1. BOOK REVIEw.
- Author
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Trinchera, Laura
- Subjects
STRUCTURAL equation modeling ,LATENT variables ,COMPUTATIONAL statistics ,SOCIAL science methodology ,CONFIRMATORY factor analysis - Abstract
I Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables i Guilford's Methodology in the Social Sciences Series has recently added a new title to the collection: Composite-Based Structural Equation Modeling: Analyzing Latent and Emergent Variables by Jörg Henseler (2021). Ever since Tenenhaus et al.'s milestone paper in [6], composite-based approaches to Structural equation Modeling (SEM) - including the Partial Least Squares (PLS) approach - have received increasing attention. Finally, in Chapter 12, readers will find a guide to the Importance-Performance Analysis (IPA) as an extra tool for reporting composite-based SEM results for both descriptive and predictive purposes. [Extracted from the article]
- Published
- 2023
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