boot_fit

Computes Bootstrapping P Values for Outfit and Infit Statistics

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

boot_fit function

<dl><dt>object</dt>
<dd>an object of class "Rm" (output of RM or PCM) or class "pcmodel"</dd>
<dt>B</dt>
<dd>Number of replications.</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

Computes Bootstrapping P Values for Outfit and Infit Statistics — boot_fit

<dl>

<dt>object</dt>
<dd>an object of class "Rm" (output of RM or PCM) or class "pcmodel"</dd>


<dt>B</dt>
<dd>Number of replications.</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>

boot_fit: Computes Bootstrapping P Values for Outfit and Infit Statistics

Description

Usage

Value

Arguments