Modeling Employee Burnout and Stress Levels Using Generalized Linear Models

Abstract

In recent years, mental health has become a more prominent problem worldwide. One specific area of rising concern is the increase in the amount of stress and burnout that many people are experiencing. This research seeks to investigate the factors that are affecting stress and burnout as they pertain to the workplace environment. A series of multinomial logistic regression models and Poisson regression models are used to identify the factors affecting employees’ stress and burnout with respect to the workplace environment using the most recent Work, Family, and Health Study (WFHS) dataset from the Work, Family, and Health Network. This research found that important factors affecting stress and burnout include decision authority, job demands, and job satisfaction

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This paper was published in Digital Commons @ Butler University.

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