A comparison of data analysis results between discriminant analysis and logistic regression analysis methods : a case study of variables discriminating democratic way of life of higher education students
Abstract:
The purpose of this research was to compare the data analysis results between discriminant analysis method and logistic regression analysis method by using variables discriminating democratic way of life of higher education students. The samples consisted of 1,056 second year to the fourth year students from seven higher institutions in Bangkok. The questionnaires was used for data collection about students' background, institution and attribute. The obtained data were analyzed by means of percentage, arithematic mean, standard deviation, discriminant analysis and logistic regression analysis. Major findings were as follows: 1. The results from discriminant analysis shew significant variables that could discriminate between groups of high and low democratic way of life were participating co-curricular activities, receiving information from mass media, and classroom atmosphere. 2. The results from logistic regression analysis shew significant variables relates with students' democratic way of life were participating co-curricular activities, receiving information from mass media, classroom atmosphere, higher education students of engineering department, personality and father's occupation as company employees. 3. The function of discriminant model could explained about 43.33589 of group variance and had 82.92 efficiency of group classification. When comparing between the two methods, the discriminant model has little more percentage of explained variance than logistic model but the group classification efficiencies were not significant different.