Effect of Sample Size on Goodness-Fit of-Fit Indices in Structural Equation Models
- 13 September 1995
- journal article
- research article
- Published by Taylor & Francis in Journal of Social Service Research
- Vol. 20 (3-4) , 49-70
- https://doi.org/10.1300/j079v20n03_03
Abstract
The effect of sample size on goodness of fit indices that are widely used in structural equation models is discussed and empirically illustrated. Many of the indices discussed in the article are reported in such applications as LISREL and EQS. GFI, AGFI, Normed fit index (NFI), Non-normed fit index (NNFI), Incremental fit index (IFI) and Comparative Fit Index (CFI) are examined for two types of sample size effects. The means of the sampling distributions of GFI, IFI and CFI were relatively stable across different sample sizes and these three indices were not as downward biased as NFI and NNFI.This publication has 4 references indexed in Scilit:
- Subjective Health and Subjective Well-Being Among Minority ElderlyJournal of Social Service Research, 1992
- Overall fit in covariance structure models: Two types of sample size effects.Psychological Bulletin, 1990
- Evaluation of goodness-of-fit indices for structural equation models.Psychological Bulletin, 1989
- The robustness of maximum likelihood estimation in structural equation modelsPublished by Cambridge University Press (CUP) ,1988