The DOI matches its Crossref record; 41 of the 41 references it cites were found in a registry or an index.
Generalized Latent Trait Models
Abstract
In this paper we discuss a general model framework within which manifest variables with different distributions in the exponential family can be analyzed with a latent trait model. A unified maximum likelihood method for estimating the parameters of the generalized latent trait model will be presented. We discuss in addition the scoring of individuals on the latent dimensions. The general framework presented allows, not only the analysis of manifest variables all of one type but also the simultaneous analysis of a collection of variables with different distributions. The approach used analyzes the data as they are by making assumptions about the distribution of the manifest variables directly.
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Cited by
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Metadata
- Authors
- Moustaki, I., & Knott, M.
- Venue
- Psychometrika
- Publisher
- Cambridge University Press (CUP)
- Published
- 2000-09
- Volume
- 65
- Issue
- 3
- Pages
- 391-411
- ISSN
- 0033-3123 (ISSN-L)
- 1860-0980
- OpenAlex
- W2079953459
- Cited by
- 254
- References
- 41
- FWCI
- 8.78
- Type
- journal article
- Language
- en
- Open access
- closed
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