Examination of the Factors Affecting Teachers' Job Satisfaction Levels with Binary Logistic Regression Analysis

This research aims to determine the factors affecting the job satisfaction levels of teachers. A binary logistic regression analysis was used for this purpose. The research sample consists of 322 teachers working in primary schools in Siirt city centre in the 2021-2022 academic year, selected using a simple random sampling method. According to the research result, the variables of organisational identification, gender, educational background and number of teachers significantly predict the prospect of teachers’ job satisfaction levels being in the sufficient group, and the remaining variables (marital status, duration of working with the school principal and age) were found to have no significant effect. Regarding the significance of the regression coefficients in the research model, the order of importance of the predictor variables from the largest to the smallest was determined as organisational identification, gender, number of teachers and educational background.