plot.DIF_stats_mst

Conditional Maximum Likelihood Calibration and data management of multistage tests.
Supports polytomous items and incomplete designs with linear as well as multistage tests.
Extended Nominal Response and Interaction models, DIF and profile analysis.
See Robert J. Zwitser and Gunter Maris (2015)<doi:10.1007/s11336-013-9369-6>.

Timo Bechger

dexterMST

CML and Bayesian Calibration of Multistage Tests

Jesse Koops

Ivailo Partchev

Gunter Maris

Robert Zwitser

plot.DIF_stats_mst function

<dl><dt>x</dt>
<dd>object produced by DIF_mst</dd>
<dt>items</dt>
<dd>character vector of item id's for a subset of the plot. Useful if you have many items. 
If NULL all items are plotted.</dd>
<dt>itemsX</dt>
<dd>character vector of item id's for the X axis</dd>
<dt>itemsY</dt>
<dd>character vector of item id's for the Y axis</dd>
<dt>...</dt>
<dd>further arguments to plot</dd></dl>

Arguments

plot method for DIF_mst — plot.DIF_stats_mst

<dl>

<dt>x</dt>
<dd>object produced by DIF_mst</dd>


<dt>items</dt>
<dd>character vector of item id's for a subset of the plot. Useful if you have many items. 
If NULL all items are plotted.</dd>


<dt>itemsX</dt>
<dd>character vector of item id's for the X axis</dd>


<dt>itemsY</dt>
<dd>character vector of item id's for the Y axis</dd>


<dt>...</dt>
<dd>further arguments to plot</dd>

</dl>

plot method for DIF_mst

plot.DIF_stats_mst: plot method for DIF_mst

Description

Usage

Arguments