Psychometrika

, 74:191

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

  • Robert A. Henson
  • Jonathan L. Templin
  • John T. Willse
Theory and Methods

DOI: 10.1007/s11336-008-9089-5

Cite this article as:
Henson, R.A., Templin, J.L. & Willse, J.T. Psychometrika (2009) 74: 191. 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.

Keywords

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

Copyright information

© The Psychometric Society 2008

Authors and Affiliations

  • Robert A. Henson
    • 1
  • Jonathan L. Templin
    • 2
  • John T. Willse
    • 1
  1. 1.The University of North Carolina at GreensboroGreensboroUSA
  2. 2.The University of North Carolina at GreensboroAthensUSA

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