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
Jamovi module for longitudinal structural equation models, i.e. (random-intercept) cross lagged panel models
Latent Trait Models under IRT
Magic Functions to Obtain Results from for Loops in R
Mediation and moderation module for jamovi and R
:exclamation: This is a read-only mirror of the CRAN R package repository. mixRasch — Mixture Rasch Models with JMLE