Multinomial Logistic Regression for The Analysis of Career Decision Style in Teacher Education

This study aims to identify students' styles of career choices. The second aim is to investigate what factors influence career choice style. The third aim is to determine whether all students of education programs want to become teachers one day. This research model is a relational model that u...

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Bibliographic Details
Published in:European Journal of Educational Research
Main Author: Widiyanto; Nurkhin A.; Yulianto A.; Daud N.M.
Format: Article
Language:English
Published: Eurasian Society of Educational Research 2023
Online Access:https://www.scopus.com/inward/record.uri?eid=2-s2.0-85152660283&doi=10.12973%2feu-jer.12.1.329&partnerID=40&md5=3f270306b725487cd70ef0b6b7fea587
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Summary:This study aims to identify students' styles of career choices. The second aim is to investigate what factors influence career choice style. The third aim is to determine whether all students of education programs want to become teachers one day. This research model is a relational model that uses multinomial logistic regression. The research population was Universitas Negeri Semarang (UNNES) students of education programs from five faculties in 2018. The number of people in the population was 4,531, and the participants were 220 students. The data analysis consisted of the multinomial logistic regression method. The results showed that the model met the requirements for use. Factors affecting career decisions are gathering information, locus of control, decision-making speed, and aspiration of an ideal career. Career choice has five styles: rational, intuitive, spontaneous, dependent, and avoidant. Accordingly, the spontaneous style is most commonly used by students. The other result shows that the factor that most influences students in choosing a style is pursuing an ideal career. © 2023 The Author(s).
ISSN:21658714
DOI:10.12973/eu-jer.12.1.329