Distinct analysis with senior management levels using SPSS

Abstract

The discriminant analysis is one of the most important statistical analyses used to distinguish multiple variables by studying the most influential variables in the studied phenomenon. In this research, discriminant analysis was used with the top management levels, organizational structure, and job description of the College of Management and Economics at Diyala University. The focus was on the top management level and organizational structure of the educational institution, where the study sample consisted of the top management levels at Diyala University/College of Management and Economics and its organizational structure. Variables such as gender, age, years of service, job position, and duration of service in the management levels within the college's structure and job description were taken into account. The SPSS program was used to obtain the results and the required classification, with an accuracy rate of 90.2% correct, with 55 correctly classified samples. The classification of samples into the second group was 83.8% accurate, with 67 samples out of 80 correctly classified. This resulted in 13 samples being misclassified into the first group, which actually belong to the second group, due to some types of errors