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Open AccessJournal ArticleDOI

Discriminant Validity Assessment: Use of Fornell & Larcker criterion versus HTMT Criterion

TLDR
In this paper, a new method has emerged for establishing the discriminant validity assessment through heterotrait-monotrait (HTMT) ratio of correlations method, which can detect the possible indiscriminant among the latent variables.
Abstract
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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Citations
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The roles of initial trust and perceived risk in public’s acceptance of automated vehicles

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Automated vehicle acceptance in China: social influence and initial trust are key determinants

TL;DR: In this paper, an AV acceptance model was proposed by extending the TAM with social and personal factors, i.e., initial trust, social influence, and the Big Five personality and sensation seeking traits.
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Effectiveness of artificial intelligence techniques against cyber security risks apply of IT industry

TL;DR: The aim of the researcher was to determine the effectiveness of artificial intelligence techniques against cyber security risks particularly in case of Iraq and the quantitative method of research design along with primary data was opted.
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Social support, belongingness, and value co-creation behaviors in online health communities

TL;DR: A model of how belongingness and social support affect the four value co-creation behaviors in OHCs based on need-to-belong theory and socialSupport literature is developed and shows that informational, emotional, esteem, and companionship supports positively influence members’ belongingness to OHCS, which in turn affects information sharing, responsible, feedback, and advocacy behaviors.
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Green data analytics, blockchain technology for sustainable development, and sustainable supply chain practices: evidence from small and medium enterprises

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References
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Journal ArticleDOI

Evaluating Structural Equation Models with Unobservable Variables and Measurement Error

TL;DR: In this paper, the statistical tests used in the analysis of structural equation models with unobservable variables and measurement error are examined, and a drawback of the commonly applied chi square test, in additit...
Book

Principles and Practice of Structural Equation Modeling

TL;DR: The book aims to provide the skills necessary to begin to use SEM in research and to interpret and critique the use of method by others.
Journal ArticleDOI

On the evaluation of structural equation models

TL;DR: In this article, structural equation models with latent variables are defined, critiqued, and illustrated, and an overall program for model evaluation is proposed based upon an interpretation of converging and diverging evidence.
Book

A primer on partial least squares structural equation modeling (PLS-SEM)

TL;DR: The Second Edition of this practical guide to partial least squares structural equation modeling is designed to be easily understood by those with limited statistical and mathematical training who want to pursue research opportunities in new ways.
Journal ArticleDOI

A new criterion for assessing discriminant validity in variance-based structural equation modeling

TL;DR: In this paper, the heterotrait-monotrait ratio of correlations is used to assess discriminant validity in variance-based structural equation modeling. But it does not reliably detect the lack of validity in common research situations.
Related Papers (5)
Trending Questions (3)
What is Composite reliability, Average Variance Extracted, Cronbach Alph, Fornell-Larcker Criterion, HTMT Ratio, Discriminant Validity, and Loading?

Composite reliability, Average Variance Extracted, Cronbach Alpha, Fornell-Larcker Criterion, HTMT Ratio, Discriminant Validity, and Loading are key measures in assessing construct validity and reliability in latent variable analysis.

What is Validity Test: Heterotrait-Monotrait (HTMT) Criterion?

The paper does not provide a specific definition or explanation of the Heterotrait-Monotrait (HTMT) Criterion.

What are the main criticisms of HTMT discriminant validity?

The main criticism of HTMT discriminant validity is that it is a stringent measure that may detect possible indiscriminant relationships among latent variables.