A Java library for classical test theory, item response theory, factor analysis, and other measurement techniques. It provide tools commonly used in psychometrics and operational testing programs.
R package for Rasch Measurement Theory based psychometrics, for use with the scientific publishing system Quarto.
R package for psychometric analyses using Rasch Measurement Theory
Psychometric analyses of Stockholmsenkäten using Rasch Measurement Theory with R and Quarto
Various R scripts concerning psychometrics, Rasch, and other things
An implementation of the BUGS example LSAT: item response (http://www.openbugs.net/Examples/Lsat.html) on R. Parameters for the Rasch model are estimated using Maximum Marginal Likelihood as well as Bayesian Inference using jags and an implementation of Metropolis on R.
A fast IRT library — JAX-accelerated MMLE-EM for 1PL/2PL/3PL/4PL item response models (15–50x faster than girth)
Fitting a 1PL IRT model (or Rasch model) using Turing.jl.
R package for Leunbach Test Equating (for Rasch Measurement Theory)
"Estimates Rasch model difficulty & person parameters via GLM framework using Raw Scores as proxy for Abilities (cor=1). Includes an interactive R Shiny app for real-time statistical modeling, data visualization, and psychometric parameter analysis."
Psychometric analysis using Rasch methodology and open data for the AAQ-2
Rasch model analysis of a 15-item dichotomous culture knowledge test using R, including reliability, dimensionality, item fit, local dependence, and person-item analysis
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