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Internal Consistency Analysis: a method for studying the accuracy of function assessment for health outcome and
J P Anderson1, J W Bush, C C Berry
1Department of Community and Family Medicine, University of California at San Diego 92093.
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.
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