Journal article
Defining a Family of Cognitive Diagnosis Models Using Log-Linear Models with Latent Variables
Psychometrika, Vol.74(2), pp.191-210
06/2009
DOI: 10.1007/s11336-008-9089-5
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.
Details
- Title: Subtitle
- Defining a Family of Cognitive Diagnosis Models Using Log-Linear Models with Latent Variables
- Creators
- Robert Henson - The University of North Carolina at Greensboro Greensboro USAJonathan Templin - The University of North Carolina at Greensboro Athens USAJohn Willse - The University of North Carolina at Greensboro Greensboro USA
- Resource Type
- Journal article
- Publication Details
- Psychometrika, Vol.74(2), pp.191-210
- Publisher
- Springer-Verlag; New York
- DOI
- 10.1007/s11336-008-9089-5
- ISSN
- 0033-3123
- eISSN
- 1860-0980
- Language
- English
- Date published
- 06/2009
- Academic Unit
- Psychological and Quantitative Foundations
- Record Identifier
- 9983993330902771
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