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A General Item Response Theory Model for Unfolding Unidimensional Polytomous Responses

Roberts, James S., Donoghue, John R., Laughlin, James E.·2000·Applied Psychological Measurement

Abstract

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.

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Metadata

Authors
Roberts, J. S., Donoghue, J. R., & Laughlin, J. E.
Venue
Applied Psychological Measurement
Published
2000-03
Volume
24
Issue
1
Pages
3-32
ISSN
  • 0146-6216 (ISSN-L)
  • 1552-3497
OpenAlex
W2020105843
Cited by
320
References
2
FWCI
9.37
Type
journal article
Language
en
Open access
closed

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CoChat. (2026). Citation check: A General Item Response Theory Model for Unfolding Unidimensional Polytomous Responses. https://app.cochat.ai/papers/10.1177/01466216000241001
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Roberts, J. S., Donoghue, J. R., & Laughlin, J. E. (2000). A General Item Response Theory Model for Unfolding Unidimensional Polytomous Responses. Applied Psychological Measurement. https://doi.org/10.1177/01466216000241001

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Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.