Combining job stress models in predicting burnout by hierarchical multiple regressions: a cross-sectional investigation in Shanghai.

@article{Dai2008CombiningJS,
  title={Combining job stress models in predicting burnout by hierarchical multiple regressions: a cross-sectional investigation in Shanghai.},
  author={Jun Dai and Sean Collins and Hui Zhu Yu and Hua Fu},
  journal={Journal of occupational and environmental medicine},
  year={2008},
  volume={50 7},
  pages={785-90}
}
OBJECTIVE To compare the predictive validity of the demand control and effort-reward imbalance model, alone and in combination with each other, for job burnout in Shanghai employees. METHODS A sample of 1368 Shanghai employees responded to a core job stress questionnaire and burnout scale in Chinese. Hierarchically moderated multiple regressions were used to analyze the relationship between job stress and burnout. RESULTS All factors from both job stress models predicted 33.5% of the… CONTINUE READING

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