jamovi - open software to bridge the gap between researcher and statistician

• UpdatedMar 17, 2025
• JavaScript

GAMLj: GLM, Mixed, Generalized and Generalized mixed models for jamovi

• UpdatedJan 20, 2025
• R

Estimation Statistics with Confidence Intervals

• UpdatedMar 7, 2025
• R

Meta-Analysis for JAMOVI

• UpdatedMay 16, 2023
• C++

ClinicoPath jamovi Module

• UpdatedFeb 23, 2025
• R

Meta-Analysis for JAMOVI

• UpdatedNov 11, 2017
• R

NCA-SEM module for Jamovi. Necessary Condition Analysis via Structural Equation Modeling (NCA-SEM) is a data analysis method that is used to identify the necessary conditions for a desired outcome

• UpdatedOct 5, 2024
• R

jamovi Advanced Mediation Models

• UpdatedOct 29, 2024
• R

This module is a tool for calculating correlations such as Partial, Tetrachoric, Intraclass correlation coefficients, Bootstrap agreement, Rater reliability, Generalizability Theory, Analytic Hierarchy Process, and allows users to produce Gaussian Graphical Model and Partial plot.

• UpdatedNov 5, 2024
• R

wrapper functions to use ggstatsplot functions as a module in jamovi

• UpdatedFeb 24, 2025
• R

Latent Class analysis: This module allows users to conduct LCA, Multiple group LCA, and Multilevel LCA based on glca R package, and provide plot such as Profile plot and Radar chart within module.

• UpdatedMar 9, 2025
• R

This module includes Item Statistics, Model fit, Differential Item Functioning, Wright Map, Expected Scores Curve,and Item Characteristic Curve for DIF using MML estimation of the Rasch measurement model. Furthermore you can analyze DIF, Distractor analysis and Many facet Rasch model.

• UpdatedNov 5, 2024
• R

This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Decision tree, Multidimensional scaling, Multiple Factor Analysis, Machine learning, and Prophet analysis.

• UpdatedMar 15, 2025
• R

💻 OpenIntro labs for Jamovi

• UpdatedFeb 15, 2024
• HTML

Latent Class Analysis(LCA), LCA for ordinal indicators, Latent class growth modeling, Laten Profile Analysis, Rasch model, Linear Logistic Test Model, Rasch mixture model, linear and equipercentile equating can be performed within module.

• UpdatedMar 8, 2025
• R

Mediation and moderation module for jamovi and R

• UpdatedNov 7, 2019
• R

• UpdatedJun 7, 2023
• R

Routines to read and write (jamovi) OMV-files from R

• UpdatedMar 15, 2025
• R

POC Jamovi <=1.6.18 is affected by a cross-site scripting (XSS) vulnerability. The column-name is vulnerable to XSS in the ElectronJS Framework. An attacker can make a .omv (Jamovi) document containing a payload. When opened by victim, the payload is triggered.

• UpdatedOct 31, 2021

Tutorial worksheets for Statistics with Jamovi.

• UpdatedMar 24, 2022
• HTML