LatentGOLD® — Latent Class and Mixture Modeling Software

LatentGOLD® is fast, flexible, and user-friendly software for latent class analysis, latent profile analysis, finite mixture modeling, choice modeling, segmentation, clustering, and advanced latent variable modeling.

It is used by researchers, universities, market researchers, consultants, and data analysts who need powerful tools for discovering hidden subgroups, modeling unobserved heterogeneity, and analyzing complex data.

What You Can Do with LatentGOLD

LatentGOLD helps you discover hidden structure in data and build models for segmentation, classification, prediction, longitudinal analysis, and advanced research.

  • Identify hidden subgroups or segments using model-based clustering
  • Estimate latent class and latent profile models for categorical, continuous, count, and mixed data
  • Build latent class regression and finite mixture models
  • Analyze longitudinal data using latent class growth, latent transition, and latent Markov models
  • Include covariates, predictors, and distal outcomes using one-step, two-step, or three-step approaches
  • Fit multilevel latent class and mixture models for nested data
  • Analyze choice and preference data with LatentGOLD Choice
  • Go beyond discrete latent classes with continuous latent variables, including factor and latent trait/IRT models, as well as mixture structural equation models
  • Compare models and determine the appropriate number and structure of latent classes

LatentGOLD is used across marketing research, the social and behavioral sciences, health research, education, psychology, and many other fields.

Why LatentGOLD?

Easy to Use, with Advanced Options When You Need Them

Many analyses can be performed entirely through the graphical user interface. For more advanced applications, the Syntax module provides extensive control over model specification, parameter restrictions, complex model structures, and reproducible analysis workflows.

More Than Latent Class Analysis

Although LatentGOLD is best known for latent class and latent profile analysis, its modeling framework extends well beyond standard latent class models. Discrete and continuous latent variables can be combined to estimate models such as mixture regression and growth models, factor and latent trait models, multilevel models, and mixture structural equation models.

Powerful Stepwise Modeling Methods

LatentGOLD includes two-step and three-step methods for relating latent classes to predictors and outcomes while accounting for classification uncertainty. Several of these methods were originally developed by members of the LatentGOLD development team.

Flexible Modeling of Complex Data

LatentGOLD supports categorical, ordinal, continuous, count, and mixed response variables, longitudinal and nested data structures, and a wide range of regression and mixture model specifications.

Continuously Expanded Modeling Capabilities

The current version, LatentGOLD 6.1, further extends the software’s latent variable modeling capabilities with features such as mixture structural equation modeling, three-step analysis with continuous latent variables, and parametric survival models.
See what’s new in LatentGOLD 6.1

Tools for Model Evaluation and Selection

A comprehensive set of fit statistics, diagnostic measures, tests, and classification statistics helps you compare alternative models and evaluate the quality of your solution.
Explore LatentGOLD features

Try LatentGOLD or Get a License

LatentGOLD is available as a free trial, as a free academic single-user license for eligible users, and as standard or concurrent-user licenses. Before ordering, you can review the license types, eligibility requirements, and available options.
View all LatentGOLD license options

Free 14-Day Trial

If you would like to try LatentGOLD before obtaining a license, you can order a free 14-day trial and evaluate the software using your own data.
View trial license options

Free Academic Single-User Licenses

A free academic single-user license is available to eligible students, researchers, and educators affiliated with a university or college when LatentGOLD is used strictly for academic teaching, learning, or non-commercial academic research. The academic license requirements are explained on the license options page.
View academic license requirements and options

Standard and Concurrent-User Licenses

Standard licenses are available for professional, commercial, government, non-profit, and other non-academic use. Concurrent-user licenses are available for teams, departments, and organizations that require shared access.
View standard and concurrent-user options

Learning, Training, and Support

Whether you are new to latent class analysis or already familiar with mixture and latent variable modeling, we provide extensive resources to help you get started and deepen your knowledge.

  • Tutorials and examples —
    Step-by-step examples covering introductory and advanced LatentGOLD applications.
    View tutorials
  • User guides and documentation —
    Detailed documentation for the program, modules, and Syntax language.
    View user guides
  • Video tutorials and training —
    Videos, self-study materials, courses, and other training opportunities.
    Watch videos |
    View training
  • LatentGOLD Assistant —
    AI-based support that helps you understand procedures, options, and documentation while working with LatentGOLD.
    Open the AI Assistant
  • Mixture Modeling Workshop —
    Dan Bauer’s workshop on mixture modeling and latent class analysis now includes demonstrations using LatentGOLD.
    Learn more at CenterStat

Statistical Innovations Europe

LatentGOLD is developed, distributed, and supported by Statistical Innovations Europe in Tilburg, The Netherlands, continuing our long-standing involvement in the development of LatentGOLD.

In addition to LatentGOLD, Statistical Innovations Europe provides licenses for other statistical software originally developed and distributed by Statistical Innovations Inc., including CORExpress™, SI-CHAID®, and GOLDMineR™.

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