Machine-Learning Validated Short Form of the Korean Version of the Sleep-Related Behaviors Questionnaire-10 Items: SRBQ-10
The SRBQ-10, a concise version of SRBQ, enables efficient screening of sleep-related behaviors in clinical settings. Our study framework combining classical test theory, XGBoost, and IRT can be applied to develop and validate shorter versions of other questionnaires.
Authors
- Soyoung Yoo (ORCID: https://orcid.org/0000-0002-2953-508X)
- Young Rong Bang (ORCID: https://orcid.org/0000-0002-2803-6916)
- Seockhoon Chung (ORCID: https://orcid.org/0000-0002-9798-3642)
- Junseok Ahn (ORCID: https://orcid.org/0000-0003-2683-7100)
- Jae Kyoung Kim (ORCID: https://orcid.org/0000-0001-7842-2172)
- Saebom Jeon (ORCID: https://orcid.org/0000-0002-2771-675X)
- Eui Min Jeong
Institutions
- Ulsan College (KR)
- Korea Advanced Institute of Science and Technology (KR)
- Korea University (KR)
- Asan Medical Center (KR)
- Mokwon University (KR)
- University of Ulsan (KR)
- Kootenay Association for Science & Technology (CA)
- Institute for Basic Science (KR)
- Ulsan University Hospital (KR)
- National Institute for Mathematical Sciences (KR)
Publication Details
- Journal
- Behavioral Sleep Medicine
- Published
- 2025-08-22
- DOI
- https://doi.org/10.1080/15402002.2025.2544975
- Citations
- 3
- Primary Topic
- Sleep and related disorders
- Type
- article
- Field-Weighted Citation Impact
- 6.35
Funders
- National Research Foundation of Korea
- Institute for Basic Science