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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/cyl108
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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 September 6, 2005
Accepted August 24, 2006

Original article

Improving measurement in behavioral sciences using item response models: introducing item response models

Mark Wilson 1 *, Diane D. Allen 1, and Jun Corser Li 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}berkeley.edu


  Abstract

This paper is the first of several papers designed to demonstrate how the application of item response models in the behavioral sciences can be used to enhance the conceptual and technical toolkit of researchers and developers and to understand better the psychometric properties of psychosocial measures. The papers all use baseline data from the Behavior Change Consortium data archive. This paper begins with an introduction to item response models, including both dichotomous and polytomous versions. The concepts of respondent and item location, model interpretation, standard errors and testing model fit are introduced and described. A sample analysis based on data from the self-efficacy scale is used to illustrate the concepts and techniques.

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