Assessment of Obsessive-Compulsive Symptom Dimensions: Development and Evaluation of the Dimensional Obsessive-Compulsive Scale

Jonathan S. Abramowitz, Brett J. Deacon, Bunmi O. Olatunji, Michael G. Wheaton, Noah C. Berman, Diane Losardo, Kiara R. Timpano, Patrick B. McGrath, Bradley C. Riemann, Thomas Adams, Thröstur Björgvinsson, Eric A. Storch, Lisa R. Hale

Research output: Contribution to journalArticlepeer-review

605 Scopus citations

Abstract

Although several measures of obsessive-compulsive (OC) symptoms exist, most are limited in that they are not consistent with the most recent empirical findings on the nature and dimensional structure of obsessions and compulsions. In the present research, the authors developed and evaluated a measure called the Dimensional Obsessive-Compulsive Scale (DOCS) to address limitations of existing OC symptom measures. The DOCS is a 20-item measure that assesses the four dimensions of OC symptoms most reliably replicated in previous structural research. Factorial validity of the DOCS was supported by exploratory and confirmatory factor analyses of 3 samples, including individuals with OC disorder, those with other anxiety disorders, and nonclinical individuals. Scores on the DOCS displayed good performance on indices of reliability and validity, as well as sensitivity to treatment and diagnostic sensitivity, and hold promise as a measure of OC symptoms in clinical and research settings.

Original languageEnglish
Pages (from-to)180-198
Number of pages19
JournalPsychological Assessment
Volume22
Issue number1
DOIs
StatePublished - Mar 2010

Keywords

  • Assessment
  • Dimensional obsessive-compulsive scale
  • Obsessive-Compulsive Inventory
  • Obsessive-compulsive disorder
  • Symptom dimensions

ASJC Scopus subject areas

  • Clinical Psychology
  • Psychiatry and Mental health

Fingerprint

Dive into the research topics of 'Assessment of Obsessive-Compulsive Symptom Dimensions: Development and Evaluation of the Dimensional Obsessive-Compulsive Scale'. Together they form a unique fingerprint.

Cite this