A perspective on using partial least squares structural equation modelling in data articles
Universität Hamburg · Hamburg University of Technology · +5 more institutions
Abstract
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…
Citation impact
- FWCI
- 177.10
- Percentile
- 100%
- References
- 111
Authors
4- CMChristian M. Ringle
Universität Hamburg, Hamburg University of Technology
- MSMarko Sarstedt
Babeș-Bolyai University, Ludwig-Maximilians-Universität München
- NSNoemi SinkovicsCorresponding
Adam Smith Institute, University of Glasgow
- RRRudolf R. Sinkovics
Lappeenranta-Lahti University of Technology, University of Glasgow
Topics & keywords
- Structural equation modeling
- Perspective (graphical)
- Computer science
- Partial least squares regression
- Metric (unit)
- Publication
- Data mining
- Data science
- Reduced inequalities