The network structure of paranoia in the general population.

ABSTRACT: PURPOSE:Bebbington and colleagues' influential study on 'the structure of paranoia in the general population' used data from the British National Psychiatric Morbidity Survey and latent variable analysis methods. Network analysis is a relatively new approach in psychopathology research that considers mental disorders to be emergent phenomena from causal interactions among symptoms. This study re-analysed the British National Psychiatric Morbidity Survey data using network analysis to examine the network structure of paranoia in the general population. METHODS:We used a Graphical Least Absolute Shrinkage and Selection Operator (glasso) method that estimated an optimal network structure based on the Extended Bayesian Information Criterion. Network sub-communities were identified by spinglass

SUBMITTER: Bell V 

PROVIDER: S-EPMC6003969 | biostudies-literature | 2018 Jul

REPOSITORIES: biostudies-literature