Discriminant Analysis and Logistic Regression Analysis for Predicting the Decision Making to Choose the Government Organization to Work for of the Fourth Year Students in the Faculty of Management Science, Uttaradit Rajabhat University

Abstract

The objectives of this research were to examine the discriminant analysis and logistic regression analysis for prediction in decision making of government organization choices after the 4^th years graduation in the Faculty of Management Science, Uttaradit Rajabhat University. The sample in this research consisted of 212 students in the 4^th years of the Faculty of Management Science, Uttaradit Rajabhat University using discriminant analysis and logistic regression analysis to analyze the proposed hypotheses and using descriptive statistics to analyze demographics data. The findings were found that factors affecting the decision of government organizations choices after graduation include personal factors and expectation variables from the family which were used as variables in the analysis is a significant variable in making the same decision in both methods. And the decision-making pattern using discriminant analysis methods can be accurately identified 73.1 percent and using Logistic regression analysis methods can be accurately identified 74.5 percent.