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

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 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.

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.

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.

Complete introductory statistics textbook with an emphasis on the biological & environmental sciences. Includes 26 chapters introducing key concepts for a foundational understanding of statistics and 9 complementary chapters of exercises with jamovi. Supplemental shiny apps illustrate book concepts. All code and datasets are freely available.

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

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.

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

Estimation Statistics with Confidence Intervals

Path Analysis module for jamovi

The project investigates the evolution of a Fuzzy delphi method module that has been incorporated into Jamovi and explores its potential uses and benefits.

A jamovi module to calculate Student's and Welch's t-Test (including related Cohen's d) based on summary data (mean, standard deviation, and sample size), to comprehend reported tests.

Docs of jamovi Advanced Mediation Models

The Big Bang of Data Science- Analysis from the Start to The End- [Book Two]

ClinicoPath jamovi Module

Basic Statistical Methods for Social Science [Textbook]

💻 OpenIntro labs for Jamovi

A manual that provides a brief step-by-step instructions on data analysis using R and Jamovi.

ClinicoPath jamovi module Descriptives