irtDemo: Item Response Theory Demo Collection

In irtDemo: Item Response Theory Demo Collection

Description

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.

Usage

  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 [e-mail] and Wes Bonifay [e-mail]

Examples

  ## Not run: 

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

irtDemo documentation built on May 2, 2019, 2:08 p.m.