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Top 22 common errors and 8 new guidelines for SEM 

2023 New guideline (Issue) 4：non-normal data

Researchers should use PLS-SEM to handle non-normal data

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(new guideline) Claiming that choosing PLS-SEM over CB-SEM based solely on nonnormal data is an invalid argument.

Reference

Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., & Thiele, K. O. (2017). Mirror, mirror on the wall: A comparative evaluation of composite-based structural equation modeling methods. Journal of the Academy of Marketing Science, 45(5), 616–632. https://doi.org/10.1007/ s11747-017-0517-x

Sarstedt, M., Hair Jr., J. F. & Ringle, C. M. (2023) “PLS-SEM: indeed a silver bullet” – retrospective observations and recent advances, Journal of Marketing Theory and Practice, 31:3, 261-275, DOI: 10.1080/10696679.2022.2056488

Wen-Lung Shiau, Ye Yuan, Xiaodie Pu, Soumya Ray, and Charlie C. Chen (2020), "Understanding fintech continuance: perspectives from self-efficacy and ECT-IS theories", Industrial Management & Data Systems, Vol. 120 No. 9, pp. 1659-1689 (SCI, Q2,2019 IF= 3.329，5-year Impact Factor : 4.379) ESI 1% highly cited article