data.gpcm


Dataset with ordered values of 3 indicators


datasets


Includes marginal maximum likelihood estimation of uni- and
multidimensional item response models (Rasch, 2PL, 3PL,
Generalized Partial Credit, Multi Facets,
Nominal Item Response, Structured Latent Class Analysis,
Mixture Distribution IRT Models, Located Latent Class Models)
and joint maximum likelihood estimation for models
from the Rasch family.
Latent regression models and plausible value imputation are
also supported.

Alexander Robitzsch

Test Analysis Modules

data.gpcm function

A data frame with 392 observations on the following 3 items.
  <dl>
    <dt><code>Comfort</code></dt><dd>a numeric vector</dd> <dt><code>Work</code></dt><dd>a numeric vector</dd> <dt><code>Benefit</code></dt><dd>a numeric vector</dd> </dl> 

Format

The dataset is copied from the <span class="pkg">ltm</span> package.

Source

The dataset is copied from the <span class = "pkg">ltm</span> package.

data.gpcm: Dataset with Ordered Indicators

Description

Usage

Arguments

Format

Source

Examples