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<p>Anonymized dataset used for CFA.</p>

Domain:

socioeconomic

Record type:

dataset
Creator:
AbdGarSarHue
Host:avatar

Background

Social determinants of health (SDH) refer to the social factors and processes that influence health outcomes and contribute to inequalities among different populations. With growing interest in assessing how people perceive these determinants within their communities, this study aims to examine the measurement and structural invariance of the Social Determinants of Health Questionnaire (SDH-Q) across countries.

Method

The study was a cross-sectional survey among 860 undergraduate students from Malaysia and Nigeria (430 each). The convenience sampling method was used in selecting the study participants. Confirmatory factor analysis (CFA) and invariance tests were performed on the SDH-Q model across the countries. Other measures computed were composite reliability (CR), internal consistency based on Cronbach’s alpha, average variance extracted (AVE), and test-retest reliabilities using intraclass correlation coefficient (ICC).

Result

The overall CFA results of the final model with 2 factors and 20 items were satisfactory (CFI = 0.936, TLI = 0.918, SRMR = 0.044, RMSEA = 0.053). The CR of the final SDH-Q model (Model 2) were 0.839 and 0.842 for structural determinants and intermediary determinants, respectively. The overall Cronbach’s alpha value was 0.951 and 0.902 for the Malaysian and Nigerian samples, respectively. Further, the findings demonstrated acceptable measurement and structural invariance across the countries for the Malaysian model (CFI = 0.928, TLI = 0.910, SRMR = 0.051, RMSEA = 0.055) and the Nigerian model (CFI = 0.935, TLI = 0.921, SRMR = 0.048, RMSEA = 0.052).

Conclusion

The SDH-Q with two factors and 20 items is shown to possess acceptable psychometric properties among university students in Malaysia and Nigeria. It can be employed to make valid comparisons across the countries.

Visit

figshare.com

Tags

MedicineBiotechnologySociologyScience PolicyChemical Sciences not elsewhere classifiedcronbach &# 8217convenience sampling methodconfirmatory factor analysisaverage variance extractedoverall cfa results+24

Licenses

CC BY 4.0