Defining a Family of Cognitive Diagnosis Models Using Log-Linear Models with Latent Variables |
| |
Authors: | Robert A. Henson Jonathan L. Templin John T. Willse |
| |
Affiliation: | (1) The University of North Carolina at Greensboro, Greensboro, USA;(2) The University of North Carolina at Greensboro, Athens, USA |
| |
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 |
本文献已被 SpringerLink 等数据库收录! |
|