SmartPLS 4.1.1.8

Description

SmartPLS 4.1.1.8

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 importance-performance map analysis 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

Advanced Methods

  • GSCA: Generalized structured component analysis 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

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tags： SmartPLS 4.1.1.8

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