This work explores a novel approach for assessing causal directions in measurement models and structural equation models with higher-order constructs. This extension of CTA-PLS incorporates different methods for controlling errors in multiple hypothesis testing, adapting them to the soft modeling context and highlighting their relevance during exploratory model construction. The CTA-PLS corrections method is applied to a second-order construct for performance assessment in sports analytics.
On CTA-PLS corrections applied on sports performance
Angelelli, Mario;Ciavolino, Enrico;
2025-01-01
Abstract
This work explores a novel approach for assessing causal directions in measurement models and structural equation models with higher-order constructs. This extension of CTA-PLS incorporates different methods for controlling errors in multiple hypothesis testing, adapting them to the soft modeling context and highlighting their relevance during exploratory model construction. The CTA-PLS corrections method is applied to a second-order construct for performance assessment in sports analytics.File in questo prodotto:
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