title: Improving assessment of personality disorder traits through social network analysis.
abstract: When assessing personality disorder traits, not all judges make equally valid judgments of all targets. The present study uses social network analysis to investigate factors associated with reliability and validity in peer assessment. Participants were groups of military recruits (N=809) who acted as both targets and judges in a round-robin design. Participants completed self- and informant versions of the Multisource Assessment of Personality Pathology. Social network matrices were constructed based on reported acquaintance, and cohesive subgroups were identified. Judges who shared a mutual subgroup were more reliable and had higher self-peer agreement than those who did not. Partitioning networks into two subgroups achieved more consistent improvements than multiple subgroups. We discuss implications for multiple informant assessments.
authors.affiliation: Department of Psychology, Vassar College, Poughkeepsie, NY 12604-0127, USA. alclifton@vassar.edu
authors.forename: Allan
authors.initials: A
authors.lastname: Clifton
authors.forename: Eric
authors.initials: E
authors.lastname: Turkheimer
authors.forename: Thomas F
authors.initials: TF
authors.lastname: Oltmanns
mesh_terms: D000328:Adult; D005260:Female; D006801:Humans; D008297:Male; D008889:Military Personnel / Q000523:psychology / Q000706:statistics & numerical data*; D010379:Peer Group; D010554:Personality Disorders / Q000175:diagnosis / Q000453:epidemiology* / Q000523:psychology; D010555:Personality Inventory / Q000706:statistics & numerical data; D012649:Self Concept; D012647:Self-Assessment; D012928:Social Desirability; D012938:Social Perception