SmartPLS 4.1.1.8: Advanced PLS-SEM Statistical Analysis Software

SmartPLS 4.1.1.8 is the latest version of the industry-leading software for Partial Least Squares Structural Equation Modeling (PLS-SEM). Released on March 1, 2026, this update introduces significant methodological advancements including importance-performance map analysis (IMPA) for linear regression and effect size sensitivity analysis for necessary condition analysis (NCA-ESSE) .

Key New Features in Version 4.1.1.8

Feature Description
Importance-Performance Map Analysis (IMPA) Integrated IMPA for linear regression models, enabling researchers to identify factors with high importance but low performance for strategic prioritization
NCA Effect Size Sensitivity Analysis (NCA-ESSE) Added effect size sensitivity analysis for necessary condition analysis, enhancing robustness assessment of necessary conditions
Enhanced NCA Permutation Display Improved handling and clear presentation of N/A values in permutation results
Automated Deployment Support Fixed console and unattended modes for Windows installers, enabling seamless automated deployments in enterprise environments

Core Capabilities

PLS-SEM (Partial Least Squares)

  • Path Modeling: Comprehensive structural equation modeling with latent variables

  • Bootstrapping: Significance testing with customizable resampling

  • Blindfolding: Out-of-sample prediction for cross-validated redundancy

  • Importance-Performance Map Analysis (IPMA): Identify areas for strategic improvement

  • Moderation Analysis: Single, two-way, and three-way moderation effects

  • Mediation Analysis: Specific, total, and conditional indirect effects

CB-SEM (Covariance-Based SEM)

  • Model Estimation: Maximum likelihood and generalized least squares

  • Multigroup Analysis (MGA): Compare path coefficients across groups

  • Measurement Invariance Assessment: Verify comparability across groups

  • Model Comparison: Statistically compare competing models

Advanced Methods

  • GSCA (Generalized Structured Component Analysis): Alternative to PLS-SEM with bootstrapping and Gaussian copulas

  • Necessary Condition Analysis (NCA): Identify bottleneck conditions required for desired outcomes

  • Gaussian Copula: Address endogeneity issues in PLS-SEM and regression models

  • PLS-Predict & CVPAT: Out-of-sample prediction and model comparison

  • FIMIX-PLS: Finite mixture segmentation for unobserved heterogeneity

  • POS (Prediction-Oriented Segmentation): Identify heterogeneous groups based on prediction quality

Data Preparation Tools

  • Indicator Transformation: Recode, rescale, combine, or split indicators directly within software

  • Missing Value Handling: Mean replacement, casewise deletion, pairwise deletion

  • Data Import: CSV, Excel, TXT formats with automatic column detection

SmartPLS 4.1.1.8
SmartPLS 4.1.1.8 download