NDLI: Health behavior inventory – short form: a Chinese validation study using classical test theory and item response theory

Content Provider	Springer Nature : BioMed Central
Author	Tong, Lai Kun Au, Mio Leng Zheng, Mu Rui Liu, Yong Bing Fu, Guang Lei Li, Yue Yi
Abstract	Background It is imperative to use a validated tool to measure and understand health behavior as it greatly impacts health status. It has been demonstrated that the Health Behavior Inventory - Short Form (HBI-SF) is valid in several countries. The purpose of this study was to translate the HBI-SF into Chinese and test its psychometric properties. Methods This study employed a two-phase methodology. The phase one entailed the cross-cultural adaptation of the HBI-SF, while the subsequent phase evaluated the psychometric properties of the scale. This evaluation encompassed classical test theory (CTT) and item response theory (IRT) tests to assess reliability and validity. It involved 1058 participants, of whom 1036 completed the questionnaire successfully. Out of these, 518 were analyzed for CTT, along with 518 for IRT. Results The S-CVI was found to be 0.935, while the I‐CVI ranged from 0.889 to 1.000. The results of the confirmatory factor analysis suggested the goodness-of-fit indices for the four-factor model was acceptable. Regarding the subscales, the average variance extracted (AVE) and Heterotrait-Monotrait Ratio of Correlations (HTMT) matrix also met the cutoff values (AVE > 0.5 and HTMI < 0.85). Furthermore, the internal consistency and composite reliability indices of all factors were greater than 0.7. Infit and/or outfit values indicated that all items fitted the Rasch model. The Wright map revealed that the average person measures for the participants (mean = − 0.994, SD = 0.430) were comparatively lower than the average item measures (mean = 0.000, SD = 0.257). The person separation reliability values for the four factors ranged from 0.600 to 0.746, indicating an acceptable level of reliability. Two items showed differential item functioning. Conclusions The findings derived from both CTT and IRT analyses demonstrate favorable levels of reliability and validity for the Chinese version of the HBI-SF.
Related Links	https://bmcpublichealth.biomedcentral.com/counter/pdf/10.1186/s12889-024-19774-2.pdf
Ending Page	10
Page Count	10
Starting Page	1
File Format	HTM / HTML
ISSN	14712458
DOI	10.1186/s12889-024-19774-2
Journal	BMC Public Health
Issue Number	1
Volume Number	24
Language	English
Publisher	BioMed Central
Publisher Date	2024-08-22
Access Restriction	Open
Subject Keyword	Public Health Medicine Epidemiology Biostatistics Vaccine Environmental Health Health behavior Psychometric properties Health behavior inventory – short form China Medicine/Public Health
Content Type	Text
Resource Type	Article
Subject	Public Health, Environmental and Occupational Health
Journal Impact Factor	3.5/2023
5-Year Journal Impact Factor	3.9/2023

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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