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

Robert A. Henson, Jonathan L. Templin, John T. Willse

📄 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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