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dc.contributor.authorAnatchkova, Milena D.
dc.contributor.authorWare, John E. Jr.
dc.contributor.authorBjorner, Jakob B.
dc.date2022-08-11T08:10:44.000
dc.date.accessioned2022-08-23T17:18:17Z
dc.date.available2022-08-23T17:18:17Z
dc.date.issued2010-12-15
dc.date.submitted2011-01-27
dc.identifier.citationQual Life Res. 2010 Dec 12. <a href="http://dx.doi.org/10.1007/s11136-010-9807-1">Link to article on publisher's site</a>
dc.identifier.issn0962-9343 (Linking)
dc.identifier.doi10.1007/s11136-010-9807-1
dc.identifier.pmid21153710
dc.identifier.urihttp://hdl.handle.net/20.500.14038/47822
dc.description.abstractPURPOSE: Role functioning (RF) is an important part of health-related quality of life, but is hard to measure due to the wide definition of roles and fluctuations in role participation. This study aims to explore the dimensionality of a newly developed item bank assessing the impact of health on RF. METHODS: A battery of measures with skip patterns including the new RF bank was completed by 2,500 participants answering only questions on social roles relevant to them. Confirmatory factor analyses were conducted for the participants answering items from all conceptual domains (N = 1193). Conceptually based dimensionality and method effects reflecting positively and negatively worded items were explored in a series of models. RESULTS: A bi-factor model (CFI = .93, RMSEA = .08) with one general and four conceptual factors (social, family, occupation, generic) was retained. Positively worded items were excluded from the final solution due to misfit. While a single factor model with methods factors had a poor fit (CFI = .88, RMSEA = .13), high loadings on the general factor in the bi-factor model suggest that the RF bank is sufficiently unidimensional for IRT analysis. CONCLUSIONS: The bank demonstrated sufficient unidimensionality for IRT-based calibration of all the items on a common metric and development of a computerized adaptive test.
dc.language.isoen_US
dc.relation<a href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=pubmed&cmd=Retrieve&list_uids=21153710&dopt=Abstract">Link to Article in PubMed</a>
dc.relation.urlhttp://dx.doi.org/10.1007/s11136-010-9807-1
dc.subjectActivities of Daily Living
dc.subject*Health Status
dc.subject*Interpersonal Relations
dc.subject*Quality of Life
dc.subjectSocial Environment
dc.subjectRole
dc.subjectBioinformatics
dc.subjectBiostatistics
dc.subjectEpidemiology
dc.subjectHealth Services Research
dc.titleAssessing the factor structure of a role functioning item bank
dc.typeJournal Article
dc.source.journaltitleQuality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation
dc.identifier.legacycoverpagehttps://escholarship.umassmed.edu/qhs_pp/937
dc.identifier.contextkey1749244
html.description.abstract<p>PURPOSE: Role functioning (RF) is an important part of health-related quality of life, but is hard to measure due to the wide definition of roles and fluctuations in role participation. This study aims to explore the dimensionality of a newly developed item bank assessing the impact of health on RF.</p> <p>METHODS: A battery of measures with skip patterns including the new RF bank was completed by 2,500 participants answering only questions on social roles relevant to them. Confirmatory factor analyses were conducted for the participants answering items from all conceptual domains (N = 1193). Conceptually based dimensionality and method effects reflecting positively and negatively worded items were explored in a series of models.</p> <p>RESULTS: A bi-factor model (CFI = .93, RMSEA = .08) with one general and four conceptual factors (social, family, occupation, generic) was retained. Positively worded items were excluded from the final solution due to misfit. While a single factor model with methods factors had a poor fit (CFI = .88, RMSEA = .13), high loadings on the general factor in the bi-factor model suggest that the RF bank is sufficiently unidimensional for IRT analysis.</p> <p>CONCLUSIONS: The bank demonstrated sufficient unidimensionality for IRT-based calibration of all the items on a common metric and development of a computerized adaptive test.</p>
dc.identifier.submissionpathqhs_pp/937
dc.contributor.departmentDepartment of Quantitative Health Sciences


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