文献名称：A General Item Response Theory Model for Unfolding Unidimensional Polytomous Responses英文摘要：

The generalized graded unfolding model (GGUM) is developed. This model allows for either binary or graded responses and generalizes previous item response models for unfolding in two useful ways. First, it implements a discrimination parameter that varies across items, which allows items to discriminate among respondents in different ways. Second, the GGUM permits response category threshold parameters to vary across items. Amarginal maximum likelihood algorithm is implemented to estimate GGUM item parameters, whereas person parameters are derived from an expected a posteriori technique. The applicability of the GGUM to common attitude testing situations is illustrated with real data on student attitudes toward abortion. Index terms: attitude measurement, generalized graded unfolding model, graded unfolding model, item response theory, Likert scale, marginal maximum likelihood, Thurstone scale, unfolding model.


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