data.ml

data.ml1

data.ml2

Datasets for conducting multilevel IRT analysis. This dataset is used
in the examples of the function <code><a href="/link/mcmc.2pno.ml?package=sirt&version=1.9-0" rd-options="" data-mini-rdoc="sirt::mcmc.2pno.ml">mcmc.2pno.ml</a></code>.

datasets


    Supplementary item response theory models to complement existing 
    functions in R, including multidimensional compensatory and
    noncompensatory IRT models, MCMC for hierarchical IRT models and 
    testlet models, NOHARM, faceted and hierarchical rater models, 
    ordinal IRT model (ISOP), latent regression models, 
    DETECT statistic, local structural equation modeling (LSEM).

Alexander Robitzsch

sirt

Supplementary Item Response Theory Models

data.ml function

<ul><li><code>data.ml1</code>A data frame with 2000 student observations in 100 classes on 17 variables.
  The first variable<code>group</code>contains the class identifier.
  The remaining 16 variables are dichotomous test items.<code>'data.frame':   2000 obs. of  17 variables:</code><code>$ group: num  1001 1001 1001 1001 1001 ...</code><code>$ X1   : num  1 1 1 1 1 1 1 1 1 1 ...</code><code>$ X2   : num  1 1 1 0 1 1 1 1 1 1 ...</code><code>$ X3   : num  0 1 1 0 1 0 1 0 1 0 ...</code><code>$ X4   : num  1 1 1 0 0 1 1 1 1 1 ...</code><code>$ X5   : num  0 0 0 1 1 1 0 0 1 1 ...</code><code>[...]</code><code>$ X16  : num  0 0 1 0 0 0 1 0 0 0 ...</code></li><li><code>data.ml2</code>A data frame with 2000 student observations in 100 classes on 6 variables.
  The first variable<code>group</code>contains the class identifier.
  The remaining 5 variables are polytomous test items.<code>'data.frame':   2000 obs. of  6 variables:</code><code>$ group: num  1 1 1 1 1 1 1 1 1 1 ...</code><code>$ X1   : num  2 3 4 3 3 3 1 4 4 3 ...</code><code>$ X2   : num  2 2 4 3 3 2 2 3 4 3 ...</code><code>$ X3   : num  3 4 5 4 2 3 3 4 4 2 ...</code><code>$ X4   : num  2 3 3 2 1 3 1 4 4 3 ...</code><code>$ X5   : num  2 3 3 2 3 3 1 3 2 2 ...</code></li></ul>

data.ml: Multilevel Datasets

Description

Usage

Arguments

format