Corpus ID: 17966039

Modeling local item dependence with the hierarchical generalized linear model.

  title={Modeling local item dependence with the hierarchical generalized linear model.},
  author={Hong Jiao and Shudong Wang and Akihito Kamata},
  journal={Journal of applied measurement},
  volume={6 3},
Local item dependence (LID) can emerge when the test items are nested within common stimuli or item groups. This study proposes a three-level hierarchical generalized linear model (HGLM) to model LID when LID is due to such contextual effects. The proposed three-level HGLM was examined by analyzing simulated data sets and was compared with the Rasch-equivalent two-level HGLM that ignores such a nested structure of test items. The results demonstrated that the proposed model could capture LID… Expand

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