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• W2188474119 abstract "This study aims to predict mental health of teachers based on variables of job stress, job satisfaction, and job burnout. In this study, the relationship between predictor variables and control variable was examined. This study is correlation using survey approach. It uses descriptive methods with applied goals. Statistical population included all teachers of different educational levels in Marand. Using simple random sampling and Cochran formula, the sample size of 385 was achieved. Participants were evaluated through questionnaires of demography, general health (GHQ-28), job stress of Reagel and Slowcam, job satisfaction of JDI, and job burnout of Mazlack and Jackson. Data was tested using statistical methods of multivariate regression analysis and Pearson correlation coefficients. Results showed a significant and positive correlation between job satisfaction and mental health (r = + 0/93), but a negative and significant correlation between job stress and mental health (r = 0. 87) and job burnout and mental health of teachers (r = - 0/85)." @default.
• W2188474119 created "2016-06-24" @default.
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• W2188474119 date "2014-01-01" @default.
• W2188474119 modified "2023-09-27" @default.
• W2188474119 title "PREDICTING MENTAL HEALTH OF TEACHERS BASED ON VARIABLES OF JOB STRESS, JOB SATISFACTION AND JOB BURNOUT AMONG TEACHERS OF MARAND" @default.
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• W2188474119 hasPublicationYear "2014" @default.
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