Estimators for structural equation models based on PLS
| Estimator | Inventor(s) | Purpose |
|---|---|---|
| PLS | Wold (1974, 1975, 1982) | A computationally efficient but inconsistent estimator for structural equation models containing latent variables (however, it provides consistent estimates for the composite model) |
| ordinal PLS | Cantaluppi and Boari (2016) | A modification of PLS that can cope with ordinal categorical observed variables in a psychometric way |
| robust PLS | Schamberger et al. (2020) | A modification of PLS that can cope with unsystematic outliers |
| PLSc | Dijkstra and Henseler (2015a, 2015b) | An extension of PLS that provides consistent estimates for structural models containing latent variables |
| PLSe1 | Huang (2013) | A one-step improvement methodology based on PLSc-estimated factor loadings and 2SLS-estimated structural parameters |
| PLSe2 | Huang (2013) | An optimal generalized least squares methodology using a PLSc-implied covariance matrix |
| ordinal PLSc | Schuberth et al. (2018b) | A modification of PLSc that can cope with ordinal categorical observed variables in a psychometric way |
| robust PLSc | Schamberger et al. (2020) | A modification of PLSc that can cope with unsystematic outliers |
| PLSc via regularization | Jung and Park (2018) | A modification of PLSc that can cope with multicollinearity issues in the structural model |
| Estimator | Inventor(s) | Purpose |
|---|---|---|
| PLS | Wold ( | A computationally efficient but inconsistent estimator for structural equation models containing latent variables (however, it provides consistent estimates for the composite model) |
| ordinal PLS | A modification of PLS that can cope with ordinal categorical observed variables in a psychometric way | |
| robust PLS | A modification of PLS that can cope with unsystematic outliers | |
| PLSc | An extension of PLS that provides consistent estimates for structural models containing latent variables | |
| PLSe1 | A one-step improvement methodology based on PLSc-estimated factor loadings and 2SLS-estimated structural parameters | |
| PLSe2 | An optimal generalized least squares methodology using a PLSc-implied covariance matrix | |
| ordinal PLSc | A modification of PLSc that can cope with ordinal categorical observed variables in a psychometric way | |
| robust PLSc | A modification of PLSc that can cope with unsystematic outliers | |
| PLSc via regularization | A modification of PLSc that can cope with multicollinearity issues in the structural model |
Sharing content requires targeting cookies to be enabled. Please update your cookie preferences to use this feature.