Using the linear and non-linear discriminant function with cluster analysis to study the level of education for the completed stages (governmental – private) In Nineveh Governorate

Abstract

Abstract: The basic idea of this research is to study the influential variables that led to the differences between the performance of public and private schools, and through the use of some linear statistical methods, which are the function of discriminatory analysis and nonlinear methods represented by the function of logistic regression and cluster analysis, where the comparison between the two groups of public and community schools and know the appropriateness of each of the methods used with the applied data of the study community, which includes data The finished stage for the school year(2018-2019) of each of the schools (primary- middle- preparatory(Bio)) in the Nineveh Governorate Education Directorate, to determine the group and the best stage in addition to identifying the variables that affect the performance in order to reach improvement and standardization of the educational path.

Keywords

• keywords: linear discriminatory function
• binary logistic regression
• cluster or pyramidal analysis