Model selection in covariance structures analysis and the "problem" of sample size: a clarification.

@article{Cudeck1991ModelSI,
  title={Model selection in covariance structures analysis and the "problem" of sample size: a clarification.},
  author={Robert Cudeck and Susan J. Henly},
  journal={Psychological bulletin},
  year={1991},
  volume={109 3},
  pages={512-9}
}
Complex models for covariance matrices are structures that specify many parameters, whereas simple models require only a few. When a set of models of differing complexity is evaluated by means of some goodness of fit indices, structures with many parameters are more likely to be selected when the number of observations is large, regardless of other utility considerations. This is known as the sample size problem in model selection decisions. This article argues that this influence of sample… CONTINUE READING

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