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Among the features of SmartPLS software, the following can be mentioned:
• Path Least Squares (PLS) modeling algorithm (including fixed PLS)
• Sentence-based ordinary least squares regression
• Advanced bootstrap options
• Blindfolding
• Importance performance matrix analysis (IPMA)
• Multivariate analysis (MGA)
• Models Hierarchical component (second-order models)
• Non-linear relationships (eg quadratic effects)
• Confirmatory quadratic analysis (CTA)
• Constraint partitioning (FIMIX)
• Predictive partitioning (POS)
• And more…
SmartPLS helps you to find the result of your research is partial structural equation modeling (PLS-SEM) method, which is used to evaluate models related to complex relationship with latent variables. It became especially popular in social science disciplines such as accounting, family business, marketing, management information systems, operations management, and strategic management.
SmartPLS 4
Download SmartPLS (Latest release: 4.1.0.6)
SmartPLS analyses are fun and hassle-free.
Get deep insights into your data easily!
The powerful modeling environment lets you create a path model in minutes.
The project manager helps you to keep track of all your analyses and files.
Customize your model with colors, borders, and fonts to underline your ideas individually!
In-built explanations of the algorithms and meaningful defaults give you an easy start into the PLS-SEM world.
Well-organized reports provide full insights into your results.
Save your results permanently as an HTML report or Excel file.
Create data groups to run multi-group analyses effortlessly.
Create interaction terms and run moderator analyses without any problems.
SmartPLS is the workhorse for all PLS-SEM analyses – for beginners as well as experts
Here is our (constantly growing) list of all available calculation methods. Relevant innovative algorithms will also be made available in SmartPLS within a short time. We promise.
Partial least squares (PLS) path modeling
Ordinary least squares (OLS) regression based on sum scores
Consistent PLS (PLSc)
Weighted PLS (WPLS), weighted OLS (WOLS), and weighted consistent PLS (WPLSc)
Bootstrapping and the use of advanced bootstrapping options
Blindfolding
Importance-performance map analysis (IPMA)
PLS multi-group analysis (MGA): Analyses the difference and significance of group-specific PLS path model estimations
Higher-order Models
Mediation: Estimation of indirect effects and their bootstrap-based significance testing
Moderation: Estimation of interaction effects and their bootstrap-based significance testing
Nonlinear relationships: Estimation of quadratic effects and their bootstrap-based significance testing
Confirmatory tetrad analysis (CTA): A statistical technique that allows for empirical testing of the measurement model setup
Finite mixture (FIMIX) segmentation: A latent class approach that allows identifying and treating unobserved heterogeneity in path models
Prediction-oriented segmentation (POS): An approach to identify groups of data
PLS Predict: A technique to determine the predictive quality of the PLS path model
