Enhanced multinomial logistic regression analysis of determinants influencing technical and vocational education and training (TVET) choices among Ghanaian youth: Implications for policy development

Abstract

In Ghana, youth unemployment remains significant challenges, with technical and vocational education and training (TVET) emerging as a potential solution to equip young people with practical skills for the job market. However, the uptake of TVET programmes among Ghanaian youth remains low, particularly among females. This study therefore explores the determinants that influence TVET choices among Ghanaian youth, with the goal of informing policy development to enhance participation in vocational education. Applying an enhanced multinomial logistic regression (MLR) model, this research examines the influence of socio-economic, demographic, and attitudinal factors on career decisions. The enhanced model accounts for class imbalances in the dataset and improves classification accuracy, making it a robust tool for understanding the drivers behind TVET choices. A sample of 1600 Ghanaian youth engaged in vocational careers was used, ensuring diverse representation of the population. Key findings reveal that males are approximately three times more likely to choose TVET programs than females, despite females making up 50.13% of Ghana’s population. Specific determinants influencing TVET choices include financial constraints, parental influence, peer influence, teacher influence, self-motivation, and vocational limitations. In regions with limited vocational options, youth often pursue careers based on availability rather than preference, which highlights a gap in vocational opportunities. Parental and teacher influences were found to play a dominant role in steering youth towards specific careers. The study concludes with recommendations for policymakers, instructors, and stakeholders to increase the accessibility, relevance, and quality of TVET programmes to meet the socio-economic needs of Ghanaian youth. © 2024 by author(s).

Author(s)

Mwinkume, Gabriel, Nandakumar, C.D., Aidoo, Emmanuel, Raj, A. Bernick

Year

2024

Countries

Language

English

Research Method

Quantitative

Article Type

Peer-Reviewed Articles

Keywords

Vocational education and training | Excel Import

Full Citation Style

Mwinkume, Gabriel, Nandakumar, C.D., Aidoo, Emmanuel, & Raj, A. Bernick (2024). Enhanced multinomial logistic regression analysis of determinants influencing technical and vocational education and training (TVET) choices among Ghanaian youth: Implications for policy development. Strategic Research Journal. https://doi.org/10.24294/jipd.v8i11.8642
Mwinkume, Gabriel, Nandakumar, C.D., Aidoo, Emmanuel and Raj, A. Bernick, 2024. Enhanced multinomial logistic regression analysis of determinants influencing technical and vocational education and training (TVET) choices among Ghanaian youth: Implications for policy development. Strategic Research Journal. Available at: <https://doi.org/10.24294/jipd.v8i11.8642>
Mwinkume, Gabriel, Nandakumar, C.D., Aidoo, Emmanuel, and Raj, A. Bernick. "Enhanced multinomial logistic regression analysis of determinants influencing technical and vocational education and training (TVET) choices among Ghanaian youth: Implications for policy development." Strategic Research Journal (2024). https://doi.org/10.24294/jipd.v8i11.8642
Gabriel M, C.D. N, Emmanuel A, Bernick RA. Enhanced multinomial logistic regression analysis of determinants influencing technical and vocational education and training (TVET) choices among Ghanaian youth: Implications for policy development. Strategic Research Journal. 2024; https://doi.org/10.24294/jipd.v8i11.8642

Research Team

Mwinkume, Gabriel

Mwinkume, Gabriel

Nandakumar, C.D.

Nandakumar, C.D.

Aidoo, Emmanuel

Aidoo, Emmanuel

Raj, A. Bernick

Raj, A. Bernick

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