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Application of Item Response Theory Models for Intensive Longitudinal Data

By Donald Hedeker, Robin J. Mermelstein and Brian R. Flay

Abstract

Item Response Theory (IRT) models, also called latent trait models, have been extensively used in educational testing and psychological measurement. While an IRT model is essentially a mixed-effects regression model for longitudinal categorical data, use of IRT has been somewhat limited outside of education and psychology. In this chapter, we describe IRT models and some key developments in the IRT literature, and illustrate their application for intensive longitudinal data. In particular, we relate IRT models to mixed models and indicate how software for the latter can be used to estimate the IRT model parameters. Using Ecological Momentary Assessment (EMA) data from a study of adolescent smoking, we describe how IRT models can be used to address key questions in smoking research. 1

Year: 2013
OAI identifier: oai:CiteSeerX.psu:10.1.1.352.5454
Provided by: CiteSeerX
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