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dc.contributor.authorKeller, Susan D.
dc.contributor.authorWare, John E. Jr.
dc.contributor.authorBentler, Peter M.
dc.contributor.authorAaronson, Neil K.
dc.contributor.authorAlonso, Jordi
dc.contributor.authorApolone, Giovanni
dc.contributor.authorBjorner, Jakob B.
dc.contributor.authorBrazier, John E.
dc.contributor.authorBullinger, Monika
dc.contributor.authorKaasa, Stein
dc.contributor.authorLeplege, Alain
dc.contributor.authorSullivan, Marianne
dc.contributor.authorGandek, Barbara
dc.date2022-08-11T08:10:41.000
dc.date.accessioned2022-08-23T17:16:30Z
dc.date.available2022-08-23T17:16:30Z
dc.date.issued1998-11-17
dc.date.submitted2010-06-18
dc.identifier.citationJ Clin Epidemiol. 1998 Nov;51(11):1179-88. <a href="http://dx.doi.org/10.1016/S0895-4356(98)00110-3">Link to article on publisher's site</a>
dc.identifier.issn0895-4356 (Linking)
dc.identifier.doi10.1016/S0895-4356(98)00110-3
dc.identifier.pmid9817136
dc.identifier.urihttp://hdl.handle.net/20.500.14038/47411
dc.description.abstractA crucial prerequisite to the use of the SF-36 Health Survey in multinational studies is the reproduction of the conceptual model underlying its scoring and interpretation. Structural equation modeling (SEM) was used to test these aspects of the construct validity of the SF-36 in ten IQOLA countries: Denmark, France, Germany, Italy, the Netherlands, Norway, Spain, Sweden, the United Kingdom, and the United States. Data came from general population surveys fielded to gather normative data. Measurement and structural models developed in the United States were cross-validated in random halves of the sample in each country. SEM analyses supported the eight first-order factor model of health that underlies the scoring of SF-36 scales and two second-order factors that are the basis for summary physical and mental health measures. A single third-order factor was also observed in support of the hypothesis that all responses to the SF-36 are generated by a single, underlying construct--health. In addition, a third second-order factors, interpreted as general well-being, was shown to improve the fit of the model. This model (including eight first-order factors, three second-order factors, and one third-order factor) was cross-validated using a holdout sample within the United States and in each of the nine other countries. These results confirm the hypothesized relationships between SF-36 items and scales and justify their scoring in each country using standard algorithms. Results also suggest that SF-36 scales and summary physical and mental health measures will have similar interpretations across countries. The practical implications of a third second-order SF-36 factor (general well-being) warrant further study.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=9817136&dopt=Abstract">Link to Article in PubMed</a>
dc.relation.urlhttp://dx.doi.org/10.1016/S0895-4356(98)00110-3
dc.subjectCross-Cultural Comparison
dc.subjectEurope
dc.subjectFactor Analysis, Statistical
dc.subject*Health Status Indicators
dc.subjectHumans
dc.subject*Psychometrics
dc.subject*Quality of Life
dc.subjectQuestionnaires
dc.subjectTranslations
dc.subjectUnited States
dc.subjectBiostatistics
dc.subjectEpidemiology
dc.subjectHealth Services Research
dc.titleUse of structural equation modeling to test the construct validity of the SF-36 Health Survey in ten countries: results from the IQOLA Project. International Quality of Life Assessment
dc.typeJournal Article
dc.source.journaltitleJournal of clinical epidemiology
dc.source.volume51
dc.source.issue11
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/qhs_pp/551
dc.identifier.contextkey1363386
html.description.abstract<p>A crucial prerequisite to the use of the SF-36 Health Survey in multinational studies is the reproduction of the conceptual model underlying its scoring and interpretation. Structural equation modeling (SEM) was used to test these aspects of the construct validity of the SF-36 in ten IQOLA countries: Denmark, France, Germany, Italy, the Netherlands, Norway, Spain, Sweden, the United Kingdom, and the United States. Data came from general population surveys fielded to gather normative data. Measurement and structural models developed in the United States were cross-validated in random halves of the sample in each country. SEM analyses supported the eight first-order factor model of health that underlies the scoring of SF-36 scales and two second-order factors that are the basis for summary physical and mental health measures. A single third-order factor was also observed in support of the hypothesis that all responses to the SF-36 are generated by a single, underlying construct--health. In addition, a third second-order factors, interpreted as general well-being, was shown to improve the fit of the model. This model (including eight first-order factors, three second-order factors, and one third-order factor) was cross-validated using a holdout sample within the United States and in each of the nine other countries. These results confirm the hypothesized relationships between SF-36 items and scales and justify their scoring in each country using standard algorithms. Results also suggest that SF-36 scales and summary physical and mental health measures will have similar interpretations across countries. The practical implications of a third second-order SF-36 factor (general well-being) warrant further study.</p>
dc.identifier.submissionpathqhs_pp/551
dc.contributor.departmentDepartment of Quantitative Health Sciences
dc.source.pages1179-88


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