Photo by mbaumi from unsplash
A recently released R package IRTBEMM is presented in this article. This package puts together several new estimation algorithms (Bayesian EMM, Bayesian E3M, and their maximum likelihood versions) for the… Click to show full abstract
A recently released R package IRTBEMM is presented in this article. This package puts together several new estimation algorithms (Bayesian EMM, Bayesian E3M, and their maximum likelihood versions) for the Item Response Theory (IRT) models with guessing and slipping parameters (e.g., 3PL, 4PL, 1PL-G, and 1PL-AG models). IRTBEMM should be of interest to the researchers in IRT estimation and applying IRT models with the guessing and slipping effects to real datasets.
Keywords:
package;
models guessing;
guessing slipping;
irt models;
slipping parameters
Journal Title: Applied Psychological Measurement
Year Published: 2020
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!
Journal Title: Applied Psychological Measurement
Year Published: 2020
Link to full text (if available)
Share on Social Media: Sign Up to like & get
recommendations!