- Estimating G-DINA model and a variety of widely-used models subsumed by the G-DINA model, including the DINA model, DINO model, additive-CDM (A-CDM), linear logistic model (LLM), reduced reparametrized unified model (RRUM), multiple-strategy DINA model for dichotomous responses
- Estimating models within the G-DINA model framework using user-specified design matrix and link functions
- Estimating Bugs-DINA, DINO and G-DINA models for dichotomous responses
- Estimating sequential G-DINA model for ordinal and nominal responses
- Estimating the diagnostic tree model (experimental)
- Modelling independent, saturated, higher-order, loglinear smoothed, and structured joint attribute distribution
- Accommodating multiple-group model analysis
- Imposing monotonic constrained success probabilities
- Accommodating binary and polytomous attributes
- Validating Q-matrix under the general model framework
- Evaluating absolute and relative item and model fit
- Comparing models at the test and item levels
- Detecting differential item functioning using Wald and likelihood ratio test
- Simulating data based on all aforementioned CDMs
- Providing graphical user interface for users less familiar with R
You can install the development version of GDINA from github with:
# install.packages("devtools")
devtools::install_github("Wenchao-Ma/GDINA")The stable version of GDINA should be installed from R CRAN at here
- Frontiers in Educational Measurement pre-conference workshop on September 11, 2018 at the University of Oslo - see here
- 13th Cross-Strait Conference on Educational and Psychological Testing pre-conference workshop on Oct 18, 2018 - see here
- NCME training session on April 12, 2018 - see here
- NCME training session on April 26, 2017
- Workshop at the Brazil Congress of Item Response Theory November 30-December 1, 2016
- Pre-conference short course in the Fourth Conference on the Statistical Methods in Psychometrics from August 30 to September 1, 2016 at Columbia University here