ITEM METADATA RECORD
Title: The random weights linear logistic test model
Authors: Rijmen, Frank ×
De Boeck, Paul #
Issue Date: Sep-2002
Publisher: Sage publications inc
Series Title: Applied psychological measurement vol:26 issue:3 pages:271-285
Abstract: A generalization of the linear logistic test model of G. H. Fischer (1973), the random weights linear logistic test model, is presented. The generalization consists of a random coefficient contribution of item stimulus features to the item difficulties, with the coefficients varying over persons. Whereas in the common linear logistic test model, only the intercept (ability) is considered random over persons, in the random weights linear logistic test model, also some or all of the item stimulus features are considered as having random coefficients. It turns out that the random weights linear logistic test model is a special case of the multidimensional random coefficient multinomial logit model of Adams, Wilson, and Wang (1997). The model is applied to a deductive reasoning task.
URI: 
ISSN: 0146-6216
Publication status: published
KU Leuven publication type: IT
Appears in Collections:Onderzoeksgroep hogere cognitie en individuele verschillen (-)
× corresponding author
# (joint) last author

Files in This Item:

There are no files associated with this item.

Request a copy

 




All items in Lirias are protected by copyright, with all rights reserved.

© Web of science