Get to Know PLS-SEM and SmartPLS
- The PLS-SEM Book
- Book on Advanced Issues in PLS-SEM
- E-Book on PLS-SEM
- PLS-SEM Compared With CB-SEM
- Choosing Between PLS-SEM and CB-SEM
- More Insights on When to Use PLS-SEM (and When Not)
Literature
- Some Recommended Readings
- PLS-SEM Books
- PLS-SEM Special Issues
- PLS-SEM Review Articles
- PLS-SEM Methods Articles
- PLS-SEM Applications
- Some Top Journal PLS-SEM Articles
Videos
- How to create and estimate a SmartPLS model
- HTMT - A New Criterion to Assess Discriminant Validity
- HTMT - Assessing Discriminant Validity in SmartPLS 3
- IPMA - Importance-Performance Map Analysis
- IPMA - Running the Importance-Performance Map Analysis in SmartPLS 3
- PLS-MGA - PLS Multi-Group Analysis
- PLS-MGA - Using the PLS Multi-Group Analysis in SmartPLS 3
SmartPLS Algorithms & Techniques
- Blindfolding
- Bootstrapping
- Consistent Bootstrapping
- Consistent PLS
- Confirmatory Tetrad Analysis in PLS (CTA-PLS)
- Discriminant Validity Assessment
- Finite Mixture Partial Least Squares (FIMIX-PLS)
- Importance-Performance Map Analysis (IPMA)
- Permutation
- PLS Algorithm
- Multigroup Analysis (MGA)
- Prediction-oriented Segmentation (POS)
- PLS Predict
- Weighted PLS Algorithm (WPLS)
- Mediation
- Moderation
- Nonlinear
- Higher-order Models
- Measurement Invariance Assessment (MICOM)
Other SmartPLS Functionalities
- Change Colors and Customize Styles
- Composite, Common Factor and Mixed Models
- Copy & Paste vs. Duplicate
- How to Interpret Excess Kurtosis and Skewness
- Export Your SmartPLS Project
- Goodness of Fit (GoF)
- Import Project from a Folder
- Import Project from Backup File
- Missing Values
- Model Fit
- Outer Weights Initialization and Pre-specification
- Workspace
- Prediction-oriented model selection