An Introduction to Generalized Structured Component Analysis

[Speaker] Hwang, Heungsun:1
1:McGill University (Canada)

Generalized structured component analysis (GSCA) was developed as a component-based approach to structural equation modeling, where constructs are approximated by weighted sums of observed variables. It has advantages over another long-standing component-based approach - partial least squares (PLS). For instance, GSCA minimizes a single optimization criterion to estimate all parameters simultaneously. This enables the approach to provide overall fit measures that are derived from the criterion. Conversely, PLS does not involve a single optimization procedure and cannot provide overall fit measures. Moreover, owing to the adoption of a single optimization criterion, GSCA can conduct complex analyses, such as constrained multi-group analysis and testing latent interaction effects, in a more coherent manner. In addition, GSCA has been extended in various ways to enhance its data-analytic capability. For these reasons, GSCA has emerged as an appealing approach to component-based structural equation modeling. I will provide an introductory account of this methodology.
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