SmartPLS Algorithms and Techniques
- Blindfolding
- Bootstrapping
- CB-SEM Bootstrapping
- CB-SEM and CFA
- Confirmatory Composite Analysis (CCA)
- Confirmatory Tetrad Analysis in PLS (CTA-PLS)
- Consistent Bootstrapping
- Consistent PLS-SEM
- 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)
- Logistic Regression
- Measurement Invariance Assessment (MICOM)
- Mediation
- Model Fit
- Moderation
- Multigroup Analysis (MGA)
- Necessary Condition Analysis (NCA)
- Nonlinear Relationships
- PLS Prediction-oriented Segmentation (PLS-POS)
- PLS-SEM Algorithm
- PLSpredict
- Path Analysis and PROCESS
- Path Analysis and PROCESS Bootstrapping
- Permutation
- Prediction-oriented Model Selection
- Regression
- Weighted PLS Algorithm (WPLS)
Other SmartPLS Functionalities
- Importing data files
- Storage, import and export of projects
- Memory settings
- Localization and language settings
- Commenting your models
- Thresholds for different result colors in the SmartPLS report
- Composite, Common Factor and Mixed Models
- How to Interpret Excess Kurtosis and Skewness
- Missing Values
- Outer Weights Initialization and Pre-specification
CB-SEM/CFA Sample Projects