Diagnosis of The Most Important Factors Affecting The Annual Performance Evaluation of The Teaching Cadres Using The Technique of Binary -Response Logistic Regression

Abstract

The aim of the research is to identify the main factors affecting the evaluation of the annual performance of the teaching staff using the Binary Logistic Regression technique by applying to a random sample of size(217) teaching and teaching staff from four different disciplines (technology, administrative, agricultural, The results of the analysis showed that the completion and publication of scientific research was the most important factor affecting the evaluation of the performance of the teaching staff, followed by the teaching use of modern teaching methods and its incorporation of technology into education.