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Activity Number:
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169
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Type:
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Topic Contributed
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Date/Time:
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Tuesday, August 13, 2002 : 8:30 AM to 10:20 AM
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Sponsor:
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Section on Health Policy Statistics*
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| Abstract - #300712 |
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Title:
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Item Response Theory and its Application to Health Outcomes Measurement
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Author(s):
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Bryce Reeve*+
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Affiliation(s):
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National Cancer Institute
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Address:
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6130 Executive Blvd, MSC 7344, EPN 4005, Bethesda, Maryland, 20892-7344, USA
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Keywords:
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item response theory ; health outcomes measurement ; psychometrics
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Abstract:
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There is a great need in health outcomes measurement to develop instruments that accurately measure a patient's function without the burden of responding to many questions. This need for psychometrically-sound and clinically meaningful measures calls for better analytical tools beyond the methods available in traditional measurement theory. Applications of item response theory (IRT) modeling in health outcomes measurement have increased considerably because of its utility in instrument development and evaluation, scale scoring, identification of item bias, instrument linking, and computerized adaptive testing. IRT is a model-based measurement in which trait level estimates (e.g., level of physical functioning or level of depression) depend on both persons' responses and on the properties of the questions that were administered. This presentation will discuss the theory and basics of IRT models and applications of these models to health outcomes measurement.
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- The address information is for the authors that have a + after their name.
- Authors who are presenting talks have a * after their name.
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