items_vera

A <code>data.frame</code> containing 80 items with different categorical and metric properties.

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_vera function

A <code>data.frame</code> .<dl>
<dt>item</dt>
<dd>Item identifier.</dd><dt>exclusions</dt>
<dd>Items which can not be in the same test form.</dd><dt>time</dt>
<dd>Average response times in minutes. <code>2.5</code> equals 2 minutes and 30 seconds, for example.</dd><dt>subitems</dt>
<dd>Number of sub items.</dd><dt>MC, CMC, short_answer, open</dt>
<dd>Answer formats.</dd><dt>diff_1, diff_2, diff_3, diff_4, diff5</dt>
<dd>Difficulty categories.</dd>
</dl>

Format

Small artificial item pool example. — items_vera

A <code>data.frame</code> .<dl>
<dt>item</dt>
<dd>Item identifier.</dd>

<dt>exclusions</dt>
<dd>Items which can not be in the same test form.</dd>

<dt>time</dt>
<dd>Average response times in minutes. <code>2.5</code> equals 2 minutes and 30 seconds, for example.</dd>

<dt>subitems</dt>
<dd>Number of sub items.</dd>

<dt>MC, CMC, short_answer, open</dt>
<dd>Answer formats.</dd>

<dt>diff_1, diff_2, diff_3, diff_4, diff5</dt>
<dd>Difficulty categories.</dd>


</dl>

items_vera: Small artificial item pool example.

Description

Usage

Arguments

Format