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Assessing the Validity of Formative Latent Variables in PLS-SEM

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 Assessing the Validity of First-Order and Higher-Order Formative Latent Variables in PLS-SEM


The article below explains how to conduct a validity assessment of formative latent variables in the context of structural equation modeling via partial least squares (PLS-SEM) using WarpPLS software.

Amora, J. T. (2023). On the validity assessment of formative measurement models in PLS-SEM. Data Analysis Perspectives Journal, 4(2), 1-7.


Abstract:

Structural equation modeling via partial least squares (PLS-SEM) is the preferred approach when a research model includes formative measurement models. In this paper, the validity assessment of first-order and higher-order measurement models is illustrated using real data employing the WarpPLS, a prominent software tool for PLS-SEM.

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