Abstract
PURPOSE: To evaluate two psychometric properties of SF-36, namely unidimensionality and reliability. METHODS: The data are from three cohorts in the HALCyon collaborative research programme into healthy ageing: Aberdeen Birth Cohort 1936 (n = 428), Hertfordshire Ageing Study (n = 358) and Hertfordshire Cohort Study (n = 3,216). The Mokken scaling model was applied to each sub-scale of SF-36 to evaluate unidimensionality as indicated by scalability. The lower bound for internal consistency reliability was determined by Cronbach's alpha. RESULTS: All six sub-scales of SF-36, with the exception of general health (GH) and mental health (MH), demonstrated strong scalability (0.5 = H
Original language | English |
---|---|
Pages (from-to) | 1005-1010 |
Number of pages | 6 |
Journal | Quality of Life Research |
Volume | 20 |
Issue number | 7 |
DOIs | |
Publication status | Published - 2011 |
Keywords
- SF-36
- Psychometric properties
- Unidimensionality
- Reliability
- Cronbach’s alpha
- Mokken scaling
Fingerprint
Dive into the research topics of 'How useful are the SF-36 sub-scales in older people? Mokken scaling of data from the HALCyon programme'. Together they form a unique fingerprint.Datasets
-
Aberdeen Birth Cohort Study 1936 (ABC 1936)
Craig, L. (Data Manager), University of Aberdeen, 1997
http://www.abdn.ac.uk/aberdeen-birth-cohort/ and one more link, https://www.abdn.ac.uk/birth-cohorts/1936/for-researchers/data-access/?action=subpage (show fewer)
Dataset