A discussion of item response theory and its applications in health status assessment

Medical Care

Volumn 38, Issue 9, 2000, Pages

  Cella, David ^a   Chang, Chih Hung ^b  

^a EVANSTON NORTHWESTERN HEALTHCARE   (United States)

^b NORTHWESTERN UNIVERSITY   (United States)

Author keywords

Computerized adaptive testing; Health status assessment; Item response theory; Outcomes assessment; Quality of life; Rasch measurement

Indexed keywords

DAILY LIFE ACTIVITY; HEALTH SURVEY; HUMAN; INFORMATION PROCESSING; METHODOLOGY; NOTE; QUALITY OF LIFE; QUESTIONNAIRE; STATISTICAL MODEL;

ACTIVITIES OF DAILY LIVING; DATA COLLECTION; HEALTH STATUS INDICATORS; HUMANS; MODELS, STATISTICAL; QUALITY OF LIFE; QUESTIONNAIRES;

EID: 0034267917     PISSN: 00257079     EISSN: None     Source Type: Journal    
DOI: None     Document Type: Article

References (5)

1. McHorney CA, Cohen AS. Equating health status measures with item response theory: Illustrations with functional status items. Med Care 2000;38(suppl II):II-43-II-59.
2. Hays RD, Morales LS, Reise SP. Item response theory and health outcomes measurement in the 21st century. Med Care 2000;38(suppl II):II-28-II-42.
3. Bock RD. Estimating item parameters and latent ability when responses are scored in two or more nominal categories. Psychometrika 1972;37:29-51.
4. Bock RD, Gibbons R, Muraki E. Fullinformation item factor analysis. Appl Psychol Mcas 1988;12:261-280.
5. Bock RD, Gibbons R, Muraki E, Schilling SG, Wilson DT, Wood R. Test scoring, item statistics, and item factor analysis. Chicago, Ill: Scientific Software International; 1997.