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Traditional vs Intersectional DIF Analysis: Considerations and a Comparison Using State Testing Data
Tony Albano; Brian F. French; Thao Thu Vo – Applied Measurement in Education, 2024
Recent research has demonstrated an intersectional approach to the study of differential item functioning (DIF). This approach expands DIF to account for the interactions between what have traditionally been treated as separate grouping variables. In this paper, we compare traditional and intersectional DIF analyses using data from a state testing…
Descriptors: Test Items, Item Analysis, Data Use, Standardized Tests
Klugman, Emma M.; Ho, Andrew D. – Annenberg Institute for School Reform at Brown University, 2020
State 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 estimation of student score distributions and achievement…
Descriptors: Test Items, State Programs, Testing Programs, Scores
Klugman, Emma M.; Ho, Andrew D. – Educational Measurement: Issues and Practice, 2020
State 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 estimation of student score distributions and achievement…
Descriptors: Testing Programs, State Programs, Test Items, Scores
Xue, Kang; Huggins-Manley, Anne Corinne; Leite, Walter – Educational and Psychological Measurement, 2022
In data collected from virtual learning environments (VLEs), item response theory (IRT) models can be used to guide the ongoing measurement of student ability. However, such applications of IRT rely on unbiased item parameter estimates associated with test items in the VLE. Without formal piloting of the items, one can expect a large amount of…
Descriptors: Virtual Classrooms, Artificial Intelligence, Item Response Theory, Item Analysis

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