Factor analyses of a social support scale using two methods

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• 作者：Yu Yu (1) (2)
  Cheng-Shi Shiu (3)
  Joyce P. Yang (4)
  Mingjiong Wang (5)
  Jane M. Simoni (4)
  Wei-ti Chen (6)
  Joy Cheng (7)
  Hongxin Zhao (8)
  
  1. Department of Social Medicine and Health Management ; Public Health School ; Central South University ; Upper Mayuanlin Road 238 ; Changsha ; 410008 ; Hunan ; China
  2. Department of Global Health ; Public Health School ; University of Washington ; 1510 San Juan Road ; Box 357965 ; Seattle ; WA ; 98195-7765 ; USA
  3. School of Social Work ; University of Washington ; 4101 15th Ave NE ; Seattle ; WA ; 98105 ; USA
  4. Department of Psychology ; University of Washington ; 3909 Stevens Way NE ; Campus Box 351525 ; Seattle ; WA ; 98195-1525 ; USA
  5. Department of Traditional Chinese Medicine ; Changsha Medical School ; Lei Feng Road Nine Kilometers ; Wangcheng ; Changshang ; 410219 ; Hunan ; China
  6. Yale School of Nursing ; Yale University ; 400 West Campus Drive # 22110 ; Orange ; CT ; 06477 ; USA
  7. Mott Women Healthcare PLLC ; 128 Mott St Suite 501 ; New York ; NY ; 10013 ; USA
  8. Center for Infectious Diseases ; Ditan Hospital ; Capital Medical University ; Beijing ; 100015 ; China
  
• 关键词：Medical Outcomes Study Social Support Survey ; Factor analysis ; CFA ; EFA ; Chinese
• 刊名：Quality of Life Research
• 出版年：2015
• 出版时间：April 2015
• 年：2015
• 卷：24
• 期：4
• 页码：787-794
• 全文大小：200 KB
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• 刊物类别：Medicine
• 刊物主题：Medicine & Public Health
  Quality of Life Research
  Sociology
  Public Health
  
• 出版者：Springer Netherlands
• ISSN：1573-2649

文摘

Purpose Evaluation and comparison of the factor structure of the Medical Outcomes Study Social Support Survey (MOS-SSS) using both confirmatory factor analysis (CFA) and exploratory factor analysis (EFA) with two samples of people living with HIV/AIDS in China. Methods Secondary analyses were conducted with data from two comparable samples of 320 people living with HIV/AIDS from the same hospital using the same inclusion criteria. The first sample of 120 was collected in 2006, and the second sample of 200 was collected in 2012. For each sample, CFA was first performed on the original four-factor structure to check model fit, followed by EFA to explore other factor structures and a subsequent CFA for model fit statistics to be compared to the original four-factor CFA. Results In both samples, CFA on the originally hypothesized four-factor structure yielded an acceptable model fit. The EFA yielded a two-factor solution in both samples, with different items included in each factor for the two samples. Comparison of CFA on the a priori four-factor structure and the new two-factor structure in both samples indicated that both factor structures were of acceptable model fit, with the four-factor model performing slightly better than the two-factor model. Conclusion Factor structure of the MOS-SSS is method-dependent, with CFA supporting a four-factor structure, while EFA yielded a two-factor structure in two separate samples. We need to be careful in selecting the analytic method when applying the MOS-SSS to various samples and choose the factor structure that best fits the theoretical model.