Jennifer L Eaton1, David C Mohr, Michael J Hodgson, Kathleen M McPhaul. 1. Department of Veterans Affairs, Office of Patient Care Services, Occupational Health Services (Dr Eaton, Dr McPhaul); Center for Healthcare Organization and Implementation Research, VA Boston Healthcare System (Dr Mohr); School of Public Health, Boston University (Dr Mohr), Boston, Massachusetts; Office of Occupational Medicine and Nursing, Directorate of Technical Support and Emergency Management, Occupational Safety and Health Administration (Dr Hodgson), Washington, DC.
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.
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.
Authors: Susan E Peters; Glorian Sorensen; Jeffrey N Katz; Daniel A Gundersen; Gregory R Wagner Journal: Int J Environ Res Public Health Date: 2021-07-05 Impact factor: 3.390