Testing small variance priors using prior-posterior predictive p values.

@article{Hoijtink2017TestingSV,
  title={Testing small variance priors using prior-posterior predictive p values.},
  author={Herbert Hoijtink and Rens van de Schoot},
  journal={Psychological methods},
  year={2017},
  volume={23 3},
  pages={
          561-569
        }
}
Muthén and Asparouhov (2012) propose to evaluate model fit in structural equation models based on approximate (using small variance priors) instead of exact equality of (combinations of) parameters to zero. This is an important development that adequately addresses Cohen's (1994) The Earth is Round (p < .05), which stresses that point null-hypotheses are so precise that small and irrelevant differences from the null-hypothesis may lead to their rejection. It is tempting to evaluate small… CONTINUE READING
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