This Article Full Text (OnlineFirst PDF) Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Scopus Google Scholar Articles by Johnson, T. R. Articles by Bolt, D. M. Social Bookmarking                         What's this?

On the Use of Factor-Analytic Multinomial Logit Item Response Models to Account for Individual Differences in Response Style

^* To whom correspondence should be addressed. E-mail: trjohns{at}uidaho.edu.

	Abstract

Multidimensional item response models are usually implemented to model the relationship between item responses and two or more traits of interest. We show how multidimensional multinomial logit item response models can also be used to account for individual differences in response style. This is done by specifying a factor-analytic model for latent responses at the category level. This permits traits and response style to be separated into separate but possibly correlated factors when properly identified by the factor structure. Special cases of this model can be viewed as generalizations of some unidimensional multinomial logit item response models. In this article, we describe and demonstrate the specification and implementation of these models to account for individual differences in response style that would otherwise compromise the validity of the measurement model.

First published on August 11, 2009
Journal of Educational and Behavioral Statistics 2009, doi:10.3102/1076998609340529


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?