Education Reform Journal - Volume 9 - Number 1 - Examination of the Factors Affecting Teachers’ Job Satisfaction Levels with Binary Logistic Regression Analysis

Oct 15, 2026

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Research examines the factors influencing teachers’ job satisfaction levels using binary logistic regression. The study sample includes 322 teachers from primary schools in Siirt city centre during the 2021–2022 academic year, selected through simple random sampling. Results show organisational identification, gender, educational background, and number of teachers significantly predict satisfaction levels, placing teachers in the sufficient group. Other variables (marital status, time with the principal, and age) show no significant effect. Predictor importance ranks organisational identification first, followed by gender, number of teachers, and educational background.

LanguageEnglish

CategoryExam

FormatPDF

Pages18

Reading Time45 min

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Abstract

Introduction

Job satisfaction: definitions and concepts

Theories of job satisfaction

Motivation, organisational outcomes, and personal factors

Education Reform Journal Volume 9 Number 1 , 2024 [http://dx.doi.org/10.5281/zenodo.10811790](http://dx.doi.org/10.5281/zenodo.10811790) e-ISSN: 2602-3997 Examination of the Factors Affecting Teachers’ Job Satisfaction Levels with Binary Logistic Regression Analysis * Mehmet Sabir ÇEVİK 1 Submitted: August 29, 2022; Accepted: March 4, 2024; Published Online: June 30, 2024 Abstract 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. Keywords: Job satisfaction, organisational identification, binary logistic regression. Introduction Professional life is a significant part of human life. Therefore, professional activities in daily life are considered among the determinants of a person ’s ability to gain a place in social life and to have good living conditions (Nal & Nal, 2018; Şahin, 2013) . The most crucial benefit of jobs for individuals is that they provide a working environment and meet the psychological, economic and social needs of individuals (Köroğlu, 2011) . Similarly, the benefit or contribution of jobs to individuals is considered among the critical factors affecting the success or failure of organisations (Greenberg & Baron, 2003; Koustelios, 2001; Taşdan & Tiryaki, 2008). Naturally, the attitude of individuals toward their jobs and the sense of pleasure about their jobs raise an important issue such as job satisfaction. Job satisfaction is the general thoughts, emotional patterns and attitudes of the organisation ’s members about their jobs or workplaces (Huie et al., 2020; Saba, 2011; Saraf et al., 2007). Alonso (2006), Hodgetts (1991) and Weiss (2002) define job satisfaction as the emotional reactions of the employees of the organisation to their working conditions. However, from a different perspective, Ceresia (2010) defines *This research was presented as an oral paper at the EYFOR-XIII Congress, 11-15 May 2022. 1 Siirt University, School of Physical Education and Sports, Assistant Professor, Siirt, Turkey, ORCID 0000-0002- 8817-4747, [mehmetsabir.cevik@siirt.edu.tr](mehmetsabir.cevik@siirt.edu.tr) job satisfaction as the consistency between the organisation ’s and employees’ expectations. Nevertheless et al. (2004) draw attention to the fact that the most widely adopted explanations and definitions of job satisfaction were made by Locke (1983) . Locke (1983) defines job satisfaction as the sum of general contentment and positive emotions resulting from the individual’s doing their job with pleasure. It is also possible to consider job satisfaction as the level of pleasure and enjoyment resulting from the harmony of the individual’s personality and job characteristics (Akgündüz, 2013). Umaru and Ombugus (2017) assert that it is a more proper approach to address job satisfaction as a psychological reaction to work. Looking at the explanations and definitions of job satisfaction as a whole, it can be stated that job satisfaction corresponds to the positive feelings that individuals or employees of the organisation have about their jobs, the pleasure they derive from th

FAQs

What is the main purpose of this research on teachers’ job satisfaction?

The research aims to determine the factors affecting teachers’ job satisfaction levels using binary logistic regression analysis.

How is the study sample selected and how many teachers are included?

The 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.

Which variables significantly predict teachers’ job satisfaction levels?

Organisational identification, gender, educational background, and number of teachers significantly predict whether teachers fall in the sufficient group regarding job satisfaction levels.

What variables were found to have no significant effect in the regression model?

Marital status, duration of working with the school principal, and age were found to have no significant effect on teachers’ job satisfaction levels.

Oct 15, 2026

Uploaded by Jiven