title: Internal Consistency Analysis: a method for studying the accuracy of function assessment for health outcome and quality of life evaluation.
abstract: Social, mental and physical function are major components of health outcomes and health related life quality, but the accuracy of function measurement is difficult to study rigorously. Internal Consistency Analysis (ICA) uses multiple sources of evidence from a survey interview to study the accuracy of a classification. It was developed to study function classifications for a general health outcome measure, the Quality of Well-being (QWB) scale. ICA is described and evidence of its utility in improving the classifications needed for the QWB is presented.
authors.affiliation: Department of Community and Family Medicine, University of California at San Diego 92093.
authors.forename: J P
authors.initials: JP
authors.lastname: Anderson
authors.forename: J W
authors.initials: JW
authors.lastname: Bush
authors.forename: C C
authors.initials: CC
authors.lastname: Berry
mesh_terms: D000368:Aged; D004185:Disability Evaluation; D005260:Female; D006262:Health; D006304:Health Status; D006305:Health Status Indicators; D006306:Health Surveys; D006801:Humans; D008297:Male; D008875:Middle Aged; D010809:Physical Fitness; D011788:Quality of Life; D012934:Social Isolation