score_groups

Creates a grouping variable which divides the sample in two groups (high and low scorers)
of roughly equal size, without taking into account persons with extreme scores.

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

score_groups function

<dl><dt>dat.items</dt>
<dd>A data frame with the responses to the items.</dd>
<dt>label</dt>
<dd>If TRUE the levels of the group factor are named according to the split used,
if FALSE (default) the group factor has levels 1 and 2.</dd></dl>

Arguments

Generate two Score Groups — score_groups

<dl>

<dt>dat.items</dt>
<dd>A data frame with the responses to the items.</dd>


<dt>label</dt>
<dd>If TRUE the levels of the group factor are named according to the split used,
if FALSE (default) the group factor has levels 1 and 2.</dd>

</dl>

score_groups: Generate two Score Groups

Description

Usage

Value

Arguments

Details