Delineating the joint hierarchical structure of clinical and personality disorders in an outpatient psychiatric sample.

ABSTRACT:

Background

A large body of research has focused on identifying the optimal number of dimensions - or spectra - to model individual differences in psychopathology. Recently, it has become increasingly clear that ostensibly competing models with varying numbers of spectra can be synthesized in empirically derived hierarchical structures.

Methods and materials

We examined the convergence between top-down (bass-ackwards or sequential principal components analysis) and bottom-up (hierarchical agglomerative cluster analysis) statistical methods for elucidating hierarchies to explicate the joint hierarchical structure of clinical and personality disorders. Analyses examined 24 clinical and personality disorders based on semi-structured clinical interviews in an outpatient psychiatr

SUBMITTER: Forbes MK 

PROVIDER: S-EPMC5643220 | biostudies-literature | 2017 Nov

REPOSITORIES: biostudies-literature