Stata is a statistical software package commonly used for data analysis, data management, and graphics.
Starting from $57/month for students
Best IBM SPSS Amos Alternatives ranked by AI · updated Aug 2026
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IBM SPSS Amos is graphical software for structural equation modeling, confirmatory factor analysis, path analysis, and latent variable models. It is designed for applied researchers who prefer drawing models visually and working within the broader SPSS ecosystem.
Top 6 IBM SPSS Amos alternatives
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LISREL is a statistical software package used for structural equation modeling (SEM). It provides tools for path analysis, confirmatory factor analysis, and...
Contact for pricing
Mplus is statistical software for structural equation modeling, latent variable analysis, multilevel modeling, mixture modeling, and longitudinal data analysis. It is used...
Pros
- Handles SEM, growth models, mixture models, multilevel models, and complex survey designs in one application
- Stronger support for categorical and non-normal outcomes than many GUI-focused SEM tools
- Includes robust missing-data, Bayesian, and Monte Carlo simulation capabilities
Cons
- Paid licensing is more expensive than R-based alternatives such as lavaan and OpenMx
- Input syntax has a steeper learning curve than AMOS or SmartPLS
- Limited data management and general-purpose statistical features compared with Stata
From $195 (student license)
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lavaan
Yves Rosseel and contributors
lavaan is an open-source R package for covariance-based structural equation modeling, confirmatory factor analysis, path analysis, and growth modeling. It is aimed...
Pros
- Free and open source, unlike Mplus
- Excellent syntax for CFA, path analysis, mediation, and latent growth models
- Integrates directly with R data handling, visualization, and reporting tools
Cons
- Less comprehensive than Mplus for mixture, complex survey, and specialized categorical models
- Requires R programming rather than offering a standalone graphical interface
- Bayesian modeling is less integrated than in Mplus
Free, open source
5
OpenMx
OpenMx contributors
OpenMx is an open-source R-based framework for structural equation modeling, matrix algebra, genetic models, and other customizable statistical models. It is intended...
Pros
- Free and open source, with full access to R programming
- More customizable for complex and novel model structures than many GUI tools
- Supports SEM, twin studies, state-space models, and matrix-based estimation
Cons
- Steeper programming and matrix-algebra learning curve than Mplus
- Smaller user community and fewer beginner-oriented tutorials than lavaan
- Less polished for standard point-and-click SEM workflows
Free, open source
6
SmartPLS
SmartPLS GmbH
SmartPLS is software for partial least squares structural equation modeling, confirmatory composite analysis, and related multivariate methods. It is aimed at applied...
Pros
- More accessible graphical workflow than Mplus for PLS path models
- Strong support for prediction-oriented PLS-SEM and composite constructs
- Includes bootstrapping, mediation, moderation, and importance-performance analysis
Cons
- PLS-SEM is methodologically different from Mplus's covariance-based SEM
- Less suitable for latent growth, mixture, multilevel, and complex survey models
- Advanced features require a paid plan
Freemium, paid plans available
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