Applying Multigroup Analysis in PLS-SEM: A Step-by-Step Process
By L. Matthews. 2017
303 citations recorded by the source corpus.
Subfields: Information Systems and Management, Management Science and Operations Research, Marketing
View Paper: https://www.semanticscholar.org/paper/d8bf6a4e2b155493a99fa8bca4121c55c2c2cd37
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Information Systems and Management
- Marko Sarstedt
- Christian M. Ringle
- Joseph F. Hair
- S. M. Rasoolimanesh
- Faizan Ali
- Siegfried P. Gudergan
- Kisang Ryu
- Jeffrey J. Risher
In Management Science and Operations Research
- Christian M. Ringle
- Marko Sarstedt
- Joseph F. Hair
- S. M. Rasoolimanesh
- Hengky Latan
- Charbel José Chiappetta Jabbour
- Faizan Ali
- Ana Beatriz Lopes de Sousa Jabbour
In Marketing
- Marko Sarstedt
- Christian M. Ringle
- Joseph F. Hair
- Siegfried P. Gudergan
- Jörg Henseler
- S. M. Rasoolimanesh
- Jeffrey J. Risher
- Hengky Latan
Citations in the corpus
- Ethical Awareness, Ethical Judgment and Whistleblowing: A Moderated Mediation Analysis (2017, methodology): “group-specific parameter estimates (Matthews 2018; Sarstedt et al. 2011) and in this case which group is more prone or unlikely to blow the whistle.”
- Partial least squares structural equation modeling in HRM research (2020, background): “Multigroup (e.g. Matthews, 2018) and moderator analyses (e.g. Henseler & Fassott, 2010) allow for analyzing known or assumed sources of heterogeneity (i.e. analysis of observed heterogeneity).”
- When to use and how to report the results of PLS-SEM (2019, background): “, 2018) or multigroup analysis (Chin and Dibbern, 2010; Matthews, 2017), in combination with a measurement invariance assessment (Henseler et al.”
- An assessment of the use of partial least squares structural equation modeling (PLS-SEM) in hospitality research (2017, methodology): “69 per cent) considered a moderating effect using a multigroup analysis (Matthews, 2018), without, however, testing for measurement invariance.”