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dc.contributor.authorRukundo, Victor
dc.date.accessioned2022-03-29T13:27:52Z
dc.date.available2022-03-29T13:27:52Z
dc.date.issued2022-03
dc.identifier.urihttp://hdl.handle.net/20.500.12281/11388
dc.description.abstractThe objective of the study was to identify the factors that affect employee performance at Wakiso district local government main headquarters. Specifically, age, gender and employee education as factors that affect employee performance were investigated and only age was found to have a significant effect on employee performance. Primary data was used in this study and it was collected using questionnaires from 96 respondents who were employees of Wakiso district local government main headquarters and analysis was done using frequency distribution tables, Pearson chi square test for independence and ordinal logistic regression. From the results, over half of the respondents (62.5%) were males and (37.5%) were females. Findings from the bivariate analysis showed that age, gender and employee education were all associated with employee performance (p<0.05). However, only age of employee was significant at the multivariate level. The results from this study suggestedthat more emphasis should be put on the age of an employee before recruitment of the employee as older employees performed better compared to younger ones. Results further suggested that human resource managers should rethink consideration of very high academic qualifications before employing someone. Results further advocated for equal employment opportunities for both males and females as there were no significant gender effects on employee performance to ensure females are not denied opportunities of reaching the pinnacle of their careers in certain occupations owing to stereotypic beliefs.en_US
dc.language.isoenen_US
dc.publisherMakerere Universityen_US
dc.subjectEmployee performanceen_US
dc.subjectLocal government employeesen_US
dc.subjectJob competenceen_US
dc.titleFactors affecting employee performance at Wakiso District Local Governmenten_US
dc.typeThesisen_US


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