Dissertation
BIFACTOR S-1 STRUCTURE OF THE SF-36 QUALITY OF LIFE SCALE IN A DIABETES SAMPLE
Doctor of Philosophy (PhD), Washington State University
01/2020
Handle:
https://hdl.handle.net/2376/108389
Abstract
This study aims to determine if the bifactor S-1 approach can be used to explain the structure of the 36-Item Short Form Survey (SF-36) quality of life scale. Older adults living with diabetes (N = 21,636; 90.4% aged 65+; 53.8% females) who participated in Cohort 8 of the Medicare Health Outcomes Survey (HOS) longitudinal study completed the SF-36 scale. Item scores were then used to evaluate and compare four different confirmatory factor analysis (CFA) models of the SF-36, including a first-order 8-factor model and three bifactor S-1 models. Results indicate that a bifactor S-1 solution using all eight symptom domains fit the data well. The S-1 structure included two general reference factors (general health and mental health) as the core domains of quality of life. Three physical specific factors (physical functioning, role physical and bodily pain) were compared against the general health reference domain, and three mental specific factors (role emotional, social function and vitality) were contrasted against mental health. Each of the core domains accounted for a large proportion of the true score variance among relevant non-reference domain symptoms. Additionally, the physical specific factors contributed to differences in physical non-reference domain symptoms above and beyond general health. Likewise, the mental specific factors influenced mental non-reference domain symptoms above and beyond mental health. This provides evidence that researchers and clinicians can use both the reference domains and non-reference domains to examine quality of life in diabetes patients.
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Details
- Title
- BIFACTOR S-1 STRUCTURE OF THE SF-36 QUALITY OF LIFE SCALE IN A DIABETES SAMPLE
- Creators
- Kendra Nicole Pass
- Contributors
- Craig D. Parks (Advisor)G. Leonard Burns (Committee Member)Bruce R. Wright (Committee Member)
- Awarding Institution
- Washington State University
- Academic Unit
- Psychology, Department of
- Theses and Dissertations
- Doctor of Philosophy (PhD), Washington State University
- Number of pages
- 89
- Identifiers
- 99900581410901842
- Language
- English
- Resource Type
- Dissertation