Is it possible to use it using lavaan? If you have a user account, you will need to reset your password the next time you login. å¼å¥ç妥å½æ§ã®ææ¨ã§ããHTMT(heterotrait-monotrait ratio of correlations)ã«ã¤ãã¦ãHTMTã®æå±ãããè«æã¯ãã¡ãã link.springer.com Jörg Henseler, Christian M. Ringle & Marko Sarstedt, 2015, A new criterion for assessing discriminant validity in variance-based structural equation modeling, Journal of the Academy of Marketing Sci⦠4, pp. Fornell and Larcker criterion is the most widely used method for this purpose. Discriminant validity. If the HTMT value is below 0.90, discriminant validity has been established between two reflective constructs. The discriminant validity assessment has the goal to ensure that a reflective construct has the strongest relationships with its own indicators (e.g., in comparison with than any other construct) in the PLS path model (Hair et al., 2017). Finally, we provide guidelines on how to handle discriminant validity issues in variance-based structural equation modeling. The HTMT is a measure of similarity between latent variables. Therefore, this article presents the results of discriminant validity assessment using these methods. We therefore propose an alternative approach, based on the multitrait-multimethod matrix, to assess discriminant validity: the heterotrait-monotrait ratio of correlations. From the analysis, the convergent, divergent and discriminant validity were established and admissible using Fornell and Larcker criterion. keywords = "IR-91561, METIS-304728, Structural equation modeling (SEM) , Partial least squares (PLS), Results evaluation, Measurement model assessment, Discriminant validity, Fornell-Larcker criterion, Cross-loadings, Multitrait-multimethod (MTMM) matrix, Heterotrait-monotrait (HTMT) ratio of correlations". Any further distribution of this work must maintain attribution to the author(s) and the title of the work, journal citation and DOI. Finally, we provide guidelines on how to handle discriminant validity issues in variance-based structural equation modeling. A novel approach for assessing discriminant validity was introduced by Henseler, Ringle and Sarstedt (2015): the heterotrait-monotrait ratio of correlations (HTMT). This shows that the latent variables under study faced the issue of multicollinearity and should be looked into for further details. Ser. T1 - A new criterion for assessing discriminant validity in variance-based structural equation modeling. The heterotrait-monotrait ratio of correlations (HTMT) 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. We demonstrate its superior performance by means of a Monte Carlo simulation study, in which we compare the new approach to the Fornell-Larcker criterion and the assessment of (partial) cross-loadings. Specifically, it assesses the geometric-mean correlationamong indicators across constructs (i.e. By means of a simulation study, we show that these approaches do not reliably detect the lack of discriminant validity in common research situations. You will only need to do this once. / Henseler, Jörg; Ringle, Christian M.; Sarstedt, Marko. We therefore propose an alternative approach, based on the multitrait-multimethod matrix, to assess discriminant validity: the heterotrait-monotrait ratio of correlations. Discriminant validity is referring to the extent in which the construct is actually differing from one another empirically. By means of a simulation study, we show that these approaches do not reliably detect the lack of discriminant validity in common research situations. 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