The Use of Partial Least Squares Path Modeling in Investigating the Relationship between Leadership, Motivation and Rewarding

The aim of this study is to introduce the partial least squares path modeling which is a new approach to structural equation modeling, representing the joint point between path analysis and confirmatory factor analysis. The use of this method was tried to be explained by examining the relationship between leadership, motivation and rewarding. Self-designed questionnaire was used for data collection. A private hospital was taken as the sample of the study. The analysis results conclude that there are statistically significant relationship between leadership and motivation and leadership and rewarding, separately. Additionally, the results show that rewarding has a statistically significant effect on motivation. The study also shows that the concepts that led to the establishment of leadership have an important place in the relationship between leadership and motivation. The positive effect of the fair rewarding system on motivation is also located between the results obtained from this study.