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Health Education Research Advance Access first published online on October 3, 2006
This version published online on October 23, 2006
Health Education Research, doi:10.1093/her/cyl086
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© 2006 The Author(s). This is an Open Access article distributed under the terms of the Creative Commons Attribution Non-Commercial License (http://creativecommons.org/licenses/by-nc/2.0/uk/) which permits unrestricted non-commercial use, distribution, and reproduction in any medium, provided the original work is properly cited.
Received October 20, 2005
Accepted July 19, 2006

Original article

Introducing multidimensional item response modeling in the behavioral sciences

Diane D. Allen 1 and Mark Wilson 1 *

1 Graduate School of Education, University of California, Berkeley, CA 94720, USA

* To whom correspondence should be addressed.
Mark Wilson, E-mail: markw{at}calmail.berkeley.edu


  Abstract

When measuring participant-reported attitudes and outcomes in the behavioral sciences, there are many instances when the common measurement assumption of unidimensionality does not hold. In these cases, the application of a multidimensional measurement model is both technically appropriate and potentially advantageous in substance. In this paper, we illustrate the usefulness of a multidimensional approach to measurement using an empirical example taken from the Behavior Change Consortium. Data from the Treatment Self-Regulation Questionnaire have been analyzed to investigate whether self-regulation can be regarded as a single construct, or if it has multiple dimensions based on the type of regulation or motivation that participants say helps them consider an improvement in healthy behavior. Comparison with consecutive analyses shows the advantages of multidimensional measurement for interpreting participant-reported data.

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