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Item response theory and clinical measurement
Steven P Reise1, Niels G Waller
1Department of Psychology, University of California, Los Angeles, CA 90095, USA. reise@psych.ucla.edu
Annual Review of Clinical Psychology
|November 4, 2008
Summary
Item response theory (IRT) offers valuable tools for analyzing clinical measures, aiding in scale linking and adaptive testing. Understanding differences between cognitive and clinical measures is key for future IRT modeling in psychological research.
Area of Science:
- Psychometrics
- Clinical Psychology
- Educational Measurement
Background:
- Item response theory (IRT) is a statistical framework for analyzing the relationship between item responses and underlying latent traits.
- Clinical measures, such as patient-reported outcomes and diagnostic assessments, require rigorous psychometric evaluation.
- Existing IRT applications have primarily focused on cognitive and educational assessments.
Purpose of the Study:
- To review the application of item response theory (IRT) in the psychometric evaluation of clinical measures.
- To explore the utility of IRT for scale linking, computerized adaptive testing, and differential item functioning in clinical research.
- To discuss the unique characteristics of clinical measures relevant to IRT modeling.
Main Methods:
- Systematic review of studies employing item response theory (IRT) for clinical measures.
- Analysis of IRT applications in scale linking, computerized adaptive testing (CAT), and differential item functioning (DIF) within clinical contexts.
- Examination of the psychometric properties of IRT-derived trait scores for clinical assessments.
Main Results:
- IRT has been successfully applied to clinical measures for scale linking, CAT, and DIF analysis.
- Notable differences exist between cognitive and clinical measures, impacting IRT model assumptions and interpretations.
- The metric of the latent trait and individual differences in response behaviors require further investigation in clinical IRT.
Conclusions:
- Item response theory (IRT) provides a robust framework for enhancing the psychometric properties of clinical measures.
- Future research should focus on understanding the latent trait metric and psychological processes influencing item responses in clinical populations.
- Tailored IRT modeling approaches are necessary to account for the unique characteristics of clinical assessments.
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