4/7/2021 0 Comments Partial Least Squares Sem
Generalized structured component analysis allows researchers to evaluate the adequacy of a model as a whole, compare a model to alternative specifications, and conduct complex analyses in a straightforward manner.The authors present the theoretical underpinnings of generalized structured component analysis and demonstrate how it can be applied to various empirical examples.The book enables quantitative methodologists, applied researchers, and practitioners to grasp the basic concepts behind this new approach and apply it to their own research.
The book emphasizes conceptual discussions throughout while relegating more technical intricacies to the chapter appendices. Most chapters compare generalized structured component analysis to partial least squares path modeling to show how the two component-based approaches differ when addressing an identical issue. The authors also offer a free, online software program (GeSCA) and an Excel-based software program (XLSTAT) for implementing the basic features of generalized structured component analysis. Click on the Edit Site List, then click on the Add Button and type in the following text. This often occurs when more than one version of the Java plug-in is installed on your computer (including the latest one java7u51). In that case, it is necessary to uninstall all the old versions of java except the latest one (java7u51). Furthermore, the authors meta-analyze recent review studies to shed light on popular reasons for PLS-SEM usage. Recent methodological research has extended PLS-SEMs methodological toolbox to accommodate more complex model structures or handle data inadequacies such as heterogeneity. The article is the first to meta-analyze reasons for PLS-SEM usage across the marketing, management, and management information systems fields. The cross-disciplinary review of recent research on the PLS-SEM method also makes this article useful for researchers interested in advanced concepts.
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