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

Paper Title:
Defining a Family of Cognitive Diagnosis Models Using Log Linear Models with Latent Variables
Journal Link:
http://www.springerlink.com/content/x82844151581l059/?p=502304bf5e5f4855ae6927c8f4a3134f&pi=0
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.
Reference:
Henson, R., Templin, J., & Willse, J. (2009). Defining a family of cognitive diagnosis models using log linear models with latent variables. Psychometrika, 74, 191-210.