Latent class analysis of delusion-proneness: exploring the latent structure of the Peters et al. delusions inventory.

@article{Rocchi2008LatentCA,
  title={Latent class analysis of delusion-proneness: exploring the latent structure of the Peters et al. delusions inventory.},
  author={Marco B. L. Rocchi and Davide Sisti and Sebastiana Manca and Sara Siddi and T. Mura and Antonio Preti},
  journal={The Journal of nervous and mental disease},
  year={2008},
  volume={196 8},
  pages={620-9}
}
Latent class analysis (LCA) has emerged as the best suitable statistical tool to identify separate dimensions (latent classes) when analyzing dichotomous data; its objective is to categorize people into classes using the observed items and to identify those items that best distinguish between classes. LCA was applied to the Peters et al. delusions inventory… CONTINUE READING