Methods for testing data quality, scaling assumptions, and reliability: the IQOLA Project approach. International Quality of Life Assessment
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UMass Chan Affiliations
Department of Quantitative Health SciencesDocument Type
Journal ArticlePublication Date
1998-11-17Keywords
Activities of Daily LivingDiscriminant Analysis
*Health Status Indicators
Humans
*Psychometrics
*Quality of Life
Translations
Biostatistics
Epidemiology
Health Services Research
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Show full item recordAbstract
Following the translation development stage, the second research stage of the IQOLA Project tests the assumptions underlying item scoring and scale construction. This article provides detailed information on the research methods used by the IQOLA Project to evaluate data quality, scaling and scoring assumptions, and the reliability of the SF-36 scales. Tests include evaluation of item and scale-level descriptive statistics; examination of the equality of item-scale correlations, item internal consistency and item discriminant validity; and estimation of scale score reliability using internal consistency and test-retest methods. Results from these tests are used to determine if standard algorithms for the construction and scoring of the eight SF-36 scales can be used in each country and to provide information that can be used in translation improvement.Source
J Clin Epidemiol. 1998 Nov;51(11):945-52. Link to article on publisher's siteDOI
10.1016/S0895-4356(98)00085-7Permanent Link to this Item
http://hdl.handle.net/20.500.14038/47418PubMed ID
9817111Related Resources
Link to Article in PubMedae974a485f413a2113503eed53cd6c53
10.1016/S0895-4356(98)00085-7