llradat3

Artificial data set of 3 items, 2 time points and 2 groups for LLRA. It
is example 6 from Hatzinger and Rusch (2009).

datasets

Fits Rasch models (RM), linear logistic test models (LLTM), rating scale model (RSM), linear rating scale models (LRSM), partial credit models (PCM), and linear partial credit models (LPCM).  Missing values are allowed in the data matrix.  Additional features are the ML estimation of the person parameters, Andersen's LR-test, item-specific Wald test, Martin-Loef-Test, nonparametric Monte-Carlo Tests, itemfit and personfit statistics including infit and outfit measures, ICC and other plots, automated stepwise item elimination, simulation module for various binary data matrices.

Patrick Mair

Extended Rasch Modeling

Reinhold Hatzinger

Thomas Rusch

Rudolf Debelak

llradat3 function

A data frame with 60 observations of 6 variables.<dl class="dl-horizontal">
 <dt><code>V1</code></dt><dd>Answers to item 1 at time point 1</dd>
 <dt><code>V2</code></dt><dd>Answers to item 2 at time point 1</dd>
 <dt><code>V3</code></dt><dd>Answers to item 3 at time point 1</dd>
 <dt><code>V4</code></dt><dd>Answers to item 1 at time point 2</dd>
 <dt><code>V5</code></dt><dd>Answers to item 2 at time point 2</dd>
 <dt><code>V6</code></dt><dd>Answers to item 3 at time point 2</dd>
 </dl>

Format

An Artificial LLRA Data Set — llradat3

A data frame with 60 observations of 6 variables.<dl class='dl-horizontal'>
 <dt><code>V1</code></dt><dd>Answers to item 1 at time point 1</dd>
 <dt><code>V2</code></dt><dd>Answers to item 2 at time point 1</dd>
 <dt><code>V3</code></dt><dd>Answers to item 3 at time point 1</dd>
 <dt><code>V4</code></dt><dd>Answers to item 1 at time point 2</dd>
 <dt><code>V5</code></dt><dd>Answers to item 2 at time point 2</dd>
 <dt><code>V6</code></dt><dd>Answers to item 3 at time point 2</dd>
 </dl>

llradat3: An Artificial LLRA Data Set

Description

Usage

Arguments

Format

Details

References

Examples