Akademik Veri Yönetim Sistemi
Anadolu Öğretmen Dergisi, cilt.8, sa.1, ss.21-49, 2024 (Hakemli Dergi)
In this study, it is aimed to analyze the relationship between job satisfaction and burnout levels of physics teachers
and to evaluate differentiation situations in terms of various variables. The sample of the study is 64 physics
teachers working in Altındağ in Ankara. The data used in the study were obtained by used “Personal Information
Form”, “Minnesota Job Satisfaction Scale” and “Maslach Burnout Inventory”. The analysis of the data was carried
out in two stages with the help of statistical software program. Descriptive statistics of the data obtained in the first
stage were examined and it was determined whether the data showed normal distribution within the framework of
various pre-determined variables. In the second stage, the necessary statistical analyzes were made by using
parameters or nonparametric techniques that are compatible with the hypotheses according to whether the data
show normal distribution or not. The results obtained showed that, there is a negative and weak relationship
between points of “Minnesota Job Satisfaction Scale” and “Maslach Burnout Inventory”, job satisfaction, gender,
age, professional service period, marital status, childbearing status, number of children, having additional income.
It has been concluded that there is no difference in terms of independent variables such as the status, tenancy status,
postgraduate education status, in-service training status, number of schools worked, type of school worked, weekly
course hours and administrative duties. In addition, the burnout levels of the individuals participating in the study
is higher than that of men, and the professional burnout status of the teachers who receive postgraduate education
is higher than the teachers who do not receive postgraduate education, age, duration of professional service, marital
status, childbearing status, number of children. It has also been obtained that there is no difference in terms of
independent variables such as income status, tenancy status, in-service training status, number of schools worked,
type of school worked, weekly course hours and administrative duties.