A perspective on using partial least squares structural equation modelling in data articles

🤖 Plain-English Summary

This perspective article on using partial least squares structural equation modelling (PLS-SEM) is intended as a guide for authors who wish to publish datasets that can be analysed with this method as stand-alone data articles. We also present adjusted versions of the HTMT metric for discriminant validity testing that broaden its applicability.

🔑 Key Findings

• Stand-alone data articles are different from supporting data articles in that they are not linked to a full research article published in another journal.
• Nevertheless, authors of stand-alone data articles will be required to clearly demonstrate and justify the usefulness of their dataset.
• This perspective article offers actionable recommendations regarding the conceptualisation phase, the types of data suitable for PLS-SEM and quality criteria to report, which are generally applicable to studies using PLS-SEM.

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