Get to Know PLS-SEM and SmartPLS
Getting Started
- The PLS-SEM Book
- Book on Advanced Issues in PLS-SEM
- E-Book on PLS-SEM
- Online Courses: Join the PLS-SEM Academy
Recent Developments
Literature
- Recommended Readings
- PLS-SEM Books
- PLS-SEM Special Issues
- PLS-SEM Review Articles
- PLS-SEM Methods Articles
- PLS-SEM Applications
Videos
- Importing data in SmartPLS 3 and getting started
- Missing data marker in SPSS and SmartPLS 3
- 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
- Videos for CHINA
- Videos for TAIWAN
Choosing PLS-SEM
SmartPLS
SmartPLS Algorithms & Techniques
- Blindfolding
- Bootstrapping
- Confirmatory Composite Analysis (CCA)
- Confirmatory Tetrad Analysis in PLS (CTA-PLS)
- Consistent Bootstrapping
- Consistent PLS
- Discriminant Validity Assessment
- Goodness of Fit (GoF)
- Finite Mixture Partial Least Squares (FIMIX-PLS)
- Higher-order Models
- Importance-Performance Map Analysis (IPMA)
- Permutation
- Mediation
- Measurement Invariance Assessment (MICOM)
- Model Fit
- Moderation
- Multigroup Analysis (MGA)
- Prediction-oriented Segmentation (POS)
- Nonlinear
- PLS Algorithm
- PLS Predict
- PLS and Bootstrapping Problems
- Prediction-oriented model selection
- Weighted PLS Algorithm (WPLS)
Other SmartPLS Functionalities
- Assign More Computer Memory to SmartPLS
- Change Colors and Customize Styles
- Choose Your Language
- Composite, Common Factor and Mixed Models
- Copy & Paste vs. Duplicate
- Data Import
- How to Interpret Excess Kurtosis and Skewness
- Export Your SmartPLS Project
- Import Project from a Folder
- Import Project from Backup File
- Missing Values
- Outer Weights Initialization and Pre-specification
- Workspace