Self-efficacy Dimensions as Predictors of Job Burnout among Red Crescent staff of Fars province

The aim of the current study was the prediction of job burnout based on self-efficacy dimensions in the Fars Province Red Crescent society crew.
It was a cross-sectional survey and solidarity studies plan. The research population consisted of all of the Fars Province Red Crescent society’s staff who was working at 2016. The statistical samples included 196 staff members who were selected by random classification method through Morgan’s Table. Data compilation was done using Maslach job burnout inventory and Rigs and Nites job self-efficacy questionnaires. Data were analyzed using SPSS21 software on two statistic Descriptive levels (Average Standard deviation Frequency and Frequency percentage) and inferential statistics.
Findings: The findings indicated that self-efficacy had strong predicted ability for job burnout (p The results were explained base on theoretical foundations and the findings were discussed.