Item response theory modeling in health outcomes measurement

Author: Reeve, Bryce B

Source: Expert Review of Pharmacoeconomics and Outcomes Research, Volume 3, Number 2, April 2003 , pp. 131-145(15)

Buy & download fulltext article:

Price: $73.00 plus tax (Refund Policy)

Abstract:

There is a great need in health outcomes research to develop instruments that accurately measure a person’s health status with minimal response burden. This need for psychometrically sound and clinically meaningful measures calls for better analytical tools beyond the methods available from traditional measurement theory. Applications of item response theory (IRT) modeling have increased considerably because of its utility for instrument development and evaluation, scale scoring, assessment of cultural equivalence, instrument linking and computerized adaptive testing. IRT models the relationship between a person’s response to a survey question and their standing on a health construct, such as fatigue or depression. This review will discuss the theory and basics of IRT models and applications of these models to health outcomes measurement.

Keywords: computer adaptive testing; differential item functioning; health outcomes; instrument evaluation; item response theory; measurement

Document Type: Research article

DOI: http://dx.doi.org/10.1586/14737167.3.2.131

Publication date: 2003-04-01

More about this publication?

Expert Review of Pharmacoeconomics & Outcomes Research provides expert commentary on cost-benefit and pharmacoeconomic issues relating to the clinical use of drugs and therapeutic approaches. Coverage includes pharmacoeconomics and quality-of-life research, therapeutic outcomes, evidence-based medicine and cost-benefit research.
Editorial Board
Information for Authors
Submit a Paper
Subscribe to this Title
Information for Advertisers
Terms & Conditions
Information for Librarians
Free Trials
ingentaconnect is not responsible for the content or availability of external websites