Item Response Theory and Health Outcomes Measurement in the 21st Century
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Summary
Item response theory has a number of potential advantages over classical test theory in assessing self-reported health outcomes and can be helpful in developing better health outcome measures and in assessing change over time.
- Type
- article
- Published
- 2000-09-01
- Cited by
- 876
- References
- 56
- Access
- Open access
- OpenAlex
- https://openalex.org/W1969055757
- Semantic Scholar
- https://api.semanticscholar.org/CorpusID:12387220
Keywords
Item response theory, Differential item functioning, Computerized adaptive testing, Classical test theory, Trait
References
- Quality of life measures in epilepsy
- The HIV Cost & Services Utilization Study (HCSUS) Measures of Health-Related Quality of Life
- Appropriateness measurement with polychotomous item response models and standardized indices
- Variations in the care of HIV-infected adults in the United States: results from the HIV Cost and Services Utilization Study.
- Test Theory for A New Generation of Tests
- A rasch model for partial credit scoring
- A Comparison of Item- and Person-Fit Methods of Assessing Model-Data Fit in IRT
- Nonparametric Item Analyses of the Beck Depression Inventory: Evaluating Gender Item Bias and Response Option Weights
- Traitedness and the assessment of response pattern scalability
- A two-stage estimation of structural equation models with continuous and polytomous variables.
- Fundamentals of Item Response Theory
- Interpretation of quality-of-life outcomes: issues that affect magnitude and meaning.
- The measurement of individual change.
- Latent roots of random data correlation matrices with squared multiple correlations on the diagonal: A monte carlo study
- A basis for analyzing test-retest reliability
- Item Response Theory Models and Spurious Interaction Effects in Factorial ANOVA Designs
- Evaluation of the MOS SF-36 Physical Functioning Scale (PF-10): II. Comparison of relative precision using Likert and Rasch scoring methods.
- A New Coefficient for Scalogram Analysis
- A reliability coefficient for maximum likelihood factor analysis
- Measuring Change Conventionally and Adaptively
Cited by
- Differential item functioning in a Spanish translation of the PTSD checklist: detection and evaluation of impact.
- A general measure of domain-specific quality of life and functional impairment
- Evaluating the properties of a stage-specific self-efficacy scale for physical activity using classical test theory, confirmatory factor analysis and item response modeling.
- Utilizing Rasch measurement models to develop a computer adaptive self-report of walking, climbing, and running
- Evaluation of the German Translation of the Stroke Impact Scale Using Rasch Analysis
- Vegetable parenting practices scale. Item response modeling analyses
- Evaluating Differential Item Functioning in the English General Practice Patient Survey: Comparison of South Asian and White British Subgroups
- Examining the validity of the assessment of Gender Identity Disorder : Diagnosis, self-reported psychological distress and strategy adjustment
- Impact of Pharmaceutical Care interventions in the identification and resolution of drug-related problems and on quality of life in a group of elderly outpatients in Ribeirão Preto (SP), Brazil
- Enhancing the appraisal of acute mental health crisis : the Crisis Risk and Adaptive Functioning Tool (CRAFT)
- The development and validation of a scoring system to assess postoperative morbidity following cardiac surgery:the cardiac post-operative morbidity score (C-POMS)
- Multiple perspectives of the functional status of stroke survivors at 3 months post-stroke
- Randomized controlled trials 3: Measurement and analysis of patient-reported outcomes.
- Subjective quality of vision.
- Emergence of item response modeling in instrument development and data analysis.
- Psychometric evaluation of the Insomnia Symptom Questionnaire: a self-report measure to identify chronic insomnia.
- A short tutorial on item response theory in rheumatology.
- Bayesian Item Response Theory: Statistical Inference and Power Analysis
- Response to Hays et al and McHorney and Cohen: A Discussion of Item Response Theory and Its Applications in Health Status Assessment
- Measuring workers' health and psychosocial work-environment on firm productivity
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