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Kim, Stella Yun; Lee, Won-Chan – Applied Measurement in Education, 2023
This study evaluates various scoring methods including number-correct scoring, IRT theta scoring, and hybrid scoring in terms of scale-score stability over time. A simulation study was conducted to examine the relative performance of five scoring methods in terms of preserving the first two moments of scale scores for a population in a chain of…
Descriptors: Scoring, Comparative Analysis, Item Response Theory, Simulation
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Oliveri, Maria Elena; Lawless, Rene; Robin, Frederic; Bridgeman, Brent – Applied Measurement in Education, 2018
We analyzed a pool of items from an admissions test for differential item functioning (DIF) for groups based on age, socioeconomic status, citizenship, or English language status using Mantel-Haenszel and item response theory. DIF items were systematically examined to identify its possible sources by item type, content, and wording. DIF was…
Descriptors: Test Bias, Comparative Analysis, Item Banks, Item Response Theory
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Humphry, Stephen; Heldsinger, Sandra; Andrich, David – Applied Measurement in Education, 2014
One of the best-known methods for setting a benchmark standard on a test is that of Angoff and its modifications. When scored dichotomously, judges estimate the probability that a benchmark student has of answering each item correctly. As in most methods of standard setting, it is assumed implicitly that the unit of the latent scale of the…
Descriptors: Foreign Countries, Standard Setting (Scoring), Judges, Item Response Theory
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Demars, Christine E. – Applied Measurement in Education, 2011
Three types of effects sizes for DIF are described in this exposition: log of the odds-ratio (differences in log-odds), differences in probability-correct, and proportion of variance accounted for. Using these indices involves conceptualizing the degree of DIF in different ways. This integrative review discusses how these measures are impacted in…
Descriptors: Effect Size, Test Bias, Probability, Difficulty Level