HTMT for discriminant validity assessment
Posted: Sat Oct 24, 2020 1:58 pm
Video link: https://youtu.be/Uwo2cBtT_xo
Description: The heterotrait-monotrait ratio of correlations (HTMT; Henseler et al., 2015) is a new method for assessing discriminant validity in partial least squares structural equation modeling, which is one of the key building blocks of model evaluation. If discriminant validity is not established, researchers cannot be certain that the results confirming hypothesized structural paths are real, or whether they are merely the result of statistical discrepancies. The HTMT criterion clearly outperforms classic approaches to discriminant validity assessment such as Fornell-Larcker criterion and (partial) cross-loadings, which are largely unable to detect a lack of discriminant validity.
Literature:
Henseler, J., Ringle, C. M., and Sarstedt, M. (2015). A New Criterion for Assessing Discriminant Validity in Variance-based Structural Equation Modeling. Journal of the Academy of Marketing Science, 43(1): 115-135.
Description: The heterotrait-monotrait ratio of correlations (HTMT; Henseler et al., 2015) is a new method for assessing discriminant validity in partial least squares structural equation modeling, which is one of the key building blocks of model evaluation. If discriminant validity is not established, researchers cannot be certain that the results confirming hypothesized structural paths are real, or whether they are merely the result of statistical discrepancies. The HTMT criterion clearly outperforms classic approaches to discriminant validity assessment such as Fornell-Larcker criterion and (partial) cross-loadings, which are largely unable to detect a lack of discriminant validity.
Literature:
Henseler, J., Ringle, C. M., and Sarstedt, M. (2015). A New Criterion for Assessing Discriminant Validity in Variance-based Structural Equation Modeling. Journal of the Academy of Marketing Science, 43(1): 115-135.