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Discriminant Validity Assessment: Use of Fornell & Larcker criterion versus HTMT Criterion
Open accessAbstract
Assessment of discriminant validity is a must in any research that involves latent variables for the prevention of multicollinearity issues. 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. Therefore, this article presents the results of discriminant validity assessment using these methods. Data from previous study was used that involved 429 respondents for empirical validation of value-based excellence model in higher education institutions (HEI) in Malaysia. From the analysis, the convergent, divergent and discriminant validity were established and admissible using Fornell and Larcker criterion. However, the discriminant validity is an issue when employing the HTMT criterion. This shows that the latent variables under study faced the issue of multicollinearity and should be looked into for further details. This also implied that the HTMT criterion is a stringent measure that could detect the possible indiscriminant among the latent variables. In conclusion, the instrument which consisted of six latent variables was still lacking in terms of discriminant validity and should be explored further.
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“Nevertheless, according to Hamid et al. [59], 'Fornell and Larcker criterion and the assessment of the cross-loadings are inadequately sensitive in detecting discriminant validity when compared with Heterotrait-Monotrait (HTMT) criterion.”
From Are You Environmentally Conscious Enough to Differentiate between Greenwashed and Sustainable Items? A Global Consumers Perspective (2020) · cites this paper as [59]
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“0 indicates the satisfaction of discriminant validity [31,32].”
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“The discriminant validity of the constructs was also achieved by conducting another analysis threshold that has been established to validity were recommended threshold of 0.9 [48].”
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“This indicates that the instrument has discriminant validity [28], [29].”
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“…0.90, its sRMR and RMsea are less than 0.08 and χ 2 / df falls below 3 (hoe 2008). convergent validity assesses the agreement among multiple items of the same construct, while a discriminant validity assesses how constructs differ empirically, were evaluated (ab hamid, sami, and sidek 2017).”
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“Moreover, AVE should be above 0.5 and lower than the values of CR (Ab Hamid et al., 2017), which is evident in Table 4.”
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“Discriminant validity is crucial to demonstrate the uniqueness of the model constructs (Ab Hamid et al., 2017).”
Metadata
- Authors
- Ab Hamid, M. R., Sami, W., & Mohmad Sidek, M. H.
- Affiliations
- Universiti Malaysia Pahang Al-Sultan Abdullah (MY)
- ORCID
- Sami, W
- Venue
- Journal of Physics: Conference Series
- Publisher
- IOP Publishing
- Published
- 2017-09
- Volume
- 890
- Pages
- 012163
- ISSN
- 1742-6588 (ISSN-L)
- 1742-6596
- OpenAlex
- W2757330327
- Cited by
- 1,478
- References
- 17
- Citations by year
- 2026: 230 · 2025: 282 · 2024: 307 · 2023: 243 · 2022: 190 · 2021: 135 · 2020: 61 · 2019: 22 · 2018: 5 · 2017: 1
- FWCI
- 35.75
- Type
- conference paper
- Language
- en
- Open access
- diamond
- doi.org
- Licence
- Locations
- Journal of Physics Conference Series (publishedVersion, cc-by)
- Topics
- Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
- Social Sciences › Business, Management and Accounting › Strategy and Management › Business Strategies and Management Research
- Physical Sciences › Mathematics › Statistics and Probability › Statistical Methods and Applications
- Keywords
- discriminant validity, HTMT, multicollinearity, latent variables, higher education institutions, convergent validity
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