mydata

<p>A dataset that can be used as example in package compositeReliabilityInNestedDesigns.</p>

datasets

The reliability of assessment tools is a crucial aspect of monitoring student performance in various educational settings. It ensures that the assessment outcomes accurately reflect a student's true level of performance. However, when assessments are combined, determining composite reliability can be challenging, especially for naturalistic and unbalanced datasets in nested design as is often the case for Workplace-Based Assessments. This package is designed to estimate composite reliability in nested designs using multivariate generalizability theory and enhance the analysis of assessment data. The package allows for the inclusion of weight per assessment type and produces extensive G- and D-study results with graphical interpretations, and options to find the set of weights that maximizes the composite reliability or minimizes the standard error of measurement (SEM).

Joyce Moonen - van Loon

compositeReliabilityInNestedDesigns

Optimizing the Composite Reliability in Multivariate Nested
Designs

mydata function


<div class="section" id="mydata">
<h3><code>mydata</code></h3><p></p><p>
</p><p>A data frame with 7,240 rows and 60 columns:</p><dl>
<dt>ID</dt>
<dd><p>ID of the student</p></dd><p></p><p><dt>Type</dt>
<dd><p>The type of assessment</p></dd></p><p><dt>Score</dt>
<dd><p>The obtained score by this student on this occasion, using the type of assessment</p></dd></p><p>...</p><p></p></dl><p></p><p></p></div>


Format

mydata — mydata


<div class='section' id='mydata'>
<h3><code>mydata</code></h3>


<p>A data frame with 7,240 rows and 60 columns:</p><dl>
<dt>ID</dt>
<dd><p>ID of the student</p></dd>

<dt>Type</dt>
<dd><p>The type of assessment</p></dd>

<dt>Score</dt>
<dd><p>The obtained score by this student on this occasion, using the type of assessment</p></dd>

...

</dl>

</div>


mydata: mydata

Description

Usage

Arguments

Format

`mydata`