title: Latent structure of psychotic experiences in the general population.
abstract: OBJECTIVE
  There have been increasing pressures to adopt or incorporate dimensional representations in various sections of DSM-5 including the psychotic disorders section. Thus far, findings offered as evidence of a continuous distribution of psychosis are limited given their exclusive focus on the manifest rather than latent structure of psychotic experiences. The current study sought to determine whether or not psychotic experiences possess a taxonic or dimensional latent structure.
  
  
  METHODS
  We investigated the latent structure of psychotic experiences in the Collaborative Psychiatric Epidemiological Surveys (CPES) and the National Comorbidity Survey (NCS). We analyzed responses of participants in these surveys with three multivariate taxometric procedures (MAMBAC, MAXEIG, and L-Mode) after summing responses on the surveys into three indicators of positive psychosis.
  
  
  RESULTS
  Taxometric results tended to support a dimensional, rather than taxonic structure for psychotic experiences. In the CPES, all taxometric methods produced graphical and numerical support for a dimensional structure. In the NCS, MAMBAC appeared to slightly support a taxonic structure, whereas MAXEIG and L-Mode supported a dimensional structure.
  
  
  CONCLUSIONS
  There appears to be a dimensional distribution of psychotic experiences in the general population. This supports the incorporation of dimensional representations of psychotic symptoms in the current diagnostic system.
authors: Department of Psychiatry and Health Behavior, Georgia Health Sciences University, Augusta, 30912, USA. aahmed@georgiahealth.edu
authors: A O
authors: AO
authors: Ahmed
authors: P F
authors: PF
authors: Buckley
authors: P A
authors: PA
authors: Mabe
mesh_terms: D000293:Adolescent; D000328:Adult; D002965:Classification / Q000379:methods*; D039721:Diagnostic and Statistical Manual of Mental Disorders; D005260:Female; D006304:Health Status; D006306:Health Surveys / Q000379:methods / Q000706:statistics & numerical data; D006801:Humans; D008016:Life Change Events; D008297:Male; D008603:Mental Health / Q000706:statistics & numerical data; D008824:Michigan / Q000453:epidemiology; D008875:Middle Aged; D015995:Prevalence; D011618:Psychotic Disorders / Q000145:classification / Q000175:diagnosis / Q000453:epidemiology; D011634:Public Health / Q000706:statistics & numerical data; D018570:Risk Assessment