Development and Psychometric Evaluation of the Yale-Brown Obsessive-Compulsive Scale--Second Edition
Overview
Authors
Affiliations
The Yale-Brown Obsessive-Compulsive Scale (Y-BOCS; Goodman, Price, Rasmussen, Mazure, Delgado, et al., 1989) is acknowledged as the gold standard measure of obsessive-compulsive disorder (OCD) symptom severity. A number of areas where the Y-BOCS may benefit from revision have emerged in past psychometric studies of the Severity Scale and Symptom Checklist. Therefore, we created the Yale-Brown Obsessive-Compulsive Scale-Second Edition (Y-BOCS-II) by revising the Severity Scale item content and scoring framework, integrating avoidance into the scoring of Severity Scale items, and modifying the Symptom Checklist content and format. One hundred thirty treatment-seeking adults with OCD completed a battery of measures assessing OCD symptom severity and typology and depressive and anxious symptomology. Interrater and test-retest reliability were assessed on a subsample of participants. The Y-BOCS-II showed strong internal consistency for the Symptom Checklist (Kuder-Richardson-20 = .91) and Severity Scale (alpha = .89). Test-retest and interrater reliabilities were both high (intraclass correlations > .85). Confirmatory factor analyses did not show adequate fit with previous models of the Y-BOCS. Exploratory factor analysis revealed a two-factor solution generally consistent with the Obsession and Compulsion Severity subscales. Construct validity was supported by strong correlations with clinician-rated measures of OCD symptom severity and moderate correlations with measures of worry and depressive symptoms. Taken together, the Y-BOCS-II has excellent psychometric properties in assessing the presence and severity of obsessive-compulsive symptoms. Although the Y-BOCS remains a reliable and valid measure, the Y-BOCS-II may provide an alternative method of assessing symptom presence and severity.
Bey K, Willems S, Dueren A, Philipsen A, Wagner M BMC Psychiatry. 2025; 25(1):235.
PMID: 40069700 PMC: 11900428. DOI: 10.1186/s12888-025-06655-0.
Langhammer T, Unterfeld C, Blankenburg F, Erk S, Fehm L, Haynes J BMJ Open. 2025; 15(2):e094110.
PMID: 40010810 PMC: 11865781. DOI: 10.1136/bmjopen-2024-094110.
A Non-Invasive Approach for Facial Action Unit Extraction and Its Application in Pain Detection.
Bouazizi M, Feghoul K, Wang S, Yin Y, Ohtsuki T Bioengineering (Basel). 2025; 12(2).
PMID: 40001714 PMC: 11851526. DOI: 10.3390/bioengineering12020195.
Moreno Tarazona E, Orozco Gonzalez M, La Rosa Giron A, Ruiz-Grosso P, Lazo-Porras M BMC Psychiatry. 2025; 25(1):71.
PMID: 39849391 PMC: 11759428. DOI: 10.1186/s12888-024-06466-9.
Hinduja S, Darzi A, Onal Ertugrul I, Provenza N, Gadot R, Storch E IEEE Trans Affect Comput. 2024; 15(4):2025-2041.
PMID: 39687201 PMC: 11649003. DOI: 10.1109/taffc.2024.3395117.