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- Zachary Himmelsbach
Zachary Himmelsbach
Why Fadeout is (Probably) Worse Than We Think: Adjusting for Correlated Sampling Error in Meta-Analyses of Behavioral Interventions
Topics: MethodsThe extent to which intervention effects persist or fade over time is an important question in the behavioral sciences. In meta-analysis, persistence is typically assessed by meta-regressing effect sizes at followup on effect sizes at endline. While common, the standard meta-regression does not… more →
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 →
A Quantitative Study of Mathematical Language in Upper Elementary Classrooms
Topics: MethodsThis study provides the first large-scale quantitative exploration of mathematical language use in upper elementary U.S. classrooms. Our approach employs natural language processing techniques to describe variation in teachers’ and students’ use of mathematical language in 1,657 fourth and fifth… more →