As a criterion HTMT values are compared with a predefined threshold: If the value of the HTMT is higher than this threshold, there is a lack of discriminant validity. For concepts modeled as composites the HTMT may be computed by setting .only_common_factors = FALSE, however, it is unclear how to interpret values in this case. A notable exception is Reichardt and Coleman (1995), who criticized the MTMM-based criteria for being dichotomous and declared that a natural (dichotomous) definition of discriminant validity outside the MTMM context would be that two measures x1 and x2 have discriminant validity if and only if x1 measures construct T1 but not T2, x2 measures T2 but not T1, and the two constructs … The following results are provided: 1. the Fornell-Larcker criterion, 2. cross-loadings, and 3. the HTMT criterion results.We recommend using the HTMT criterion to assess discriminant validity.If the HTMT value is below 0.90, discriminant validity has been established between two reflective constructs. Fee waiver option available while submission of paper. Fornell and Larcker criterion is the most widely used method for this purpose. However, a new method has emerged for establishing the discriminant validity assessment through heterotrait-monotrait (HTMT) ratio of correlations method. Mark. Both these essentially asses whether the factors are perfectly correlated, but that is not what the original idea of discriminant validity of measures is about. HTMT.xlsx. Published on September 6, 2019 by Fiona Middleton. 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Discriminant validity Fornell-Larcker criterion Cross Loadings HTMT Criteria (<1). The abstract meaning of HTMT refers to “ the ratio of the between- trait correlations to the within-trait correlations ” … HTMT<1. In this study, the HeteroTrait-MonoTrait (HTMT) ratio (Henseler, Ringle, & Sarstedt, 2015) was applied as the new criterion to assess discriminant validity in variance-based structural equation modelling. To assess convergent validity, the instrument was correlated with two comparators. close to 1 indicates a lack of discriminant validity. Assessment of discriminant validity is a must in any research that involves latent variables for the prevention of multicollinearity issues. According to this criterion, the square root of the average variance extracted by a construct must be greater than the correlation between the construct and any other construct. For variance-based structural equation modeling, such as partial least squares, the Fornell-Larcker criterion and the examination of cross-loadings are the dominant approaches for evaluating discriminant validity. The internal consistency of the scales was evaluated using Cronbach's alpha coefficient (α) and composite reliability. For variance-based structural equation modeling, such as partial least squares, the Fornell-Larcker criterion and the examination of cross-loadings are the dominant approaches for evaluating discriminant validity. There are two ways of using the HTMT to assess discriminant validity: (1) as a criterion or (2) as a statistical test. Using the HTMT as a criterion involves comparing it to a predefined threshold. A New Criterion for Assessing Discriminant Validity in Variance-based Structural Equation Modeling. "In the next step, you can assess the discriminant validity between the LOCs COMP and LIKE using the HTMT criterion (Henseler et al., 2015). criterion . 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. However, a new method has emerged for establishing the discriminant validity assessment through heterotrait-monotrait (HTMT) ratio of correlations method. A New Criterion for Assessing Discriminant Validity in Variance-based Structural Equation Modeling January 2015 Journal of the Academy of Marketing Science 43(1):115-135 There are two ways of using the lation: The HTMT does not require a factor analysis to obtain HTMT to assess discriminant validity: (1) as a criterion or (2) factor loadings, nor does it require the calculation of construct as a statistical test. Discriminant validity (or divergent validity) tests that constructs that should have no relationship do, in fact, not have any relationship. The four types of validity. Rather, researchers employ at least one of the following methods to confirm the distinct nature of their variables. First, using the HTMT as a criterion scores. For variance-based structural equation modeling, such as partial least squares, the Fornell-Larcker criterion and the examination of cross-loadings are the dominant approaches for evaluating discriminant validity. Henseler J, Ringle CM, Sarstedt M (2015). Fee waiver option available while submission of paper. monotrait-heteromethod correlations).The resulting HTMT values are interpreted as estimates of inter-constructcorrelations. It does basically the same thing as the AVE criterion. Specifically, it assesses the geometric-mean correlation among indicators across constructs (i.e. In the figure below, we again see four measures (each is an item on a scale). Discriminant validity assessment has become a generally accepted prerequisite for analyzing relationships between latent variables. 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