A bibliometric analysis of the structural equation modeling in mathematics education
Yi Wei Lim 1 , Gabda Darmesah 1 * , Nicholas Tze Ping Pang 2 , Chong Mun Ho 1
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1 Faculty of Science and Natural Resources, University Malaysia Sabah, Kota Kinabalu, MALAYSIA2 Hospital Universiti Malaysia Sabah, University Malaysia Sabah, Kota Kinabalu, MALAYSIA* Corresponding Author

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 VOSviewer 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.

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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

Article Type: Review Article

EURASIA J Math Sci Tech Ed, 2023, Volume 19, Issue 12, Article No: em2365

https://doi.org/10.29333/ejmste/13838

Publication date: 01 Dec 2023

Online publication date: 27 Oct 2023

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Article Downloads: 591

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