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Cai, Li; Yang, Ji Seung; Hansen, Mark – Psychological Methods, 2011
Full-information item bifactor analysis is an important statistical method in psychological and educational measurement. Current methods are limited to single-group analysis and inflexible in the types of item response models supported. We propose a flexible multiple-group item bifactor analysis framework that supports a variety of…
Descriptors: Item Analysis, Item Response Theory, Factor Analysis, Maximum Likelihood Statistics