person_estimates

Computes Person estimates with maximum likelihood estimation (MLE) and weighted likelihood estimation (WLE) for raw scores 0 to m.

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

person_estimates 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 "raschmodel" or "pcmodel",
 a fitted Rasch model or partial credit model using the functions raschmodel or pcmodel in package psychotools.</dd>
<dt>properties</dt>
<dd>If TRUE additional properties of the estimates are given (see below).</dd>
<dt>allperson</dt>
<dd>If TRUE person estimates (MLE and WLE) for all persons in the data set are delivered.</dd></dl>

Arguments

Author

Person Estimates with MLE and WLE — person_estimates

<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 "raschmodel" or "pcmodel",
 a fitted Rasch model or partial credit model using the functions raschmodel or pcmodel in package psychotools.</dd>


<dt>properties</dt>
<dd>If TRUE additional properties of the estimates are given (see below).</dd>


<dt>allperson</dt>
<dd>If TRUE person estimates (MLE and WLE) for all persons in the data set are delivered.</dd>

</dl>

person_estimates: Person Estimates with MLE and WLE

Description

Usage

Value

Arguments

Author

References

Examples