semPLS: Structural Equation Modeling Using Partial Least Squares
نویسندگان
چکیده
منابع مشابه
Nonlinear Structural Equation Modeling: Is Partial Least Squares an Alternative?
Nonlinear structural equation modeling provides many advantages over analyses based on manifest variables only. Several approaches for the analysis of latent interaction effects have been developed within the last 15 years, including the partial least squares product indicator approach (PLS-PI), the constrained product indicator approach using the LISREL software (LISREL-PI), and the distributi...
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Partial Least Squares (PLS) based Structural Equation Modeling (SEM) has become increasingly popular in Management Information Systems (MIS) research to model complex relationships and to make valid inferences from the restricted sample to the larger population. Given the larger goal of creating generalizable theories in MIS research, we argue that the lack of model selection criteria in PLS th...
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Empirical studies that use structural equation modeling (SEM) are widespread in information systems research. During the last few years, the component-based approach partial least squares (PLS) for testing structural models has become increasingly popular. At the same time, this approach’s limitations have become a greater concern. Some researchers even suggest using alternative approaches that...
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ژورنال
عنوان ژورنال: Journal of Statistical Software
سال: 2012
ISSN: 1548-7660
DOI: 10.18637/jss.v048.i03