The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
The Essential Process in a Family of Measurement Models
Abstract
Five members of the Rasch family of latent trait models which have appeared more or less independently in the literature are brought together and identified as one model. In addition to sharing the distinguishing characteristic of the dichotomous Rasch model—separable person and item parameters and hence sufficient statistics—all five models share a common algebraic form and have as their basic element the fundamental process defined by Rasch's simple logistic expression. In these models, the sufficient statistics for person and item parameters are counts of events constructed to be indicative of the variable being measured, and the measures they enable are ‘fundamental’.
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Citations
Cites
A Rasch model for partial credit scoring
Masters, G. N. (1982) · Psychometrika · doi:10.1007/bf02296272 · Cited by 3,782
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Cited by
Comorbidity: a network perspective
Cramer, A. O. J., Waldorp, L. J., van der Maas, H. L. J., & Borsboom, D. (2010) · Behavioral and Brain Sciences · doi:10.1017/s0140525x09991567 · Cited by 1,575
Rose, M., Bjorner, J. B., Becker, J., Fries, J. F., & Ware, J. E. (2008) · Journal of Clinical Epidemiology · doi:10.1016/j.jclinepi.2006.06.025 · Cited by 503
Masters, G. N., & Wright, B. D. (1997) · Handbook of Modern Item Response Theory · doi:10.1007/978-1-4757-2691-6_6 · Cited by 281
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Metadata
- Authors
- Masters, G. N., & Wright, B. D.
- Venue
- Psychometrika
- Publisher
- Cambridge University Press (CUP)
- Published
- 1984-12
- Volume
- 49
- Issue
- 4
- Pages
- 529-544
- ISSN
- 0033-3123 (ISSN-L)
- 1860-0980
- OpenAlex
- W2064596699
- Cited by
- 159
- References
- 1
- FWCI
- 8.92
- Type
- journal article
- Language
- en
- Open access
- closed
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
