National Journal of Advanced Research

National Journal of Advanced Research


ISSN: 2455-216X

Vol. 5, Issue 1 (2019)

Components of Workload Management as Predictors of Job Performance of University Lecturers in Rivers State, Nigeria

Author(s): Aderiye Precious Chituru, Ohia Adanma Ngozi
Abstract: This study ascertained the extent to which components of workload management predict job performance of university lecturers in Rivers State, Nigeria. Correlational research design was adopted for the study. A sample of 600 university lecturers was selected for the study through purposive sampling technique. Two instruments namely “Workload Management Strategies Questionnaire” (WMCSQ) and “Lecturers’ Job Performance Scale” (LJPS) were used for data collection. The face and content validities of the instruments were established. Reliabilities of WMSQ and LJPS were determined through Cronbach alpha and test-retest methods respectively. Overall reliability coefficients of 0.72 and 0.70 were obtained for WMCSQ and LJPS respectively. Mean, standard deviation, multiple regression, and ANOVA associated with multiple regression were used for data analysis at .05 level of significance. Results obtained among others were that: Teaching a large class, supervising more than five students’ theses, dissertations, and projects in a semester, handling more than five courses in a semester constitute workload among university lecturers; components of workload management (distancing, avoidance, social support, planful, and emotion-focused) jointly contribute to job performance of university lecturers by 28.4% as indicated by the coefficient of determination. Based on the findings of the study, recommendations were made among which is that; government should ensure that universities in Nigeria are adequately staffed to reduce the level of workload on university lecturers.
Pages: 114-118  |  302 Views  91 Downloads
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