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

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Abstract

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.

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