Ordinal-To-Interval Scale Conversion Tables and National Items for the New Zealand Version of the WHOQOL-BREF.
Autor: | Krägeloh CU; Auckland University of Technology, Auckland, New Zealand., Billington DR; Auckland University of Technology, Auckland, New Zealand., Hsu PH; Auckland University of Technology, Auckland, New Zealand., Feng XJ; Auckland University of Technology, Auckland, New Zealand., Medvedev ON; Auckland University of Technology, Auckland, New Zealand., Kersten P; University of Brighton, Brighton, United Kingdom., Landon J; Auckland University of Technology, Auckland, New Zealand., Siegert RJ; Auckland University of Technology, Auckland, New Zealand. |
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Jazyk: | angličtina |
Zdroj: | PloS one [PLoS One] 2016 Nov 03; Vol. 11 (11), pp. e0166065. Date of Electronic Publication: 2016 Nov 03 (Print Publication: 2016). |
DOI: | 10.1371/journal.pone.0166065 |
Abstrakt: | The World Health Organisation Quality of Life (WHOQOL) questionnaires are widely used around the world and can claim strong cross-cultural validity due to their development in collaboration with international field centres. To enhance conceptual equivalence of quality of life across cultures, optional national items are often developed for use alongside the core instrument. The present study outlines the development of national items for the New Zealand WHOQOL-BREF. Focus groups with members of the community as well as health experts discussed what constitutes quality of life in their opinion. Based on themes extracted of aspects not contained in the existing WHOQOL instrument, 46 candidate items were generated and subsequently rated for their importance by a random sample of 585 individuals from the general population. Applying importance criteria reduced these items to 24, which were then sent to another large random sample (n = 808) to be rated alongside the existing WHOQOL-BREF. A final set of five items met the criteria for national items. Confirmatory factor analysis identified four national items as belonging to the psychological domain of quality of life, and one item to the social domain. Rasch analysis validated these results and generated ordinal-to-interval conversion algorithms to allow use of parametric statistics for domain scores with and without national items. Competing Interests: The authors have declared that no competing interests exist. |
Databáze: | MEDLINE |
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