File Download

There are no files associated with this item.

  Links for fulltext
     (May Require Subscription)
Supplementary

Article: A theoretical approach to measuring quality of life

TitleA theoretical approach to measuring quality of life
Authors
Issue Date2002
Citation
Journal of Nursing Measurement, 2002, v. 10, n. 1, p. 47-58 How to Cite?
AbstractThe purpose of this article is to discuss conceptual issues surrounding health-related quality of life (HRQOL) and to provide an example of how structural equation modeling can address some of these conceptual issues. This article reports the development of the measurement model for overall quality of life, a dimension of HRQOL as conceptualized by Wilson and Cleary (1995). The sample (N = 1410) is from the AIDS Time-Oriented Health Outcome Study (ATHOS) databank, a longitudinal observational database of persons with HIV-associated illness. The hypothesized second-order factor model consists of 5 latent variables and 17 measured items. The fit indicators (RMSEA = .0717; SRMR = .0450; CFI = .951) suggest that the model provides an adequate description of the pattern of relationships in the data. A theoretical approach to HRQOL will expand its clinical use as an outcome measure and increase its relevance.
Persistent Identifierhttp://hdl.handle.net/10722/202187
ISSN
2015 SCImago Journal Rankings: 0.193

 

DC FieldValueLanguage
dc.contributor.authorSousa, Karen H.-
dc.contributor.authorChen, Fangfang-
dc.date.accessioned2014-08-22T02:57:47Z-
dc.date.available2014-08-22T02:57:47Z-
dc.date.issued2002-
dc.identifier.citationJournal of Nursing Measurement, 2002, v. 10, n. 1, p. 47-58-
dc.identifier.issn1061-3749-
dc.identifier.urihttp://hdl.handle.net/10722/202187-
dc.description.abstractThe purpose of this article is to discuss conceptual issues surrounding health-related quality of life (HRQOL) and to provide an example of how structural equation modeling can address some of these conceptual issues. This article reports the development of the measurement model for overall quality of life, a dimension of HRQOL as conceptualized by Wilson and Cleary (1995). The sample (N = 1410) is from the AIDS Time-Oriented Health Outcome Study (ATHOS) databank, a longitudinal observational database of persons with HIV-associated illness. The hypothesized second-order factor model consists of 5 latent variables and 17 measured items. The fit indicators (RMSEA = .0717; SRMR = .0450; CFI = .951) suggest that the model provides an adequate description of the pattern of relationships in the data. A theoretical approach to HRQOL will expand its clinical use as an outcome measure and increase its relevance.-
dc.languageeng-
dc.relation.ispartofJournal of Nursing Measurement-
dc.titleA theoretical approach to measuring quality of life-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1891/jnum.10.1.47.52545-
dc.identifier.pmid12048969-
dc.identifier.scopuseid_2-s2.0-0036515659-
dc.identifier.volume10-
dc.identifier.issue1-
dc.identifier.spage47-
dc.identifier.epage58-

Export via OAI-PMH Interface in XML Formats


OR


Export to Other Non-XML Formats