The Model-Size Effect on Traditional and Modified Tests of Covariance Structures

@inproceedings{Herzog2007TheME,
  title={The Model-Size Effect on Traditional and Modified Tests of Covariance Structures},
  author={Walter Herzog and Anne Boomsma and Sven Reinecke},
  year={2007}
}
According to Kenny and McCoach (2003), chi-square tests of structural equation models produce inflated Type I error rates when the degrees of freedom increase. So far, the amount of this bias in large models has not been quantified. In a Monte Carlo study of confirmatory factor models with a range of 48 to 960 degrees of freedom it was found that the traditional maximum likelihood ratio statistic, TML, overestimates nominal Type I error rates up to 70% under conditions of multivariate normality… CONTINUE READING
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