A Haskell library similar in functionality to the CAT portions of the `catIrt` R library

Analysis of student data from quizzes

Multidimensional Computer Adaptive Testing with the Shadow Testing routine

📚 Apps and reports for multiple-choice test analysis in R with Shiny

R package for working with ConQuest item response modelling software

Developmental version of R package BayesTwin

psychometrics package, including MIRT(multidimension item response theory), IRT(item response theory),GRM(grade response theory),CAT(computerized adaptive testing), CDM(cognitive diagnostic model), FA(factor analysis), SEM(Structural Equation Modeling) .

IRT models using various Bayesian methods

Kot is a basic toolkit for getting started with computerised adaptive testing (CAT) in Ruby.

Bringing Multinomial Processing Tree Models To Item Response Theory To Investigate Response Styles

Estimate Barton & Lord's (1981) <doi:10.1002/j.2333-8504.1981.tb01255.x> four parameter IRT model with lower and upper asymptotes using Bayesian formulation described by Culpepper (2016) <doi:10.1007/s11336-015-9477-6>.

Perform a Bayesian estimation of the Exploratory reduced Reparameterized Unified Model (errum) described by Culpepper and Chen (2018) <doi:10.3102/1076998618791306>.

A PyTorch implementation of "Variational Item Response Theory: Fast Accurate, and Expressive"

Aplicación de IRT a Pobreza Multidimensional

Perform a Bayesian estimation of the Exploratory Deterministic Input, Noisy “And” Gate (EDINA) cognitive diagnostic model described by Chen et al. (2018) <doi:10.1007/s11336-017-9579-4>

Estimate the Deterministic Input, Noisy "And" Gate (DINA) cognitive diagnostic model parameters using the Gibbs sampler described by Culpepper (2015) <doi:10.3102/1076998615595403>.

Mixture of Cognitive Diagnosis Models

Mixture of Cognitive Diagnosis Models

Multilevel Item Response Theory Models for STAT 525 Class

Simulation & Calibration Tool for Computerized Adaptive Tests (CAT) and Item Reponse Theory (IRT)