Comparing bayesian and maximum likelihood methods in structural equation modelling of university student satisfaction: an empirical analysis

Education Research International - 2022 - Asosega - Comparing Bayesian and Maximum Likelihood Methods in Structural.pdf

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Title

Comparing bayesian and maximum likelihood methods in structural equation modelling of university student satisfaction: an empirical analysis

Creator

Killian Asampana Asosega, Wahab Abdul Iddrisu, Kassim Tawiah, Alex Akwasi Opoku, Eric Okyere

Description

Students’ satisfaction in the university environment is essential to both the student (customer) and management of the university. Satisfied students are determined to succeed in their academics, and this sustains their loyalty and trust, which results in an improved image and esteem of the university. This study examined the level of students’ satisfaction with campus facilities and infrastructure, campus social life, student support services, and the quality of academics in the University of Energy and Natural Resources (UENR) in Ghana and further investigated how students’ satisfaction with the above four areas of the university environment affect each other. A questionnaire was administered to continuous students in UENR, and the collected data were analysed using structural equation modelling within the maximum likelihood and Bayesian frameworks whose results and performance were compared. Results …

Publisher

Hindawi

Date

2022

Source

https://scholar.google.com/citations?view_op=view_citation&hl=en&user=ECTxVnYAAAAJ&citation_for_view=ECTxVnYAAAAJ:Y0pCki6q_DkC

Language

English