Determining the relationship between drivers' level of education, training, working conditions, and job performance in Kenya

Abstract

Abstract One major issue in human resource development (HRD) is to determine factors that predict the performance of employees. The primary purpose of this study was to determine how level of education, training, and the working conditions of matatu (public service vehicle) drivers determined their job performance in terms of reduced road traffic accidents. Proportionate and simple random sampling techniques were employed to select 143 drivers who completed and returned the questionnaires. Multiple regression analysis was used to test the hypotheses stated. The findings indicate that the variables of driver experience and hours worked had a significant relationship with the dependent variable rates of traffic accidents per driver as hypothesized. The variables of education level, training, salary earned, and average speed traveled did not have a significant relationship with the dependent variable.