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Development and initial validation of a scale for detecting inconsistent responding on the personality assessment inventory-short form

  • Caleb J. Siefert
  • , Michelle Stein
  • , Samuel Justin Sinclair
  • , Daniel Antonius
  • , Andrew Shiva
  • , Mark A. Blais
  • University of Michigan, Dearborn
  • Massachusetts General Hospital
  • New York University
  • City University of New York

Research output: Contribution to journalArticlepeer-review

4 Scopus citations

Abstract

The goal of this investigation was the development of an Inconsistency scale (ICN-SF) for the Personality Assessment Inventory-Short Form (PAI-SF). In Study 1, 503 inpatient profiles were randomly assigned to a derivation or cross-validation sample. Ten correlated item pairs were identified using the derivation sample and placed on the ICN-SF. Psychometric properties of the ICN-SF total scores were comparable in the derivation and cross-validation samples. Total ICN-SF scores in both samples were significantly lower than scores obtained from computer-generated random samples. Diagnostic efficiency statistics are reported using multiple cut-off scores at various base rate estimates. ICN-SF scores greater than 8 reasonably balanced sensitivity and specificity rates. This cutoff correctly classified 92% of the random protocols and inaccurately classified 9% of the patient protocols in Study 1. In Study 2, PAI-SF scores from 627 forensic and civil inpatients produced similar results, effectively identifying cases with elevated scores on the full-form Inconsistency scale. Overall the results of both studies suggest that the ICN-SF can aid examiners in assessing for inconsistent responding.

Original languageEnglish
Pages (from-to)601-606
Number of pages6
JournalJournal of Personality Assessment
Volume94
Issue number6
DOIs
StatePublished - 2012

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