4.4 Article

Defining a Family of Cognitive Diagnosis Models Using Log-Linear Models with Latent Variables

Journal

PSYCHOMETRIKA
Volume 74, Issue 2, Pages 191-210

Publisher

SPRINGER
DOI: 10.1007/s11336-008-9089-5

Keywords

cognitive diagnosis models; log-linear latent class models; latent class models

Funding

  1. NSF [SES-0648861, SES-0750859]

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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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