Advanced Mediating Effects Tests, Multi-Group Analyses, and Measurement Model Assessments in PLS-Based SEM

被引:298
作者
Kock, Ned [1 ]
机构
[1] Texas A&M Int Univ, Div Int Business & Technol Studies, Laredo, TX 78041 USA
关键词
Mediating Effects; Multi-group Analyses; Multivariate Statistics; Partial Least Squares; Structural Equation Modeling; WarpPLS;
D O I
10.4018/ijec.2014010101
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Use of the partial least squares (PLS) method has been on the rise among e-collaboration researchers. It has also seen increasing use in a wide variety of fields of research. This includes most business-related disciplines, as well as the social and health sciences. The use of the PLS method has been primarily in the context of PLS-based structural equation modeling (SEM). This article discusses a variety of advanced PLS-based SEM uses of critical coefficients such as standard errors, effect sizes, loadings, cross-loadings and weights. Among these uses are advanced mediating effects tests, comprehensive multi-group analyses, and measurement model assessments.
引用
收藏
页码:1 / 13
页数:13
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