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Direct linkFujimoto, Ken A. – Journal of Educational Measurement, 2020
Multilevel bifactor item response theory (IRT) models are commonly used to account for features of the data that are related to the sampling and measurement processes used to gather those data. These models conventionally make assumptions about the portions of the data structure that represent these features. Unfortunately, when data violate these…
Descriptors: Bayesian Statistics, Item Response Theory, Achievement Tests, Secondary School Students
Tijmstra, Jesper; Bolsinova, Maria; Liaw, Yuan-Ling; Rutkowski, Leslie; Rutkowski, David – Journal of Educational Measurement, 2020
Although the root-mean squared deviation (RMSD) is a popular statistical measure for evaluating country-specific item-level misfit (i.e., differential item functioning [DIF]) in international large-scale assessment, this paper shows that its sensitivity to detect misfit may depend strongly on the proficiency distribution of the considered…
Descriptors: Test Items, Goodness of Fit, Probability, Accuracy
Chauncey, Caroline T., Ed. – Harvard Education Press, 2010
"Harvard Education Letter" is published bimonthly at the Harvard Graduate School of Education. This issue of "Harvard Education Letter" contains the following articles: (1) Online Testing, Version 1.0: Oregon's Adaptive Computer-Based Accountability Test Offers a Peek at a Brave New Future (Robert Rothman); (2) Beyond…
Descriptors: Family Programs, Homosexuality, Educational Policy, Sexual Identity
