Job Satisfaction And Its Determining Factors Among Journalists Working In Addis Ababa And Federal Mass Media Agencies

The purpose of the study was to examine the level of job-satisfaction and its determining factorsrnamong journalists working in Addis Ababa and Federal mass media agencies. Accordingly, thernstudy questions were targeted to answer the overall level of job-satisfaction in general and acrossrnmedia agencies as perceived by the journalists themselves (perceived); as measured indirectly byrnsatisfaction levels on particular work-related factors (interpolated); and the combined of the aboverntwo (aggregate). Furthermore, the study attempted to find out if there exists a statistically significantrnvariation across demographic variables and association between job-satisfaction and work-relatedrnfactors. The study population included journalists and editors drawn from four media agencies, vis.,rnE.B.C, A.A.M.M.A, E.N.A, & E.P.A. Stratified cluster systematic random sampling method wasrnemployed to sample the respondents from these agencies after the sample size was determinedrnstatistically to ensure equal and proportional probability across media agencies and sexes. Thernresearch design used was mixed research method and to be specific, sequential exploratoryrnresearch design since no research was available to guide the possible sub-constructs thatrnadequately define and capture the construct – job-satisfaction in the Ethiopian context. The datarnobtained through questionnaire was analyzed using descriptive (frequency, percentages, mean andrnstandard deviation) and inferential statistics (independent sample t-test, one-way ANOVA, and,rnPearson product moment multiple regression). Findings on all the three measures of job-rnsatisfaction, i.e., ‘perceived job-satisfaction’, ‘interpolated job-satisfaction’ and ‘aggregate job-rnsatisfaction’, respectively, have indicated that the majority (72%), (66.0%), and (66.0%) of thernjournalists lack job-satisfaction. Data further have shown that there is statistically significantrnvariation across agencies on all the three measures of job-satisfaction have further indicated that.rnAnalysis of data across demographic variables yielded that job-satisfaction show statisticallyrnsignificant variation across most variables, i.e., sex, age groups, educational level, work experiencernas journalists, marital status, pay or monthly salary. Hence, measured on a 0 to 10 scale higherrnlevel of aggregate job-satisfaction was witnessed among older journalists compared to youngerrncohorts, i.e., 41-50 years (M = 5.7590); 31-40 years (M = 5.2156) ; and 20-30 years (M = 4.5939);rnfemale (M = 5.23) male (M = 4.84); those with, relatively, more working experience, i.e., 11-15rnyears (M = 5.4623); 6-10 years (M = 5.4593) ; and 1-5 years (M = 4.6407); married (M = 5.14)rncompared to single (M = 4.57); those with, relatively, higher salary, i.e., Birr 5500-7000 (M =rn5.6553); Birr 4000-5500 (M = 5.0888); Birr 2500-4000 (M = 4.6002); and Birr 1000-2500 (M =rn4.0592). Data responding to the final study question have shown that there is statistically significantrnassociation between levels of job-satisfaction and work-related factors, accordingly, positivernrelationships were found out between levels of satisfaction between pay or monthly salary (r = .752rn), fringe benefit (r = .713), logistic services (r = .710), operational condition (r = .479),rnCommunication (r = .580), Co- worker (r = .582), Supervisor (r = .685), Promotion (r = .744),rnContingent reward (r = .820), and finally, Nature of work (r = .752). Finally, the study, in an attemptrnto find out the predicting power of the work-related factors has found out that contingent rewardrn(beta = .820, P

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