Quantified choice of root-mean-square errors of approximation for evaluation and power analysis of small differences between structural equation models.

@article{Li2011QuantifiedCO,
  title={Quantified choice of root-mean-square errors of approximation for evaluation and power analysis of small differences between structural equation models.},
  author={Libo Li and Peter M. Bentler},
  journal={Psychological methods},
  year={2011},
  volume={16 2},
  pages={116-26}
}
MacCallum, Browne, and Cai (2006) proposed a new framework for evaluation and power analysis of small differences between nested structural equation models (SEMs). In their framework, the null and alternative hypotheses for testing a small difference in fit and its related power analyses were defined by some chosen root-mean-square error of approximation… CONTINUE READING