Factors Influencing High School Students’ Decision in Eastern Economic Corridor area (EEC) to Choose Vocational School over University: Binary Logistic Regression Analysis

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Jeerayu Khowchernklang
Charoonsri Madilokkovit
Pruet Siribanpitak


The aim of this paper is to shed light on the influential factors that influence high school student’s decision to choose vocational education over university among students in Eastern Economic Corridor area (EEC). The objectives of the research were to explore their education decision after graduation and to analyze the influential factors affecting their decision for the students who chose vocational education after high school instead of university. This research was conducted among 904 high school students in EEC area who were choosing their higher education in the last semester of the academic year (2020). The research tool was a survey questionnaire and the statistics applied were the frequency, percentage as well as a Binary Logistic Regression which was employed to analyze the significance of key influential factors.

The research revealed that most students chose the university for 75%, vocational college for 14% and only 7% chose not to study after high school. For students who chose vocational college, the results showed that the influential factors affecting their decision is a labor demand signaling both area-based demand for labor in EEC area and industry-based demand which is the demand for labor in S-Curve & New S-curve industries. While gender and dual degree offers for vocational college also affect student’s decision to vocational education as well. The prediction accuracy for the students was 86.6%. These research findings can be used as a guideline to promote and encourage students to study further in vocational education that has already become an excessive demand in the EEC labor market.


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Khowchernklang, J., Madilokkovit, C., & Siribanpitak, P. (2021). Factors Influencing High School Students’ Decision in Eastern Economic Corridor area (EEC) to Choose Vocational School over University: Binary Logistic Regression Analysis. sia ocial ssues, 14(6), Article 250133 (12 pages). etrieved from https://so06.tci-thaijo.org/index.php/asi/article/view/250133
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