The SF36 Version 2: critical analyses of population weights, scoring algorithms and population norms

Hawthorne, Graeme, Osborne, Richard, Taylor, Ann and Sansoni, Jan 2007, The SF36 Version 2: critical analyses of population weights, scoring algorithms and population norms, Quality of life research, vol. 16, no. 4, pp. 661-673, doi: 10.1007/s11136-006-9154-4.

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Title The SF36 Version 2: critical analyses of population weights, scoring algorithms and population norms
Author(s) Hawthorne, Graeme
Osborne, Richard
Taylor, Ann
Sansoni, Jan
Journal name Quality of life research
Volume number 16
Issue number 4
Start page 661
End page 673
Publisher Springer Netherlands
Place of publication Dordrecht, Netherlands
Publication date 2007-05
ISSN 0962-9343
Keyword(s) SF-36
population norms
emic effects
health status
cultural differences
scoring weights
Summary Background: The SF36 Version 2 (SF36V2) is a revision of the SF36 Version 1, and is a widely used health status measure. It is important that guidelines for interpreting scores are available.

Method: A population sample of Australians (n = 3015) weighted to achieve representativeness was administered the SF36V2. Comparisons between published US weights and sample derived weights were made, and Australian population norms computed and presented.

Major findings:
Significant differences were observed on 7/8 scales and on the mental health summary scale. Possible causes of these findings may include different sampling and data collection procedures, demographic characteristics, differences in data collection time (1998 vs. 2004), differences in health status or differences in cultural perception of the meaning of health. Australian population norms by age cohort, gender and health status are reported by T-score as recommended by the instrument developers. Additionally, the proportions of cases within T-score deciles are presented and show there are important data distribution issues.

Principal conclusions: The procedures reported here may be used by other researchers where local effects are suspected. The population norms presented may be of interest. There are statistical artefacts associated with T-scores that have implications for how SF36V2 data are analysed and interpreted.

Language eng
DOI 10.1007/s11136-006-9154-4
Field of Research 110399 Clinical Sciences not elsewhere classified
Socio Economic Objective 970111 Expanding Knowledge in the Medical and Health Sciences
HERDC Research category C1.1 Refereed article in a scholarly journal
Grant ID NHMRC 400391
Copyright notice ©2007, Springer Science+Business Media B.V.
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Document type: Journal Article
Collections: Faculty of Health
School of Health and Social Development
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