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An Empirical Study on Career Choices Among Undergraduates: A PLS-SEM Hierarchical Component Model (HCM) Approach
Author(s) -
Siew Chin Wong,
John Lim,
Chui Seong Lim,
Kay Tze Hong
Publication year - 2019
Publication title -
international journal of human resource studies
Language(s) - English
Resource type - Journals
ISSN - 2162-3058
DOI - 10.5296/ijhrs.v9i2.14841
Subject(s) - psychology , personality , construct (python library) , formative assessment , psychological intervention , big five personality traits , applied psychology , social psychology , structural equation modeling , career development , component (thermodynamics) , multilevel model , developmental psychology , mathematics education , statistics , psychiatry , computer science , thermodynamics , programming language , mathematics , physics
This study examines how undergraduates’ personality, parental and peer influences on their career choice. Partial Least Square, hierarchical component model (HCM) was used to measure the formative measurement model of personality construct and reflective measurement models of parent and peer influence constructs on career choices in the study. Data were collected from 218 of undergraduates from local private and public universities. Findings show that there are significant positive relationship between personality, parental and peer influences and career choices. Such insights are useful for HRD practitioners to develop relevant HRD interventions to assist individuals and organizations in career development. Limitations and suggestions for future research are also discussed.

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