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The Multidimensional Random Coefficients Multinomial Logit Model, Ray Adams, M Wilson, W Wang
The Multidimensional Random Coefficients Multinomial Logit Model, Ray Adams, M Wilson, W Wang
Prof Ray Adams
A multidimensional Rasch-type item response model, the multidimensional random coefficients multinomial logit model, is presented as an extension to the Adams and Wilson (1996) random coefficients multinomial logit model. The model is developed in a form that permits generalization to the multidimensional case of a wide class of Rasch models, including the simple logistic model, Masters' partial credit model, Wilson's ordered partition model, and Fischer's linear logistic model. Moreover, the model includes several existing multidimensional models as special cases, including Whitely's multicomponent latent trait model, Andersen's multidimensional Rasch model for repeated testing, and Embretson's multidimensional Rasch model for learning and …
Multilevel Item Response Models: An Approach To Errors In Variables Regression, Ray Adams, M Wilson, Margaret Wu
Multilevel Item Response Models: An Approach To Errors In Variables Regression, Ray Adams, M Wilson, Margaret Wu
Prof Ray Adams
In this article the authors show how certain analytic problems that arise when one attempts to use latent variables as outcomes in regression analyses can be addressed by taking a multilevel perspective on item response modelling.