An adaptive learning tool that will use machine learning techniques to tailor the learning experience to each individual learner.
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Updated
Apr 29, 2024 - TypeScript
An adaptive learning tool that will use machine learning techniques to tailor the learning experience to each individual learner.
Aplicación de IRT a Pobreza Multidimensional
Repository for the Emoxicon R package
Ordinal Cumulative Hurdle Logit Model
Latent space competing risk model for response and response time analysis
Estimating functions for the polytomous testlet response models. See Kang, Han, Kim, & Kao. (2021, EPM)
Running simulation scripts through R and flexMIRT for Multiple Item Response Theory.
Multilevel Item Response Theory Models for STAT 525 Class
Developmental version of R package BayesTwin
Code and data for "Confirmatory factor analysis of the Maltreatment and Abuse Chronology of Exposure (MACE) scale: Evidence for essential unidimensionality".
In this code, we simulate how five different Likert scale changes could impact on the corresponding IRT properties.
Perform a Bayesian estimation of the Exploratory reduced Reparameterized Unified Model (errum) described by Culpepper and Chen (2018) <doi:10.3102/1076998618791306>.
Mixture of Cognitive Diagnosis Models
Graphical tools for IRT model assessment
Unidimensional IRT models using mirt
A lightweight julia package providing basic implementations of item response models
implement machine learning models from scratch
Functions to ease the application of various forms of computer adaptive tests.
R package for working with ConQuest item response modelling software
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