Development and Validation of the Work-Related Well-Being Index Analysis of the Federal Employee Viewpoint Survey

Objective: To describe development and validation of the work-related well-being (WRWB) index. Methods: Principal components analysis was performed using Federal Employee Viewpoint Survey (FEVS) data (N = 392,752) to extract variables representing worker well-being constructs. Confirmatory factor analysis was performed to verify factor structure. To validate the WRWB index, we used multiple regression analysis to examine relationships with burnout associated outcomes. Results: Principal Components Analysis identified three positive psychology constructs: "Work Positivity'', "Co-worker Relationships'', and "Work Mastery''. An 11 item index explaining 63.5% of variance was achieved. The structural equation model provided a very good fit to the data. Higher WRWB scores were positively associated with all three employee experience measures examined in regression models. Conclusions: The new WRWB index shows promise as a valid and widely accessible instrument to assess worker well-being.