Psychometric Evaluation of Bengali, Hindi, and Kannada Versions of the Yale–Brown Obsessive Compulsive Scale

The translated versions of Y-BOCS investigated in this study are psychometrically reliable and valid measures for the assessment of severity in the Indian population with OCD.

Authors

Institutions

Publication Details

Journal
Indian Journal of Psychological Medicine
Published
2025-05-03
DOI
https://doi.org/10.1177/02537176251335095
Citations
2
Primary Topic
Obsessive-Compulsive Spectrum Disorders
Type
article
Field-Weighted Citation Impact
4.61
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Psychometric Evaluation of Bengali, Hindi, and Kannada Versions of the Yale–Brown Obsessive Compulsive Scale

Vasundhra Teotia, Dhritiman Das, T. S. Jaisoorya, Kandavel Thennarasu et al.
2 citations
Indian Journal of Psychological Medicine
Obsessive-Compulsive Spectrum Disorders
4.61
article

Psychometric Evaluation of Bengali, Hindi, and Kannada Versions of the Yale–Brown Obsessive Compulsive Scale

Vasundhra Teotia, Dhritiman Das, T. S. Jaisoorya, Kandavel Thennarasu, Shyam Sundar Arumugham, Praveen Raj, Anirban Dutta, Karthik Sheshachala, YC Janardhan Reddy, Himani Kalra
article en
2 citations

Abstract

The translated versions of Y-BOCS investigated in this study are psychometrically reliable and valid measures for the assessment of severity in the Indian population with OCD.

Indian Journal of Psychological Medicine
National Institute of Mental Health and Neurosciences (IN)
Quality Education
Openalex Percentile: Top 7%
Obsessive-Compulsive Spectrum Disorders
4.61
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.