A bibliometric analysis of the structural equation modeling in mathematics education

Yi, Wei Lim and Gabda Darmesah and Tze, Nicholas Ping Pang and Chong, Mun Ho (2023) A bibliometric analysis of the structural equation modeling in mathematics education. EURASIA Journal of Mathematics, Science and Technology Education, 19. pp. 1-9. ISSN 1305-8223

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Abstract

Structural equation modeling (SEM) is well-known in statistics due to its flexibility and accessibility. In the Scopus database alone, there were more than 1,500 search results related to SEM in mathematics education. However, there is a lack of scientific reviews of mathematics education that use SEM. The purpose of this study was to investigate research trends related to SEM in mathematics education. The researcher used Biblioshiny and VOS viewer to conduct bibliometric analysis on 1,017 papers that have been published in the Scopus database. The result showed that the number of publications in the research area has continuously grown over the last few decades. The US was the most prolific country in terms of publication and international collaboration. Professor Herbert W. Marsh had the most publications and citations, while the most productive journal was Frontiers in Psychology. The most current keywords include STEM, technology acceptance model, control-value theory, and computational thinking. Hence, these findings may serve as a guide for future researchers to conduct relevant research using SEM.

Item Type:	Article
Keyword:	Structural equation modeling, Mathematics education, Bibliometric analysis, VOSviewer, Biblioshiny
Subjects:	L Education > LB Theory and practice of education > LB5-3640 Theory and practice of education Q Science > QA Mathematics > QA1-939 Mathematics > QA273-280 Probabilities. Mathematical statistics
Department:	FACULTY > Faculty of Science and Natural Resources
Depositing User:	SITI AZIZAH BINTI IDRIS -
Date Deposited:	19 Feb 2024 09:46
Last Modified:	19 Feb 2024 09:46
URI:	https://eprints.ums.edu.my/id/eprint/38285

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