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Fujimoto, 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