jamovi - open software to bridge the gap between researcher and statistician
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Updated
Sep 19, 2024 - JavaScript
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
wrapper functions to use ggstatsplot functions as a module in jamovi
Create scatter plots with marginal density / box plots in jamovi and 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.
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.
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.
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