Open AccessJob Stresses and Moderating Role of Emotional Intelligence in Improving the Performance of Primary School Teachers, an Empirical Study
Author(s) -
Iqbal Shoukat,
Muḥammad Musḥtaq Aḥmad,
Nadeem Ahmed
Publication year - 2019
Publication title -
journal of sociological research
Language(s) - English
Resource type - Journals
ISSN - 1948-5468
DOI - 10.5296/jsr.v10i1.13924
Subject(s) - emotional intelligence , psychology , job satisfaction , job performance , association (psychology) , applied psychology , job attitude , job stress , regression analysis , moderation , stratified sampling , correlation , social psychology , statistics , mathematics , geometry , psychotherapist
In modern era the increase in stress affects all domain of life. Job stress is a crucial problem and job performance is affected in a positive or negative manner. Job satisfaction and emotional intelligence are two important variables in organizational behavioral studies, and are key factors in promoting the efficiency of organizations. The present study was conducted to determine the correlation of job satisfaction and emotional intelligence of the employees. The study was conducted in 28 private and public primary schools to chalk out the association between job performance and job stress, moderated by using the emotional intelligence. This cross-sectional study was performed on 335 employees of Primary Schools, who were selected using convenient and random stratified method. Pre-tested questionnaires were administered to 335 school teachers to collect the information, which was then analyzed statistically by using the SPSS (23.0) measures. Bar-on emotional intelligence and job satisfaction questionnaires were used in this study. The result revealed that there was a direct positive association between job stress and job performance. This association helped to influence and improve the performance of the staff when moderated by emotional intelligence, which has a highly significant interactive role in this regard. The data were analyzed using statistical methods such as goodness of fit tests and regression and correlation analyses.