The DOI matches its Crossref record; 96 of the 96 references it cites were found in a registry or an index.
A perspective on using partial least squares structural equation modelling in data articles
Open accessAbstract
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. 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. We also present adjusted versions of the HTMT metric for discriminant validity testing that broaden its applicability. Further, we highlight the benefit of linking data articles to already published research papers that employ the PLS-SEM method.
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Cites
A new criterion for assessing discriminant validity in variance-based structural equation modeling
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Self-citationPls-Sem: indeed a silver bullet
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Self-citationA primer on partial least squares structural equation modeling (PLS-SEM)
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Henseler, J., Ringle, C. M., & Sinkovics, R. R. (2009) · Advances in International Marketing · doi:10.1108/s1474-7979(2009)0000020014 · Cited by 10,926
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“This non-probability design supports feasibility in an otherwise hard-to-reach population, but it also constrains external validity and limits generalization beyond the study sample [125,126].”
Metadata
- Authors
- Ringle, C. M., Sarstedt, M., Sinkovics, N., & Sinkovics, R. R.
- Venue
- Data in Brief
- Publisher
- Elsevier BV
- Published
- 2023-06
- Volume
- 48
- Pages
- 109074
- ISSN
- 2352-3409 (ISSN-L)
- OpenAlex
- W4328137216
- Cited by
- 767
- References
- 96
- Type
- data paper
- Language
- en
- Open access
- gold
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- Ringle, C. M., Sarstedt, M., Sinkovics, N., & Sinkovics, R. R. (2023). A perspective on using partial least squares structural equation modelling in data articles. Data in Brief. https://doi.org/10.1016/j.dib.2023.109074
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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
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