Bibliographic citations
Salas, R., (2023). Estilos de afrontamiento de estrés y satisfacción laboral en colaboradores de una organización sin fines de lucro, Perú 2022 [Universidad Católica Santo Toribio de Mogrovejo]. http://hdl.handle.net/20.500.12423/7488
Salas, R., Estilos de afrontamiento de estrés y satisfacción laboral en colaboradores de una organización sin fines de lucro, Perú 2022 []. PE: Universidad Católica Santo Toribio de Mogrovejo; 2023. http://hdl.handle.net/20.500.12423/7488
@misc{renati/583849,
title = "Estilos de afrontamiento de estrés y satisfacción laboral en colaboradores de una organización sin fines de lucro, Perú 2022",
author = "Salas Silva, Renyel Jesus",
publisher = "Universidad Católica Santo Toribio de Mogrovejo",
year = "2023"
}
Coping with stress is important when you want to understand the organizational behavior of employees, since from this it will be easier for companies to establish guided plans to improve these coping resources. In turn, keep in mind that job satisfaction is directly related to the way employees perceive certain stressful situations. For this reason, this non-experimental investigation of a descriptive correlational type was planned, where the general objective was to determine the relationship between stress coping styles and job satisfaction, and specifically, to identify the predominant stress coping style, the level of job satisfaction, the relationship between stress coping styles and job satisfaction dimensions, and the level of stress coping styles and job satisfaction according to age, sex, position and location in 503 employees of a non-profit organization profit; through the Coping with Stress Questionnaire (COPE), with a reliability of 0.79, and the Job Satisfaction Scale SL-SPC with a reliability of 0.76. Where it was found that additional stress coping styles are predominant, and the predominant level of job satisfaction is average, wich were in the same way in the sociodemographic variables. Concluding that there is no statistically significant correlation between both variables.
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