Article2000

Response to Hays et al and McHorney and Cohen: Emergence of Item Response Modeling in Instrument Development and Data Analysis

152 citations0/0 files storedMedical Care

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Psychometric Methodologies and Testing Health Systems, Economic Evaluations, Quality of Life Health Education and Validation

Abstract

In summary, readers are encouraged to read carefully the IRT articles in this special issue. They provide theoretical as well as practical arguments in favor of using IRT models in the health outcomes measurement field. At the same time, readers should be aware that the IRT field is complex and software is limited and, in my judgment, not very user friendly (although some packages are better than others). In addition, sample sizes will often need to be larger than in classical measurement, at least with the more general IRT models, and applications are rarely straightforward. Considerable practical experience is needed to ensure successful applications of IRT in the development and validation of instruments for health outcomes measurement.

Citations in this library

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References

1969Statistical Theories of Mental Test Scores 1992Fundamentals of item response theory 1950Theory of Mental Tests 2000Item Response Theory and Health Outcomes Measurement in the 21st Century 2000Response to Hays et al and McHorney and Cohen: Practical Implications of Item Response Theory and Computerized Adaptive Testing 1999Innovations in Computerized Assessment 2000Equating Health Status Measures With Item Response Theory 2000Response to Hays et al and McHorney and Cohen: A Discussion of Item Response Theory and Its Applications in Health Status Assessment

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