A bibliometric analysis of the structural equation modeling in mathematics education
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 S...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English English |
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Modestum
2023
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| Online Access: | https://eprints.ums.edu.my/id/eprint/38285/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/38285/2/FULL%20TEXT.pdf |
| _version_ | 1825715508427620352 |
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| author | Yi, Wei Lim Gabda Darmesah Tze, Nicholas Ping Pang Chong, Mun Ho |
| author_facet | Yi, Wei Lim Gabda Darmesah Tze, Nicholas Ping Pang Chong, Mun Ho |
| author_sort | Yi, Wei Lim |
| collection | UMS |
| description | 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. |
| first_indexed | 2024-03-06T03:27:53Z |
| format | Article |
| id | ums.eprints-38285 |
| institution | Universiti Malaysia Sabah |
| language | English English |
| last_indexed | 2024-03-06T03:27:53Z |
| publishDate | 2023 |
| publisher | Modestum |
| record_format | dspace |
| spelling | ums.eprints-382852024-02-19T01:46:42Z https://eprints.ums.edu.my/id/eprint/38285/ A bibliometric analysis of the structural equation modeling in mathematics education Yi, Wei Lim Gabda Darmesah Tze, Nicholas Ping Pang Chong, Mun Ho LB5-3640 Theory and practice of education QA273-280 Probabilities. Mathematical statistics 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. Modestum 2023 Article NonPeerReviewed text en https://eprints.ums.edu.my/id/eprint/38285/1/ABSTRACT.pdf text en https://eprints.ums.edu.my/id/eprint/38285/2/FULL%20TEXT.pdf 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 https://doi.org/10.29333/ejmste/13838 |
| spellingShingle | LB5-3640 Theory and practice of education QA273-280 Probabilities. Mathematical statistics Yi, Wei Lim Gabda Darmesah Tze, Nicholas Ping Pang Chong, Mun Ho A bibliometric analysis of the structural equation modeling in mathematics education |
| title | A bibliometric analysis of the structural equation modeling in mathematics education |
| title_full | A bibliometric analysis of the structural equation modeling in mathematics education |
| title_fullStr | A bibliometric analysis of the structural equation modeling in mathematics education |
| title_full_unstemmed | A bibliometric analysis of the structural equation modeling in mathematics education |
| title_short | A bibliometric analysis of the structural equation modeling in mathematics education |
| title_sort | bibliometric analysis of the structural equation modeling in mathematics education |
| topic | LB5-3640 Theory and practice of education QA273-280 Probabilities. Mathematical statistics |
| url | https://eprints.ums.edu.my/id/eprint/38285/1/ABSTRACT.pdf https://eprints.ums.edu.my/id/eprint/38285/2/FULL%20TEXT.pdf |
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