that are included on the… more →
Heterogeneity of item-treatment interactions masks complexity and generalizability in randomized controlled trials
Ishita Ahmed, Masha Bertling, Lijin Zhang, Andrew D. Ho, Prashant Loyalka, Hao Xue, Scott Rozelle, Benjamin W. Domingue.Topics: MethodsResearchers use test outcomes to evaluate the effectiveness of education interventions across numerous randomized controlled trials (RCTs). Aggregate test data—for example, simple measures like the sum of correct responses—are compared across treatment and control groups to determine whether an… more →
Ordinal Approaches to Decomposing Between-group Test Score Disparities
Topics: MethodsTags: Assessment, EquityThe estimation of test score “gaps” and gap trends plays an important role in monitoring educational inequality. Researchers decompose gaps and gap changes into within- and between-school portions to generate evidence on the role schools play in shaping these inequalities. However, existing… more →
How Can Released State Test Items Support Interim Assessment Purposes in an Educational Crisis?
Tags: Covid-19 recovery, AssessmentState testing programs regularly release previously administered test items to the public. We provide an open-source recipe for state, district, and school assessment coordinators to combine these items flexibly to produce scores linked to established state score scales. These would enable… more →