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
Multilevel Item Response Theory Models for STAT 525 Class
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.
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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