The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.
Partial Least Squares (PLS) Methods: Origins, Evolution, and Application to Social Sciences
Open accessAbstract
This article attempts to clarify some of the existing doubts about PLS methods and in an integrative capacity, allow them to be better understood. The historical evolution included here starts by describing the prior knowledge which led the originator of partial least squares (PLS), the Swedish professor Herman Wold, to develop PLS techniques. Next, the emergence of PLS Regression is described. After that, the parallel development of PLS-Path Modeling, the PLS approach for structural equation modeling, is presented. Lastly, the different algorithms and software are listed and a description is given of how PLS-Path Modeling has been implemented in social sciences.
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Cites
Modern Methods for Business Research
(1998) · doi:10.4324/9781410604385 · Cited by 6,534
Chin, W. W., Marcolin, B. L., & Newsted, P. R. (2003) · Information Systems Research · doi:10.1287/isre.14.2.189.16018 · Cited by 6,479
Cited by
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Hair, J. F., Risher, J. J., Sarstedt, M., & Ringle, C. M. (2019) · European Business Review · doi:10.1108/ebr-11-2018-0203 · Cited by 27,541
Partial Least Squares Structural Equation Modeling (PLS-SEM) Using R: A Workbook
Hair, J. F., Hult, G. T. M., Ringle, C. M., Sarstedt, M., Danks, N. P., & Ray, S. (2021) · Classroom Companion: Business · doi:10.1007/978-3-030-80519-7 · Cited by 10,343
Assessing measurement model quality in PLS-SEM using confirmatory composite analysis
Hair, J. F., Howard, M. C., & Nitzl, C. (2020) · Journal of Business Research · doi:10.1016/j.jbusres.2019.11.069 · Cited by 5,446
Partial least squares structural equation modeling
Sarstedt, M., Ringle, C. M., & Hair, J. F. (2017) · Handbook of Market Research · doi:10.1007/978-3-319-05542-8_15-1 · Cited by 3,285
Partial least squares structural equation modeling in HRM research
Ringle, C. M., Sarstedt, M., Mitchell, R., & Gudergan, S. P. (2020) · The International Journal of Human Resource Management · doi:10.1080/09585192.2017.1416655 · Cited by 1,943
Metadata
- Authors
- Mateos-Aparicio, G.
- Venue
- Communications in Statistics - Theory and Methods
- Publisher
- Informa UK Limited
- Published
- 2011-04-21
- Volume
- 40
- Issue
- 13
- Pages
- 2305-2317
- ISSN
- 0361-0926 (ISSN-L)
- 1532-415X
- OpenAlex
- W2074259494
- Cited by
- 279
- References
- 2
- FWCI
- 2.50
- Type
- journal article
- Language
- en
- Open access
- green
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- Mateos-Aparicio, G. (2011). Partial Least Squares (PLS) Methods: Origins, Evolution, and Application to Social Sciences. Communications in Statistics - Theory and Methods. https://doi.org/10.1080/03610921003778225
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
