The DOI matches its Crossref record; 7 of the 7 references it cites were found in a registry or an index.
A nonlinear mixed model framework for item response theory.
Abstract
Mixed models take the dependency between observations based on the same cluster into account by introducing 1 or more random effects. Common item response theory (IRT) models introduce latent person variables to model the dependence between responses of the same participant. Assuming a distribution for the latent variables, these IRT models are formally equivalent with nonlinear mixed models. It is shown how a variety of IRT models can be formulated as particular instances of nonlinear mixed models. The unifying framework offers the advantage that relations between different IRT models become explicit and that it is rather straightforward to see how existing IRT models can be adapted and extended. The approach is illustrated with a self-report study on anger.
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A Rasch model for partial credit scoring
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Linear Mixed Models for Longitudinal Data
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Estimation of Latent Ability Using a Response Pattern of Graded Scores
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Cited by
Strobl, C., Malley, J., & Tutz, G. (2009) · Psychological Methods · doi:10.1037/a0016973 · Cited by 2,583
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Blömeke, S., Gustafsson, J.-E., & Shavelson, R. J. (2015) · Zeitschrift für Psychologie · doi:10.1027/2151-2604/a000194 · Cited by 1,205
A conceptual and psychometric framework for distinguishing categories and dimensions
De Boeck, P., Wilson, M., & Acton, G. S. (2005) · Psychological Review · doi:10.1037/0033-295x.112.1.129 · Cited by 131
Evaluation Examples are not Equally Informative: How should that change NLP Leaderboards?
Rodriguez, P., Barrow, J., Hoyle, A. M., Lalor, J. P., Jia, R., & Boyd-Graber, J. (2021) · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers) · doi:10.18653/v1/2021.acl-long.346 · Cited by 47
Assessing Differential Prediction of College Grades by Race/Ethnicity with a Multilevel Model
Culpepper, S. A., & Davenport, E. C. (2009) · Journal of Educational Measurement · doi:10.1111/j.1745-3984.2009.00079.x · Cited by 35
Metadata
- Authors
- Rijmen, F., Tuerlinckx, F., De Boeck, P., & Kuppens, P.
- Venue
- Psychological Methods
- Published
- 2003-06
- Volume
- 8
- Issue
- 2
- Pages
- 185-205
- ISSN
- 1082-989X (ISSN-L)
- 1939-1463
- OpenAlex
- W2053752283
- Cited by
- 238
- References
- 7
- FWCI
- 19.78
- Type
- journal article
- Language
- en
- Open access
- closed
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