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Joshua B. Gilbert; Zachary Himmelsbach; Luke W. Miratrix; Andrew D. Ho; Benjamin W. Domingue – Annenberg Institute for School Reform at Brown University, 2025
Value 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 test. Generalizability demands consideration of how…
Descriptors: Value Added Models, Reliability, Effect Size, Test Items