This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Zavod za fizikalnu medicinu i rehabilitaciju "Dr Miroslav Zotović" , Banja Luka , Bosnia and Herzegovina
Odsjek za psihologiju, Filozofski fakultet, University of Banja Luka , Banja Luka , Bosnia and Herzegovina
Job satisfaction is the cognitive, affective, and evaluative response of an individual to their job. This study aimed to examine whether there are differences in the general job satisfaction depending on the socio-demographic characteristics of healthcare workers: gender, age, level of education, duration of service, marital status, income and work in shifts. The sample consisted of 257 healthcare workers (74.7% female) from Bosnia and Herzegovina, aged 20 to 64 (M=40.75, SD=11.71). We used the general Job Satisfactin Scale (Judge, Thoresen, Bono, & Patton, 2000) and and socio-demographic characteristics questionnaire. For data processing, the t-test, analysis of variance and the post hoc LSD test was used. In the general job satisfaction, a statistically significant difference was calculated, taking into account age (F(3,248)=6.338, p=.000, ηp2=.071), duration of service (F(3,242)=4.775, p=.003, ηp 2=.023), income (F(4,249)=17.662, p=.000, ηp2=.022), and work in shifts (t(252)=3.46, p =.001, ηp2=.045). Healthcare workers aged 31 to 40 years, healthcare workers with less than 10 years of service, healthcare workers who are extremely dissatisfied with income, and healthcare workers working in shifts are the least satisfied with the job. This study's findings indicate that job satisfaction is present in different demographic categories of healthcare workers to varying degrees.
The statements, opinions and data contained in the journal are solely those of the individual authors and contributors and not of the publisher and the editor(s). We stay neutral with regard to jurisdictional claims in published maps and institutional affiliations.