Mplus is a statistical modeling application used to analyze complex research data. It supports a wide range of statistical models and data types, making it useful for researchers working with cross-sectional, longitudinal, single-level, multilevel, and population-based data.
Mplus is commonly used for advanced modeling approaches involving observed and latent variables, including factor analysis, structural equation modeling, mixture modeling, and simulation studies.
Key Uses
- Analyze complex research datasets
- Build statistical and latent variable models
- Work with cross-sectional and longitudinal data
- Analyze single-level and multilevel data
- Model missing data and population differences
- Conduct Monte Carlo simulation studies
- Generate graphical displays of data and analysis results
Features
- Support for continuous, categorical, count, and mixed variable types
- Models for observed and unobserved population differences
- Tools for analyzing missing data
- Estimators and algorithms for advanced statistical modeling
- Graphical displays of data and results
- Monte Carlo simulation capabilities
Common Applications
- Structural equation modeling
- Factor analysis
- Growth modeling
- Multilevel modeling
- Mixture modeling
- Longitudinal data analysis
- Social, behavioral, educational, and health research
How To Get A Copy
Departmental requests, please contact the UR Tech Store.
Cost
Pricing varies by product.
Payment may be made by Web Requisition, 312 requisition or emailing FAO (university account number)
System Requirements
Visit Statmodel for details.