Predicting Job Stress and Job Satisfaction among Registry Staff of Takoradi Technical University in Ghana: A Discriminant Analysis Approach

Michael Bosomtwe, Vera Serwa Nkrumah, Francis Joe Ankumah


The purpose of this paper was to find out the variance of job satisfaction on four job stressors: management role, role ambiguity, role conflict and workload among registry staff of Takoradi Technical University (TTU) in Ghana. A survey research method was adopted for the study and a questionnaire was used to collect data from 85 registry staff in the University through a convenience sampling technique. A discriminant analysis was used to predict job satisfaction of the registry staff into whether I am satisfied with my job or I don’t like my job based on the four job related stressors. The classification model showed that 96.5% of the sampled registry staff were correctly classified as those who did not like their job or those who were satisfied with their job. The summary of canonical discriminant functions with canonical correlation value of 0.942 suggested the model explained 88.7 %  of the variance for the job satisfaction  in terms of four job related stressors: management role, work load, role conflict and role ambiguity. Furthermore, role conflict and role ambiguity topped the factors that the registry staff considered as precursors of job dissatisfaction. This research paper used discriminant analysis approach to group job satisfaction levels of registry staff based on four job stressors: management role, role conflict, role ambiguity and workload which would assist the management to minimise job stress in the University.

Keywords: Job satisfaction, Job stress, Registry staff, Discriminant Analysis, Takoradi Technical University.

DOI: 10.7176/JEP/11-30-15

Publication date:October 31st 2020

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