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Magis, David; Facon, Bruno – Educational and Psychological Measurement, 2013
Item purification is an iterative process that is often advocated as improving the identification of items affected by differential item functioning (DIF). With test-score-based DIF detection methods, item purification iteratively removes the items currently flagged as DIF from the test scores to get purified sets of items, unaffected by DIF. The…
Descriptors: Test Bias, Test Items, Statistical Analysis, Error of Measurement
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Palardy, Gregory J. – Educational and Psychological Measurement, 2010
This article examines the multilevel linear crossed random effects growth model for estimating teacher and school effects from repeated measurements of student achievement. Results suggest that even a small degree of unmodeled nonlinearity can result in a substantial upward bias in the magnitude of the teacher effect, which raises concerns about…
Descriptors: Computation, Models, Statistical Analysis, Academic Achievement