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On Components, Latent Variables, PLS and Simple Methods: Reactions to Rigdon's Rethinking of PLS
Open accessAbstract
Rigdon (2012) suggests that partial least squares (PLS) can be improved by killing it, that is, by making it into a different methodology based on components. We provide some history on problems with component-type methods and develop some implications of Rigdon's suggestion. It seems more appropriate to maintain and improve PLS as far as possible, but also to freely utilize alternative models and methods when those are more relevant in certain data analytic situations. Huang's (2013) new consistent and efficient PLSe2 methodology is suggested as a candidate for an improved PLS.
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An assessment of the use of partial least squares structural equation modeling in marketing research
Hair, J. F., Sarstedt, M., Ringle, C. M., & Mena, J. A. (2012) · Journal of the Academy of Marketing Science · doi:10.1007/s11747-011-0261-6 · Cited by 8,088
Modern Methods for Business Research
(1998) · doi:10.4324/9781410604385 · Cited by 6,534
Statistical Approaches to Measurement Invariance
Millsap, R. E. (2012) · doi:10.4324/9780203821961 · Cited by 1,554
Beyond SEM: General latent variable modeling
Muthén, B. O. (2002) · Behaviormetrika · doi:10.2333/bhmk.29.81 · Cited by 1,074
Cited by
Partial least squares structural equation modeling (PLS-SEM): An emerging tool in business research
F. Hair Jr, J., Sarstedt, M., Hopkins, L., & G. Kuppelwieser, V. (2014) · European Business Review · doi:10.1108/ebr-10-2013-0128 · Cited by 11,728
Using pls path modeling in new technology research: updated guidelines
Henseler, J., Hubona, G., & Ray, P. A. (2016) · Industrial Management & Data Systems · doi:10.1108/imds-09-2015-0382 · Cited by 7,173
An updated and expanded assessment of PLS-SEM in information systems research
Hair, J., Hollingsworth, C. L., Randolph, A. B., & Chong, A. Y. L. (2017) · Industrial Management & Data Systems · doi:10.1108/imds-04-2016-0130 · Cited by 4,043
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
Testing measurement invariance of composites using partial least squares
Henseler, J., Ringle, C. M., & Sarstedt, M. (2016) · International Marketing Review · doi:10.1108/imr-09-2014-0304 · Cited by 2,964
Metadata
- Authors
- Bentler, P. M., & Huang, W.
- Venue
- Long Range Planning
- Publisher
- Elsevier BV
- Published
- 2014-06
- Volume
- 47
- Issue
- 3
- Pages
- 138-145
- ISSN
- 0024-6301 (ISSN-L)
- OpenAlex
- W2092718724
- Cited by
- 166
- References
- 4
- FWCI
- 9.97
- Type
- journal article
- Language
- en
- Open access
- bronze
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- Bentler, P. M., & Huang, W. (2014). On Components, Latent Variables, PLS and Simple Methods: Reactions to Rigdon's Rethinking of PLS. Long Range Planning. https://doi.org/10.1016/j.lrp.2014.02.005
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