The objective of the study was to find out the effect of EI and gender on job satisfaction of primary school teachers. A total of 300 (150 male and 150 female) primary school teachers were selected randomly for the study. Emotional Intelligence Scale (EIS) and Teachers' Job Satisfaction Scale (TJSS) were used to collect the data. The study found a significant positive relationship between emotional intelligence and job satisfaction. Regression analysis showed that emotional management and emotional maturity significantly predicted the job satisfaction. The results of the two-way ANOVA showed that the interaction effect of gender and EI was not significant. Results also showed that level of EI significantly affected the job satisfaction of primary school teachers. However, there is no significant difference between male and female teachers regarding the level of job satisfaction. There are other factors which affect job satisfaction but the role of EI cannot be neglected. So the level of EI must be taken into consideration in order to select the best teachers.
Psychological Well-Being (PWB), a multidimensional concept can be affected by various aspects of life. In this study researchers had tried to find out the effect of gender, family type, caste -category and socio-economic status (SES) on psychological well-being of rural population. For this study, 1216 participants were randomly selected. Psychological Well-Being scale constructed by Sisodia and Choudhary (2012) was used to collect data. Critical Ratio and one way ANOVA was computed. Results showed that Gender and Caste significantly affect the psychological well-being while Family type and Socio-Economic Status (SES) did not significantly affect the PWB among the rural population. It can be concluded that female subjects have significantly higher PWB to that of male subjects. Scheduled caste category subjects have significantly higher PWB than that of general category subjects. Middle SES subjects also have significantly higher PWB than the high SES subjects. These findings are discussed to understand the causes of low PWB among male, general caste-category subjects and upper SES subjects so that steps can be taken to enhance the PWB among these groups.
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