The latent variable path analysis program LVPLS was based on Herman Wold’s nonlinear iterative partial least squares (NIPALS) approach to theory construction and data analysis. Current developments derived from NIPALS have formed partial least squares structural equation modeling (PLS-SEM). Both serve as appropriate techniques for data analysis under varying conditions. The study described in this chapter uses PLS-SEM to explore the predictive relationships among personality, intellectual ability, and self-concept in a sample of gifted youth. In the model, intellectual ability and introversion accounted for 24% of the variance in self-concept. Calculations and presentation of results are courtesy of ChristianM. Ringle and the SmartPLS 3 computer program (http://www.smartpls.com).
CITATION STYLE
Frank Falk, R. (2017). Personality, intellectual ability, and the self-concept of gifted children: An application of PLS-SEM. In Partial Least Squares Path Modeling: Basic Concepts, Methodological Issues and Applications (pp. 299–310). Springer International Publishing. https://doi.org/10.1007/978-3-319-64069-3_14
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