Name: Hyunsoo Seol
Type: User
Company: Professor, Dept. of Education, Chung-Ang University
Bio: Ph.D. majored in Educational Measurement at the Ohio State University, USA. And jamovi module developer.
Location: Seoul, Korea
Blog: http://jamovi.kr
Hyunsoo Seol's Projects
Set of solutions for the Advanced R programming book
AHP BACKUP
blogdown 제작예시
Bootstrap Item Fit statistics and 95% Confidence Interval using MML estimation in the Rasch model
ClinicoPath jamovi Module
Simple module for jamovi that helps teaching statistics
factoshiny
:link: Methods for Correlation Analysis
:exclamation: This is a read-only mirror of the CRAN R package repository. easyAHP — Analytic Hierarchy Process (AHP)
Package for equipercentile equating
:exclamation: This is a read-only mirror of the CRAN R package repository. eRm — Extended Rasch Modeling
Effect sizes and confidence intervals for R and Jamovi
flexplot: graphical data analysis
GAMLj: GLM, Mixed and Generalized models for jamovi
An R Package for Multiple-Group Latent Class Analysis
jamovi Advanced Mediation Models
jamovi - open software to bridge the gap between researcher and statistician
Psychometrics & Post Data Analysis (PsychoPDA) provides a suite of modules designed to enable researchers to perform post-data analyses in psychometric validation research. Currently, these functions include: Differential Item functioning and Retroactive Design Analysis for T-Tests of mean differences and correlations.
Template for a Basic jamovi Module
jamovi module of log likelihood ratio analyses for common statistical tests
Create "Correlations" jamovi module
jamovi module to reshape datasets
Distribute and run LLMs with a single file.
Jamovi module for longitudinal structural equation models, i.e. (random-intercept) cross lagged panel models
Latent Trait Models under IRT