Item response theory and its applications to patient-reported outcomes measurement

Chih Hung Chang; Bryce B. Reeve

doi:10.1177/0163278705278275

Item response theory and its applications to patient-reported outcomes measurement

Chih Hung Chang
, Bryce B. Reeve

Research output: Contribution to journal › Review article › peer-review

109 Scopus citations

Abstract

This article provides an overview of item response theory (IRT) models and how they can be appropriately applied to patient-reported outcomes (PROs) measurement. Specifically, the following topics are discussed: (a) basics of IRT, (b) types of IRT models, (c) how IRT models have been applied to date, and (d) new directions in applying IRT to PRO measurements.

Original language	English
Pages (from-to)	264-282
Number of pages	19
Journal	Evaluation and the Health Professions
Volume	28
Issue number	3
DOIs	https://doi.org/10.1177/0163278705278275
State	Published - Sep 1 2005

Keywords

Assessment
Computerized adaptive testing
Health
Item response theory
Outcomes

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10.1177/0163278705278275

Cite this

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AB - This article provides an overview of item response theory (IRT) models and how they can be appropriately applied to patient-reported outcomes (PROs) measurement. Specifically, the following topics are discussed: (a) basics of IRT, (b) types of IRT models, (c) how IRT models have been applied to date, and (d) new directions in applying IRT to PRO measurements.

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KW - Computerized adaptive testing

KW - Health

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KW - Outcomes

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Item response theory and its applications to patient-reported outcomes measurement

Abstract

Keywords

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