Obsessive Compulsive and Related Disorders
Psychometric properties of the Obsessive-Compulsive Inventory-Revised among clinical and non-clinical populations in Japan.
Kaichi Yabe, B.A.
Research assistant
National center of neurology and psychiatry, National center for cognitive behavior therapy and research
Kodaira city, Tokyo, Japan
Masaya Ito, Ph.D.
Director of research and development
National center of neurology and psychiatry, National center for cognitive behavior therapy and research
Kodaira, Tokyo, Japan
Hironori Kuga, M.P.H., M.D., Ph.D.
General manager
National center of neurology and psychiatry, National center for cognitive behavior therapy and research
Kodaira, Tokyo, Japan
Yasue Mitamura, M.S.
Resident
National Center Hospital for Neurology and Psychiatry department of Clinical Psychology
Kodaira, Tokyo, Japan
Kyosuke Kaneko, M.A.
Research assistant
National center of neurology and psychiatry, National center for cognitive behavior therapy and research
Kodaira, Tokyo, Japan
So Sugita, B.S.
Research assistant
National center of neurology and psychiatry, National center for cognitive behavior therapy and research
Kodaira, Tokyo, Japan
Psychometric properties of the Obsessive-Compulsive Inventory-Revised
among clinical and non-clinical populations in Japan.
Kaichi Yabe, Masaya Ito, Hironori Kuga, Yasue Mitamura, Kyosuke Kaneko, So Sugita
Background: The Obsessive-Compulsive Inventory-Revised (OCI-R) is a self-report measure of 18-item, widely used to assess six symptom clusters of obsessive-compulsive disorder (OCD). An ultra-brief screening scale for OCD, OCI-4, was developed to screen OCD in non-clinical settings (Abramovitch et al., 2021). However, there is no report of the reliability and validity of OCI-R and OCI-4 among the Japanese clinical and non-clinical populations.
Methods: This secondary analysis was carried out on the data from a nationwide survey among clinical and non-clinical populations in Japan; the OCD group (n = 645), the Social Anxiety disorder (SAD) group (n = 576), and the Non-Clinical group (n = 371). The Japanese version of OCI-R was used. Exploratory factor analysis using the maximum likelihood method was utilized to extract five factors of OCI-R as it assumes five subscales.
Results: The five factors extracted from OCI-R; checking, ordering, neutralizing, washing, and obsessing). The internal consistency for this subscale score was.85, .72, .80, .84, and .72. The items with the greatest factor loading in each factor were shown to be identical to the items selected for OCI-4 in the following three factors/subscales: checking, ordering, and washing. However, an item for the obsessing subscale in OCI-4 showed low factor loading (item 18; factor loading = .378). Instead, we found a different item with the highest factor loading (item 12; factor loading = .889).
Discussion: The five-factor structure is mainly consistent with the results reported in Abramowitz et al. (2021). The sub-scale showed sufficient internal consistency. The three items on the OCI-4 showed strong associations with each factor group. The OCI-R is expected to utilize weekly symptom monitoring during cognitive-behavioral treatments among Japanese patients with OCD. Additionally, it is hoped that easier access to data will lead to activating CBT with network analysis, etc.
