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LGCM and PLS-SEM in Panel Survey Data: A Systematic Review and Bibliometric Analysis

Author

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  • Zulkifli Mohd Ghazali

    (Mathematical Sciences Studies, College of Computing, Informatics and Media, Universiti Teknologi MARA, Cawangan Perak, Kampus Tapah, Tapah Road 35400, Perak, Malaysia)

  • Wan Fairos Wan Yaacob

    (Mathematical Sciences Studies, College of Computing, Informatics and Media, Universiti Teknologi MARA Cawangan Kelantan, Kampus Kota Bharu, Kota Bharu 15050, Kelantan, Malaysia
    Institute for Big Data Analytics and Artificial Intelligence (IBDAAI), Kompleks Al-Khawarizmi, Universiti Teknologi MARA, Shah Alam 40450, Selangor, Malaysia)

  • Wan Marhaini Wan Omar

    (Faculty of Business and Management, Universiti Teknologi MARA Cawangan Kelantan, Kampus Kota Bharu, Kota Bharu 15050, Kelantan, Malaysia)

Abstract

The application of Latent Growth Curve Model (LGCM) and Partial Least Square Structural Equation Modeling (PLS-SEM) has gained much attention in panel survey studies. This study explores the distributions and trends of LGCM, and PLS-SEM used in panel survey data. It highlights the gaps in the current and existing approaches of PLS-SEM practiced by researchers in analyzing panel survey data. The integrated bibliometric analysis and systematic review were employed in this study. Based on the reviewed articles, the LGCM and PLS-SEM showed an increasing trend of publication in the panel survey data. Though the popularity of LGCM was more outstanding than PLS-SEM for the panel survey data, LGCM has several limitations such as statistical assumptions, reliable sample size, number of repeated measures, and missing data. This systematic review identified five different approaches of PLS-SEM in analyzing the panel survey data namely pre- and post-approach with different constructs, a path comparison approach, a cross-lagged approach, pre- and post-approach with the same constructs, and an evaluation approach practiced by researchers. None of the previous approaches used can establish one structural model to represent the whole changes in the repeated measure. Thus, the findings of this paper could help researchers choose a more appropriate approach to analyzing panel survey data.

Suggested Citation

  • Zulkifli Mohd Ghazali & Wan Fairos Wan Yaacob & Wan Marhaini Wan Omar, 2023. "LGCM and PLS-SEM in Panel Survey Data: A Systematic Review and Bibliometric Analysis," Data, MDPI, vol. 8(2), pages 1-24, January.
    • Handle: RePEc:gam:jdataj:v:8:y:2023:i:2:p:32-:d:1051233
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    1. Donthu, Naveen & Kumar, Satish & Mukherjee, Debmalya & Pandey, Nitesh & Lim, Weng Marc, 2021. "How to conduct a bibliometric analysis: An overview and guidelines," Journal of Business Research, Elsevier, vol. 133(C), pages 285-296.
    2. Roemer, Ellen & Henseler, Jörg, 2022. "The dynamics of electric vehicle acceptance in corporate fleets: Evidence from Germany," Technology in Society, Elsevier, vol. 68(C).
    3. Christian Nitzl & Wynne W. Chin, 2017. "The case of partial least squares (PLS) path modeling in managerial accounting research," Journal of Management Control: Zeitschrift für Planung und Unternehmenssteuerung, Springer, vol. 28(2), pages 137-156, May.
    4. Weishu Liu, 2019. "The data source of this study is Web of Science Core Collection? Not enough," Scientometrics, Springer;Akadémiai Kiadó, vol. 121(3), pages 1815-1824, December.
    5. Raminta Pranckutė, 2021. "Web of Science (WoS) and Scopus: The Titans of Bibliographic Information in Today’s Academic World," Publications, MDPI, vol. 9(1), pages 1-59, March.
    6. Xu, Xinhan & Chen, Xiangfeng & Jia, Fu & Brown, Steve & Gong, Yu & Xu, Yifan, 2018. "Supply chain finance: A systematic literature review and bibliometric analysis," International Journal of Production Economics, Elsevier, vol. 204(C), pages 160-173.
    7. Satish Kumar & Riya Sureka & Sisira Colombage, 2020. "Capital structure of SMEs: a systematic literature review and bibliometric analysis," Management Review Quarterly, Springer, vol. 70(4), pages 535-565, November.
    8. Junwen Zhu & Weishu Liu, 2020. "A tale of two databases: the use of Web of Science and Scopus in academic papers," Scientometrics, Springer;Akadémiai Kiadó, vol. 123(1), pages 321-335, April.
    9. Anne-Wil Harzing & Satu Alakangas, 2016. "Google Scholar, Scopus and the Web of Science: a longitudinal and cross-disciplinary comparison," Scientometrics, Springer;Akadémiai Kiadó, vol. 106(2), pages 787-804, February.
    10. Muñoz, Elizabeth & Robins, Richard W. & Sutin, Angelina R., 2022. "Perceived ethnic discrimination and cognitive function: A 12-year longitudinal study of Mexican-origin adults," Social Science & Medicine, Elsevier, vol. 311(C).
    11. Cobo, M.J. & López-Herrera, A.G. & Herrera-Viedma, E. & Herrera, F., 2011. "An approach for detecting, quantifying, and visualizing the evolution of a research field: A practical application to the Fuzzy Sets Theory field," Journal of Informetrics, Elsevier, vol. 5(1), pages 146-166.
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    3. Haidar Abbas & Islam Elbayoumi Salem & Hafiz Wasim Akram & Sajid Abbas, 2025. "Exploring Partial Least Squares Structural Equation Modeling (PLS-SEM) Applications in Supply Chain Research: A Bibliometric Analysis and Science Mapping Approach," SN Operations Research Forum, Springer, vol. 6(4), pages 1-29, December.

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