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  • 标题:PLS-SEM STATISTICAL PROGRAMS: A REVIEW
  • 本地全文:下载
  • 作者:Mumtaz Ali Memon ; T. Ramayah ; Jun-Hwa Cheah
  • 期刊名称:Journal of Applied Structural Equation Modeling
  • 电子版ISSN:2590-4221
  • 出版年度:2021
  • 卷号:5
  • 期号:1
  • 页码:1-14
  • DOI:10.47263/JASEM.5(1)06
  • 出版社:Sarawak Research Society (SRS)
  • 摘要:Partial least squares structural equation modeling (PLS-SEM) is one of the most widely used methods of multivariate data analysis. Although previous research has discussed different aspects of PLS-SEM, little is done to explain the attributes of the different PLS-SEM statistical applications. The objective of this editorial is to discuss a variety of PLS-SEM applications, including SmartPLS, WarpPLS, and ADANCO. It is written based on information received from the developers via emails as well as our ongoing understanding and experience of using these applications. We hope this editorial can serve as a manual for users to understand the unique characteristics of each PLS-SEM application and make an informed decision on the most appropriate application in their research.
  • 关键词:SmartPLS; ADANCO; WarpPLS; PLS-SEM; PLS Path Modeling
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