Structural Parameters under Partial Least Squares and Covariance-Based Structural Equation Modeling
A Comment on Yuan and Deng (2021)
Bibliographic Data
| ID | 21641763 |
|---|---|
| Authors | Florian Schuberth (0000-0002-2110-9086, University of Twente, corresponding author), Yves Rosseel (0000-0002-4129-4477, Ghent University), Mikko Rönkkö (0000-0001-7988-7609, University of Jyväskylä), Laura Trinchera (0000-0001-9679-0956, NEOMA Business School), Rex B Kline (0000-0001-6581-592X, Concordia University), Jörg Henseler (0000-0002-9736-3048, University of Twente) |
| Year | 2023 |
| Volume | 30 |
| Issue | 3 |
| Pages | 339-345 |
| Publication date | 2023-05-04 |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Structural Equation Modeling: A Multidisciplinary Journal (JOURNAL) |
| Journal identifiers | ISSN: 1070-5511 • E-ISSN: 1532-8007 |
| Publisher | Informa UK Limited (PUBLISHER • GB) |
| DOI | 10.1080/10705511.2022.2134140 |
| OpenAlex | W4309499037 |
| Language | EN |
| Citations received | 5 |
| References cited | 32 |
In their article, Yuan and Deng argue that a structural parameter under partial least squares structural equation modeling (PLS-SEM) is zero if and only if the same structural parameter is zero under covariance-based structural equation modeling (CB-SEM). Yuan and Deng then conclude that statistical tests on individual structural parameters assessing the null hypothesis of no effect can achieve the same purpose in CB-SEM and PLS-SEM. Our response to their article highlights that the relationship they find between PLS-SEM and CB-SEM structural parameters is not universally valid, and that consequently, tests on individual parameters in CB-SEM and PLS-SEM generally do not fulfill the same purpose
Covariance · Data mining · Econometrics · Null hypothesis · Partial least squares regression · Statistics · Structural equation modeling · Advanced Statistical Modeling Techniques · Computer Science · Mathematics · Philosophy · Psychometric Methodologies and Testing · Technology and Data Analysis · Applied Mathematics
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| Citations per year | 1.67 |
|---|---|
| Citation span | 2023 - 2026 (4) |
| Highly cited | No |