General Job Stress: A Unidimensional Measure and Its Non-linear Relations with Outcome Variables
| Autor: | Maya Yankelevich, Ashley M. Guidroz, Alison Broadfoot, Michael A. Gillespie, Jennifer Z. Gillespie |
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| Rok vydání: | 2011 |
| Předmět: |
ComputingMilieux_THECOMPUTINGPROFESSION
Sample (statistics) Job attitude General Medicine Outcome (probability) Test (assessment) Psychiatry and Mental health Clinical Psychology Scale (social sciences) Psychological well-being Stress (linguistics) Job satisfaction Psychology Social psychology Applied Psychology |
| Zdroj: | Stress and Health. 28:137-148 |
| ISSN: | 1532-3005 |
| DOI: | 10.1002/smi.1413 |
| Popis: | This article aims to examine the non-linear relations between a general measure of job stress [Stress in General (SIG)] and two outcome variables: intentions to quit and job satisfaction. In so doing, we also re-examine the factor structure of the SIG and determine that, as a two-factor scale, it obscures non-linear relations with outcomes. Thus, in this research, we not only test for non-linear relations between stress and outcome variables but also present an updated version of the SIG scale. Using two distinct samples of working adults (sample 1, N = 589; sample 2, N = 4322), results indicate that a more parsimonious eight-item SIG has better model-data fit than the 15-item two-factor SIG and that the eight-item SIG has non-linear relations with job satisfaction and intentions to quit. Specifically, the revised SIG has an inverted curvilinear J-shaped relation with job satisfaction such that job satisfaction drops precipitously after a certain level of stress; the SIG has a J-shaped curvilinear relation with intentions to quit such that turnover intentions increase exponentially after a certain level of stress. Copyright © 2011 John Wiley & Sons, Ltd. |
| Databáze: | OpenAIRE |
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