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Understanding Rasch and item response theory models: applications to the estimation and validation of interval latent trait measures from responses to rating scale questionnaires
- Source :
- Ophthalmic epidemiology. 18(1)
- Publication Year :
- 2011
-
Abstract
- Background: Modern psychometric theory is now routinely used in clinical vision research, as well as other areas of health research, to measure latent health states on continuous interval scales from responses to self-report rating scale questionnaires. Two competing theories are commonly employed: Rasch theory and item response theory.Methods: Because the field is currently in transition from using traditional scoring algorithms based on classical test theory to using the more modern approaches, this article offers a tutorial review of Rasch theory and item response theory and of the analytical methods employed by the two theories to estimate and validate measures.
- Subjects :
- Psychometrics
Epidemiology
Measure (physics)
Visual Acuity
Interval (mathematics)
Validation Studies as Topic
Machine learning
computer.software_genre
Field (computer science)
Classical test theory
Rating scale
Sickness Impact Profile
Surveys and Questionnaires
Item response theory
Activities of Daily Living
Medicine
Humans
Rasch model
Models, Statistical
business.industry
Reproducibility of Results
Polytomous Rasch model
Ophthalmology
Quality of Life
Artificial intelligence
Health Services Research
business
computer
Subjects
Details
- ISSN :
- 17445086
- Volume :
- 18
- Issue :
- 1
- Database :
- OpenAIRE
- Journal :
- Ophthalmic epidemiology
- Accession number :
- edsair.doi.dedup.....fbc74b5393b1e2740d85d63376b02974