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Item Factors Influence on Job Satisfaction of Graduate Employees in Sri Lanka’s Manufacturing Industry(Department of Social Statistics, Faculty of Social Sciences, University of Kelaniya Sri Lanka, 2022) Karunarathne, S.N.K.; Kodithuwakku, D.S.It is important to have a satisfied workforce in an organization to build up a successful organization. Hence, the study aims to identify the factors that affect job satisfaction among graduate employees in Sri Lanka's manufacturing industry. The sample population of the study was all the graduate employees of the main five sub-sectors in Sri Lanka’s manufacturing Industry. The sample (n=156) was selected from the sample population by using the stratified sampling method. Primary data was collected through a questionnaire. Initially, the study applied factor analysis and chi- squared test to derive the objective of the study. The factor analysis revealed five factors that influence job satisfaction among graduate employees. They are1- Company Policies and Supervision, 2- Working Conditions, 3- Work Itself, 4- Recognition and Advancement, 5-Job Security, and Human Relationships. Additionally, the chi- square test is used to identify the demographic factors that affect the employees’ job satisfaction. The results showed that the degree obtained by the employees had a significant impact on their job satisfaction.Item Factors Influence on Job Satisfaction of Graduate Employees in Sri Lanka’s Manufacturing Industry(Department of Social Statistics, Faculty of Social Sciences, University of Kelaniya Sri Lanka, 2022) Karunarathne, S.N.K.; Kodithuwakku, D.S.It is important to have a satisfied workforce in an organization to build up a successful organization. Hence, the study aims to identify the factors that affect job satisfaction among graduate employees in Sri Lanka's manufacturing industry. The sample population of the study was all the graduate employees of the main five sub-sectors in Sri Lanka’s manufacturing Industry. The sample (n=156) was selected from the sample population by using the stratified sampling method. Primary data was collected through a questionnaire. Initially, the study applied factor analysis and chi- squared test to derive the objective of the study. The factor analysis revealed five factors that influence job satisfaction among graduate employees. They are1- Company Policies and Supervision, 2- Working Conditions, 3- Work Itself, 4- Recognition and Advancement, 5-Job Security, and Human Relationships. Additionally, the chi- square test is used to identify the demographic factors that affect the employees’ job satisfaction. The results showed that the degree obtained by the employees had a significant impact on their job satisfaction.Item Statistical Analysis of Road Traffic Accidents (RTAs) in Sri Lanka(Department of Social Statistics, Faculty of Social Sciences, University of Kelaniya Sri Lanka, 2021) Kodithuwakku, D.S.; Peiris, T.S.G.Road Traffic Accidents (RTAs) are one of the most prominent public health problems as it is a leading cause of death by injury and all deaths globally. This study, therefore, intended to determine the significant factors associated with RTAs in Sri Lanka (2005 - 2019) and the impact of those factors using data obtained from the Department of Police, Sri Lanka. The leading causes for RTAs are overtaking, speed driving and diversion and about 80% RTAs are due to these factors. The percentage of RTAs due to alcohol consumption by the driver is around 9%. Both exploratory and confirmatory factors analysis found that the causes for RTAs can be classified into two independent factors namely, (i) negligence of pedestrians & drivers and (ii) lack of attention of the driver. These factors are invariant by the factor extraction method and the type of orthogonal rotation. The condition of road the surface, light condition of the road, the situation of weather, type of vehicle and age of the driver are significantly influential factors in fatal accidents. The highest percentage of fatal accidents have occurred when the road is wet and light condition is poor during night. The inferences derived from this study can be effectively used for policy decisions related to traffic in order to minimize RTAs in Sri Lanka. The study confirmed the benefits of data-driven decision-making for policy decision process.