irtDemo function

Item Response Theory Demo Collection

Includes a collection of shiny applications to demonstrate or to explore fundamental item response theory (IRT) concepts such as estimation, scoring, and multidimensional IRT models.

irtDemo(text)

Arguments

• text: argument in quotes referring to the name of shiny application. See details for the list of applications.

Details

text argument can be one of the followings:

• ‘mle’ for Maximum Likelihood Estimation
• ‘est2pl’ for Estimation in 2PL Model
• ‘est3pl’ for Estimation in 3PL Model
• ‘eapmap’ for Expected a Posteriori (EAP) and Maximum a Posteriori (MAP) Estimation
• ‘dich’ for Dichotomous IRT Models
• ‘gpcm’ for Generalized Partial Credit and Partial Credit Models
• ‘grm’ for Graded Response Model
• ‘grsm’ for Generalized Rating Scale and Rating Scale Models
• ‘nrm’ for Nominal Response Model
• ‘mirt’ for Multidimensional Item Response Theory Model

Author(s)

Metin Bulus bulusmetin@gmail.com and Wes Bonifay bonifayw@missouri.edu

Examples

## Not run:

    irtDemo("eapmap")
    irtDemo("mirt")
## End(Not run)

References

Bulus, M., & Bonifay, W. (2022). irtDemo R Package: Pedagogical Interactive Web Applications for Estimation, Scoring, and Multi Dimensionality in Item Response Theory. Anadolu University Journal of Education Faculty, 6(1), 92-108. tools:::Rd_expr_doi("10.34056/aujef.913781")