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How to Identify and Prioritize Psychosocial Factors Impacting Stress Level

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  • Mounia N Hocine
  • Karim Aït Bouziad
  • Patrick Légeron
  • William Dab
  • Gilbert Saporta

Abstract

We develop a methodological approach to identify and prioritize psychosocial factors (stressors) requiring priority action to reduce stress levels. Data analysis was carried out on a random sample of 10 000 French employees who completed, during a routine interview with the occupational physician, a 25-item questionnaire about stress levels, as well as a questionnaire about 58 stressors grouped into 5 latent variables: job control, job context, relationships at work, tasks performed and recognition. Our method combines Importance-Performance Analysis, a valuable approach for prioritizing improvements in the quality of services, with Partial Least Squares-Path modeling, a Structural Equation Modeling approach widely applied in psychosocial research. Findings on our data suggest two areas worthy of attention: one with five stressors on which decision makers should concentrate, and another with five stressors that managers should leave alone when acting to reduce stress levels. We show that IPA is robust when answers to questions are dichotomized, as opposed to the initial 6-point Likert scale. We believe that our approach will be a useful tool for experts and decision-makers in the field of stress management and prevention.

Suggested Citation

  • Mounia N Hocine & Karim Aït Bouziad & Patrick Légeron & William Dab & Gilbert Saporta, 2016. "How to Identify and Prioritize Psychosocial Factors Impacting Stress Level," PLOS ONE, Public Library of Science, vol. 11(6), pages 1-11, June.
  • Handle: RePEc:plo:pone00:0157078
    DOI: 10.1371/journal.pone.0157078
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    References listed on IDEAS

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    1. Klaas Sijtsma, 2009. "On the Use, the Misuse, and the Very Limited Usefulness of Cronbach’s Alpha," Psychometrika, Springer;The Psychometric Society, vol. 74(1), pages 107-120, March.
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    Cited by:

    1. Astrid M Chevance & Oumou S Daouda & Alexandre Salvador & Patrick Légeron & Yannick Morvan & Gilbert Saporta & Mounia N Hocine & Raphaël Gaillard, 2020. "Work-related psychosocial risk factors and psychiatric disorders: A cross-sectional study in the French working population," PLOS ONE, Public Library of Science, vol. 15(5), pages 1-14, May.
    2. Chen, Ping-Kuo & Ye, Yong & Wen, Ming-Hui, 2023. "Efficiency of metaverse on the improvement of the green procurement policy of semiconductor supply chain – based on behaviour perspective," Resources Policy, Elsevier, vol. 86(PA).

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