Original Research Article
Structural equation modeling: A path analysis on the tracer study factors influencing graduates’ ability to work and competencies
Oscar Menrad Msamba*1 and Exavery Philemon Enock1
1Department of Applied Sciences and Social Studies, Technical College, P.O. Box 296, Arusha, Tanzania.
*Corresponding Author Email: oscar.msamba(at)atc.ac.tz
Oscar Menrad Msamba |
Exavery Philemon Enock |
Article Number: IJEPRR.24.001 | Pages: 1-13 | Vol.11(1), July 2024 | DOI: https://doi.org/10.15739/IJEPRR.24.001
Received: May 6, 2024 Accepted: July 26, 2024 Published: July 9, 2024
Abstract
This study investigates how effectively Arusha Technical College’s curriculum equips graduates for labor market demands. It evaluates graduates’ ability to perform daily tasks and their job market competencies across various skills, including Information and Communication Technology (ICT), technical skills, soft skills, behavioral skills, and work ethics. Using Smart PLS software, Structural Equation Modeling (SEM) was applied to data from 568 graduates in a quantitative approach. Findings shows the significant role of ICT and technical skills in enhancing workplace performance and employability, while soft and behavioral skills showed relatively weaker associations. Although the important role of these skills, direct impact on job performance and alignment with employer expectations appear more complex. This study contributes to the discourse on higher education and industry needs, suggesting a re-evaluation of curriculum components to provide a well-rounded skill set among graduates. Recommendations provided in this study includes: enhancing the curriculum, strengthening industry-academia collaboration, and continuing graduate tracer studies to refine educational practices. This research addresses a gap in understanding the relationship between educational preparation and labor market integration in a technical context, offering a framework for future studies on changing labor market requirements.
Keywords: Graduate employability, technical education, skills gap analysis, curriculum development, structural equation modeling (SEM)
How to Cite this Article
Msamba OM Enock EP(2024). Structural equation modeling: A path analysis on the tracer study factors influencing graduates’ ability to work and competencies. Int. J. Educ. Pol. Res. Rev. 11(1):1-13.https://doi.org/10.15739/IJEPRR.24.001
© 2024 The authors.
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