items_lsa

A <code>data.frame</code> containing 209 calibrated items with different categorical and metric properties, comparable to an item pool from a large-scale
assessment.

datasets

Provides simple functions to create constraints for small test assembly problems
(e.g. van der Linden (2005, ISBN: 978-0-387-29054-6)) using sparse matrices. Currently,
'GLPK', 'lpSolve', 'Symphony', and 'Gurobi' are supported as solvers. The 'gurobi' package is not available from
any mainstream repository; see <https://www.gurobi.com/downloads/>.

Benjamin Becker

eatATA

Create Constraints for Small Test Assembly Problems

Dries Debeer

items_lsa function

A <code>data.frame</code> .<dl>
<dt>testlet</dt>
<dd>Testlet identifier (items in the same testlet share a common stimulus.</dd><dt>item</dt>
<dd>Item identifier.</dd><dt>level</dt>
<dd>Competence level.</dd><dt>format</dt>
<dd>Item format.</dd><dt>frequency</dt>
<dd>Solution frequency.</dd><dt>infit</dt>
<dd>Item infit.</dd><dt>time</dt>
<dd>Average response time in seconds.</dd><dt>anchor</dt>
<dd>Is the item an anchor item?</dd>
</dl>

Format

Simulated item pool example. — items_lsa

A <code>data.frame</code> .<dl>
<dt>testlet</dt>
<dd>Testlet identifier (items in the same testlet share a common stimulus.</dd>

<dt>item</dt>
<dd>Item identifier.</dd>

<dt>level</dt>
<dd>Competence level.</dd>

<dt>format</dt>
<dd>Item format.</dd>

<dt>frequency</dt>
<dd>Solution frequency.</dd>

<dt>infit</dt>
<dd>Item infit.</dd>

<dt>time</dt>
<dd>Average response time in seconds.</dd>

<dt>anchor</dt>
<dd>Is the item an anchor item?</dd>


</dl>

items_lsa: Simulated item pool example.

Description

Usage

Arguments

Format