Determining Significant Factors for Selection of Private Higher Education Institutions in Malaysia using Binary Logistic Regression

Abstract

This study aims to statistically identify significant factors that influence IPTS selection in Malaysia using binary logistic regression. There are three phases in this study namely Identification of Variables, Distribution of Questionnaire and Analysis of Results. The variables used in the questionnaire were adapted from the past study of the authors. Nine factors in the selection of HEIs were identified and adapted in this study. Questionnaire was selected as the research tool and electronically distributed to the students of seven IPTS throughout Terengganu with a total response of 305. Results were loaded into SPSS for statistical analysis using descriptive, exploratory, normality, correlation, reliability, and binary logistic regression. The results reveal three significant factors in the selection of IPTS namely Cost, Social Factors and Job Prospects. Although accuracy is high, the model is not suitable for prediction since the variation is less than 70%. Findings for this study could support IPTS marketing strategies and better understanding of IPTS selection criteria in Malaysia.