Confirmatory factor analysis of the interpersonal support evaluation list

作者: Jeffrey B. Brookings , Brian Bolton

DOI: 10.1007/BF00906076

关键词:

摘要: Cohen and Hoberman (1983) designed the Interpersonal Support Evaluation List (ISEL) to measure perceived availability of four relatively independent social support resources thus provide tests stress-buffering hypotheses. The utility ISEL for such requires evidence that it actually measures distinct functional dimensions. A confirmatory factor analysis 133 college students showed a four-factor model provided reasonable fit data, but large correlations among factors were strongly suggestive general, second-order factor. However, scoring as unidimensional only would result in loss unique information contained subscales. Researchers should therefore follow Hoberman's procedure analyzing subscale scores total score.

参考文章(17)
James S. House, Work stress and social support ,(1981)
Claes Fornell, Issues in the Application of Covariance Structure Analysis: A Comment Journal of Consumer Research. ,vol. 9, pp. 443- 448 ,(1983) , 10.1086/208938
Sheldon Cohen, Robin Mermelstein, Tom Kamarck, Harry M. Hoberman, Measuring the Functional Components of Social Support Springer Netherlands. pp. 73- 94 ,(1985) , 10.1007/978-94-009-5115-0_5
Stephen C. Steiner, Scott M. Monroe, Social support and psychopathology: interrelations with preexisting disorder, stress, and personality Journal of Abnormal Psychology. ,vol. 95, pp. 29- 39 ,(1986) , 10.1037//0021-843X.95.1.29
Norman Cliff, Some cautions concerning the application of causal modeling methods. Multivariate Behavioral Research. ,vol. 18, pp. 115- 126 ,(1983) , 10.1207/S15327906MBR1801_7
Sheldon Cohen, Thomas A. Wills, Stress, social support, and the buffering hypothesis. Psychological Bulletin. ,vol. 98, pp. 310- 357 ,(1985) , 10.1037/0033-2909.98.2.310
Douglas N. Jackson, David W. Chan, Maximum-likelihood estimation in common factor analysis: A cautionary note Psychological Bulletin. ,vol. 88, pp. 502- 508 ,(1980) , 10.1037/0033-2909.88.2.502