What are the latest guidelines for hierarchical latent variables?

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msaradhi
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Joined: Mon Jun 18, 2018 12:16 am
Real name and title: Saradhi Motamarri (Mr)

What are the latest guidelines for hierarchical latent variables?

Post by msaradhi »

Hi,
I am reading Becker et al. (2012) paper, "Hierarchical Latent Variable Models in PLS-SEM: Guidelines for Using Reflective-Formative Type Models', and Lee and Cardogan's (2013) paper 'Problems with formative and higher-order reflective variables'.

Are there any new guidelines since these publications?
1. Are Reflective-Reflective Models acceptable?
2. If so, what are the reporting guidelines for such models?
Is AVE computed by SmartPLS-3 incorrect and need to manually calculate it based on path coefficients?
3. What is the recommended approach in SmartPLS-3?

Thank you in advance.
Regards, Saradhi.
Syed Rahman
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Re: What are the latest guidelines for hierarchical latent variables?

Post by Syed Rahman »

This latest article with both reflective-reflective and reflective-formative hierarchical measurement models can be helpful https://doi.org/10.1016/j.ijinfomgt.2020.102252. The SmartPLS results reporting style in this article is excellent. For example, it follows the guideline in the SmartPLS primer book for interpreting the results. Section 4 of this article discusses how to validate higher-order models or hierarchical component models (HCMs) or higher-order constructs. Section 4.1.3 and the appendix discuss how to report multigroup analysis using SmartPLS (PLS-MGA). The article also discusses global fit analysis using SmartPLS with data from two different countries. You can follow this article for reporting confirmatory tetrad analysis (CTA-PLS in SmartPLS) and mediation tests using SmartPLS.
Syed Rahman
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Real name and title: Dr Syed Mahmudur Rahman
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Re: What are the latest guidelines for hierarchical latent variables?

Post by Syed Rahman »

Please review this latest open-access article published in the Journal of Retailing where we have developed a measurement model (scale) for the hierarchical latent variable named OCX (omnichannel customer experience): https://doi.org/10.1016/j.jretai.2022.03.003. Table 1 in the article offers an extensive step by step guideline for scale development. Also, review the web appendix for details. This article has been included in the SmartPLS recommended reading list https://www.smartpls.com/documentation/ ... -readings/

Article reference: Rahman, S. M., Carlson, J., Gudergan, S., Wetzels, M., Grewal, D. (2022) Perceived Omnichannel Customer Experience (OCX): Concept, Measurement, and Impact. Journal of Retailing, https://doi.org/10.1016/j.jretai.2022.03.003
GamerZombie
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Re: What are the latest guidelines for hierarchical latent variables?

Post by GamerZombie »

Partial least squares structural equation modeling (PLS-SEM), or partial least squares path modeling (PLS) has enjoyed increasing popularity in recent years. In this context, the use of hierarchical latent variable models has allowed researchers to extend the application of PLS-SEM to more advanced and complex models. However, the attention has been mainly focused on hierarchical latent variable models with reflective relationships.




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