This book provides a detailed account of the authors' novel statistical methodology for structural equation modeling. It presents the theoretical underpinnings of generalized structured component analysis and demonstrates how it can be applied to various empirical examples. Most chapters compare this novel approach to partial least squares path modeling to show how the two component-based approaches differ when addressing an identical issue. The authors also offer software for implementing the basic features of generalized structured component analysis.
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