Open AccessTHE IMPACT OF SCHOOL ENVIRONMENT ON TEACHERS’ JOB SATISFACTION IN SECONDARY SCHOOLS
Author(s) -
Marinette Bahtilla,
Xu Hui
Publication year - 2021
Publication title -
european journal of education studies
Language(s) - English
Resource type - Journals
ISSN - 2501-1111
DOI - 10.46827/ejes.v8i7.3799
Subject(s) - job satisfaction , psychology , simple random sample , variables , data collection , descriptive statistics , regression analysis , sample (material) , job attitude , job performance , validity , population , applied psychology , statistics , social psychology , mathematics , developmental psychology , psychometrics , medicine , chemistry , environmental health , chromatography
This quantitative correlational study examined the relationship between the school environment and teachers’ job satisfaction. The study focused on finding the extent to which four predictors of the school environment (teachers’ collaboration, motivation, instructional materials, and teachers’ participation in decision making) predict teachers’ job satisfaction. Besides, the study also aimed at determining which variable is the best predictor of teachers’ job satisfaction. This study was guided by the following research questions: (1) To what extent does teachers’ collaboration influence their job satisfaction? (2) To what extent does teachers’ participation in decision-making influences their job satisfaction? (3) To what extent does motivation influence teachers’ job satisfaction? (4) To what extent do instructional materials influence teachers’ job satisfaction? The simple random sampling technique was used for this study. The sample population was made up of all 550 teachers in 15 public secondary schools, 320 females and 230 males. A questionnaire was used as an instrument for data collection. The instrument’s validity and reliability were ensured. Descriptive and inferential statistics were used for data analysis. Pearson product-moment correlation was used to determine the relationships between the independent variables and the dependent variable. Simple linear regression was used to determine the amount of variance in the dependent variable accounted for by each independent variable. In addition, a multiple regression was used to assess the ability of four control measures to predict teachers’ job satisfaction and to find out which of the independent variables is the best predictor of teachers’ job satisfaction. The study found out that all the independent variables make a unique and statistically significant contribution to predicting teachers’ job satisfaction. The model explains 84.9% of the variance in teachers’ job satisfaction. Teachers’ participation in decision-making made the largest contribution (Beta= .626). This reveals that teachers’ participation in decision-making is the best predictor of teachers’ job satisfaction, followed by motivation (Beta= .532). This study provides useful findings which have implications for school leaders and policy-makers. Article visualizations: