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

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

Estimation Statistics with Confidence Intervals

ClinicoPath jamovi Module

Meta-Analysis for JAMOVI

jamovi Advanced Mediation Models

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

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.

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

Meta-Analysis for JAMOVI

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.

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.

wrapper functions to use ggstatsplot functions as a module in jamovi

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.

💻 OpenIntro labs for Jamovi

Tutorial worksheets for Statistics with Jamovi.

Mediation and moderation module for jamovi and R

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