SmartPLS Algorithms and Techniques
PLS-SEM
- Blindfolding
- Bootstrapping
- Confirmatory Composite Analysis (CCA)
- Confirmatory Tetrad Analysis in PLS (CTA-PLS)
- Cross-validated Predictive Ability Test (CVPAT)
- Discriminant Validity Assessment and Heterotrait-monotrait Ratio of Correlations (HTMT)
- Endogeneity and Gaussian Copulas
- Finite Mixture Partial Least Squares (FIMIX-PLS)
- Goodness of Fit (GoF)
- Higher-order Models
- Importance-performance Map Analysis (IPMA)
- Measurement Invariance Assessment (MICOM)
- Mediation
- Model Comparison
- Model Fit
- Moderation
- Multigroup Analysis (MGA)
- Nonlinear Relationships
- PLS Prediction-oriented Segmentation (PLS-POS)
- PLS-SEM Algorithm
- PLSpredict
- Permutation
- Prediction-oriented Model Selection
- Principal component analysis (PCA)
- Weighted PLS Algorithm (WPLS)
Regression, Path Analysis and PROCESS
- Logistic Regression
- Necessary Condition Analysis (NCA)
- Path Analysis and PROCESS
- Path Analysis and PROCESS Bootstrapping
- Regression
- Regression Bootstrapping
CFA and CB-SEM
- CB-SEM Bootstrapping
- Confirmatory Factor Analysis (CFA)
- Covariance-based Structural Equation Modeling (CB-SEM)
- Principal component analysis (PCA)
Consistent PLS-SEM
Cite correctly
Please always cite the use of SmartPLS!
Ringle, Christian M., Wende, Sven, & Becker, Jan-Michael. (2024). SmartPLS 4. Bönningstedt: SmartPLS. Retrieved from https://www.smartpls.com
