BAYESIAN LOGISTIC REGRESSION ANALYSIS OF FACTORS AFFECTING JOB SATISFACTION AMONG SCHOOL TEACHERS: A CASE STUDY AT PRIMARY AND SECONDARY SCHOOLS IN SHASHEMENE TOWN, ETHIOPIA

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sano Kedir Mohammed

Abstract

This study has dealt with factors affecting the level of job satisfaction among school teachers at Shashemene town in 2010/11 academic year. Data were obtained from primary and secondary sources. A cross-sectional survey was conducted on a total of 405 teachers from different government and non-government schools using stratified random sampling technique. A designed questionnaire was used to obtain data on socio-economic and demographic information, overall levels of job satisfaction using Minnesota satisfaction questionnaire and teachers feeling in many aspects of the job. It was found that eight unobserved variables had significant effects on job satisfaction. These were motivation, working condition, payment condition, co-workers condition (colleagues), school administration, curriculum condition, personal life and student behaviors. Other factors such as school facility and growth opportunity were not found to have significant effects at 5% significance level.

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How to Cite
Mohammed, sano K. (2020). BAYESIAN LOGISTIC REGRESSION ANALYSIS OF FACTORS AFFECTING JOB SATISFACTION AMONG SCHOOL TEACHERS: A CASE STUDY AT PRIMARY AND SECONDARY SCHOOLS IN SHASHEMENE TOWN, ETHIOPIA. International Invention of Scientific Journal, 4(09), Page : 1413–1438. Retrieved from https://iisj.in/index.php/iisj/article/view/267