The DOI matches its Crossref record; 23 of the 23 references it cites were found in a registry or an index.
Defining a Family of Cognitive Diagnosis Models Using Log-Linear Models with Latent Variables
Abstract
This paper uses log-linear models with latent variables (Hagenaars, in Loglinear Models with Latent Variables, 1993) to define a family of cognitive diagnosis models. In doing so, the relationship between many common models is explicitly defined and discussed. In addition, because the log-linear model with latent variables is a general model for cognitive diagnosis, new alternatives to modeling the functional relationship between attribute mastery and the probability of a correct response are discussed.
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Cites
A new look at the statistical model identification
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POSTERIOR PREDICTIVE ASSESSMENT OF MODEL FITNESS VIA REALIZED DISCREPANCIES
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Measurement of psychological disorders using cognitive diagnosis models.
Templin, J. L., & Henson, R. A. (2006) · Psychological Methods · doi:10.1037/1082-989x.11.3.287 · Cited by 651
Self-citationHigher-Order Latent Trait Models for Cognitive Diagnosis
de la Torre, J., & Douglas, J. A. (2004) · Psychometrika · doi:10.1007/bf02295640 · Cited by 626
Cited by
The Generalized DINA Model Framework
de la Torre, J. (2011) · Psychometrika · doi:10.1007/s11336-011-9207-7 · Cited by 772
Item Response Theory: A Statistical Framework for Educational and Psychological Measurement
Chen, Y., Li, X., Liu, J., & Ying, Z. (2025) · Statistical Science · doi:10.1214/23-sts896 · Cited by 30
Metadata
- Authors
- Henson, R. A., Templin, J. L., & Willse, J. T.
- Venue
- Psychometrika
- Publisher
- Cambridge University Press (CUP)
- Published
- 2009-06
- Volume
- 74
- Issue
- 2
- Pages
- 191-210
- ISSN
- 0033-3123 (ISSN-L)
- 1860-0980
- OpenAlex
- W2032062924
- Cited by
- 559
- References
- 23
- FWCI
- 8.71
- Type
- journal article
- Language
- en
- Open access
- closed
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