The Social Capital of Schools: Logistic Prediction Between Variables

Abstract

The presence of social capital influences success and enriches the relationship networks between individuals. It can be said that the main goals of the social capital of schools is to increase the success of teachers and students. A logistic regression model, which is a relational study method, was formed within the context of this study. The study group consisted of 548 teachers who were employed in 47 secondary schools located within the Provincial Centre of Sivas Province. In this study, the compatibility level of the model was analyzed via the R² value. The R² value evaluates the power of relationship between the dependent variable and independent variable. McFadden, Cox-Snell, and Nagelkerke R² statistics are the most applied R² statistics. The obtained R² values were similar to those found by Cox and Snell (.333), Nagelkerke (.358) and McFadden (.153). When Nagelkerke value is analyzed, it reveals what percentage of the dependent variable is explained by the independent variables. As such, the independent variable explained 35.8% of the dependent variable. According to the results of the analysis, teachers’ perception of ethical leadership for their managers has some significant effects on their perception of social capital.