ArticleJournal of preventive medicine and public health = Yebang Uihakhoe chi2026
Psychometric Properties of the Areas of Worklife Survey in an Industrial Context in Thailand.
Article in Journal of preventive medicine and public health = Yebang Uihakhoe chi, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed.
- Physical activity and its associated factors and health correlates: a cross-sectional study of the occupational population in China's economically developed regions.Frontiers in public health · 2026Article
- The impact of supervisor control on employee performance and wellbeing in COVID-19 telecommuting: based on the Job Demands-Resources model.Frontiers in psychology · 2026Article
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Funding
Abstract
objectivesThe Areas of Worklife Survey (AWS) is widely used to assess organizational factors contributing to burnout. However, evidence regarding its construct and criterion validity has been reported primarily in human service settings. This study evaluated the construct validity of the AWS measurement model and the criterion validity of the AWS-burnout relationship among industrial workers in Thailand.
methodsIn this cross-sectional study, a Thai-language electronic questionnaire was administered to 446 industrial workers between June 2024 and August 2024. Of these, 390 participants (87.4%) completed both the AWS and the Maslach Burnout Inventory-General Survey. Data were analyzed using confirmatory factor analysis within a structural equation modeling framework.
resultsA modified 6-factor (chi-square/degree of freedom [χ²/df], comparative fit index [CFI], Tucker- Lewis index [TLI], root mean square error of approximation [RMSEA], and standardized root mean square residual [SRMR]) AWS model-excluding 5 items and allowing 2 correlated error terms-demonstrated satisfactory fit (χ²(213)=436.02, p<0.001; χ²/df=2.05; CFI=0.94; TLI=0.92; RMSEA=0.053; SRMR=0.053). Convergent validity (composite reliability=0.74-0.87; average variance extracted [AVE]=0.49-0.58) and discriminant validity were acceptable for most dimensions; however, the Fairness dimension (AVE=0.36) and the Reward-Fairness correlation remained problematic. The partial mediation model demonstrated acceptable criterion validity, with all mediation paths-except reward to values-reaching statistical significance.
conclusionsThe AWS is a valid measure for assessing factors contributing to burnout among Thai industrial workers. Nevertheless, further refinement is necessary to ensure strong dimension-specific validity with minimal modification.
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