JASP is a free, open-source statistical analysis application designed to make advanced statistical methods accessible without programming knowledge. It provides an intuitive graphical interface familiar to users of traditional statistical software such as SPSS. The application supports both frequentist and Bayesian statistical approaches, allowing researchers to evaluate data using different methods. Users can perform descriptive statistics, hypothesis testing, regression, analysis of variance, and other statistical procedures. Results are displayed in dynamically updated tables and visualizations that respond to changes in analysis settings. JASP also offers specialized modules for machine learning, meta-analysis, factor analysis, and other research applications. Available for Windows, macOS, and Linux, it supports reproducible research and statistical education across academic and professional disciplines.
Features
- Frequentist and Bayesian statistical analysis
- Descriptive statistics and hypothesis testing
- ANOVA, regression, and correlation analysis
- Dynamic statistical tables and visualizations
- Machine learning and specialized analysis modules
- Graphical interface with no programming required