JASP

JASP provides statistical analysis and inference for research, implementing classical and Bayesian methods for hypothesis testing, modeling, and APA-formatted result reporting.

Key Features:

• Comprehensive Analysis Methods: Implements t-tests, ANOVA, regression analysis, factor analysis, machine learning, meta-analysis, network analysis, and structural equation modeling (SEM).
• Bayesian Analysis: Supports Bayesian statistical methods alongside classical frequentist approaches for inference.
• Data Handling Capabilities: Includes a data editor for visual inspection and pre-processing and supports importing and exporting data from various sources.
• Visualization and Reporting: Produces tables and figures formatted according to the American Psychological Association (APA) convention.
• Foundation on R: Performs statistical computations based on the R programming language.

Scientific Applications:

• Psychology: Supports psychological research workflows including hypothesis testing, factor analysis, structural equation modeling, and APA-formatted reporting.
• Social Sciences: Supports social science research including regression, meta-analysis, network analysis, and Bayesian modeling.

Methodology:

Statistical computations are implemented in R and include t-tests, ANOVA, regression, factor analysis, machine learning, meta-analysis, network analysis, and structural equation modeling, with support for both Bayesian and frequentist inference plus data import/export, a data editor, and APA-formatted tables and figures.