استخدام تقنية الانحدار اللوجستي ثنائي الاستجابة وتقنية الانحدار الخطي المتعدد لتشخيص العوامل المؤثرة في ارتفاع نسب الرسوب في التعليم العالي دراسة حالة في احدى كليات التعليم العالي

Abstract

The process of identifying the main reasons for the high rate of failure in higher education one of the most important indicators for the advancement of the process of economic development because it represents a university student from the national wealth contributes to the advancement of that process and for that he wanted researcher to identify the most important determinants of the moral influence (Significant) using a technique logistic regression binary response logistic Regression)) and compared to the results obtained if the method was used multiple linear regression (Multiple Regression) For the purpose of reaching these facts have been pulling a simple random sample size of 136 students from all sections of the technical College Administrative - Baghdad, all of ( Department of Informatics , Department of Total Quality Management , Department of Finance and accounting , Department of operations Management ) and studies the morning and evening , I've touched on five (5) axes researcher believes that it effects effective on the high repetition rates and these themes relating to the following matters ( the economic situation, the circumstances security , the desire for scientific section , and the axis of full-time study, and other factors affecting another form ) and included all the focus group of independent variables (Independence Variables) kind of binary response (Binary Response) has been tested hypotheses nothingness (H0) for the independent variables ( all axes ) all according to the H0 = bi = 0 i = 1,2, .... 5Indicate (bi) to the regression coefficients of the independent variables according to the approved level of significance ( 0.05 ) .The researcher found the following results:-1 - to influence axes contrast resolution in both methods for high repetition rates in higher education through the creation of transactional models to build a mathematical model fitting .2- The test (Hosmer And Lemeshow) your quality Tawfiq form highly significant influence on the dependent variable (high repetition rates in higher education).3 - accounted for the correct classification of the impact of all the variables axes (73.5 % ) with the classification error rate of (26.5 % ).4 - all proven formula all variables significant relationship between them and the dependent variable ( high repetition rates in higher education ).5 - the difference different axes to interpret and clarify its impact on the dependent variable .