item_restscore

The observed Gamma coefficient between the score of a single item and the total score of the remaining items
is compared with the corresponding expected Gamma coefficient under the Rasch model.

Tools to assess model fit and identify misfitting items for Rasch models (RM) and partial credit models (PCM). Included are item fit statistics, item characteristic curves, item-restscore association, conditional likelihood ratio tests, assessment of measurement error, estimates of the reliability and test targeting as described in Christensen et al. (Eds.) (2013, ISBN:978-1-84821-222-0).

Marianne Mueller

iarm

Item Analysis in Rasch Models

Pedro Henrique Ribeiro Santiago

item_restscore function

<dl><dt>object</dt>
<dd>An object of class "Rm", a fitted Rasch model or partial
credit model using the functions RM or PCM in package eRm, or an object of class "pcmodel",
 a fitted partial credit model using the function pcmodel in package psychotools.</dd>
<dt>p.adj</dt>
<dd>Correction method for multiple testing. The methods are "BH","holm", "hochberg", "hommel", "bonferroni", "BY", "none". See <code><a href="/link/p.adjust?package=iarm&version=0.4.3" data-mini-rdoc="iarm::p.adjust">p.adjust</a></code>.</dd></dl>

Arguments

Author

Item Restscore Association — item_restscore

<dl>

<dt>object</dt>
<dd>An object of class "Rm", a fitted Rasch model or partial
credit model using the functions RM or PCM in package eRm, or an object of class "pcmodel",
 a fitted partial credit model using the function pcmodel in package psychotools.</dd>


<dt>p.adj</dt>
<dd>Correction method for multiple testing. The methods are "BH","holm", "hochberg", "hommel", "bonferroni", "BY", "none". See <code><a href='https://rdrr.io/r/stats/p.adjust.html'>p.adjust</a></code>.</dd>

</dl>

item_restscore: Item Restscore Association

Description

Usage

Value

Arguments

Author

References

Examples