getRMSE

an <code><a href="/link/?package=maat&version=1.1.0" output_maat'="" data-mini-rdoc="maat::"></a>'>output_maat</code> object from <code><a rd-options="" href="/link/maat?package=maat&version=1.1.0" data-mini-rdoc="maat::maat">maat</a></code>.

<code><a rd-options="" href="/link/getRMSE?package=maat&version=1.1.0" data-mini-rdoc="maat::getRMSE">getRMSE</a></code> is a function for calculating root mean square error (RMSE)
for the simulation results.

Provides an extension of the shadow-test approach to computerized adaptive
testing (CAT) implemented in the 'TestDesign' package for the assessment framework
involving multiple tests administered periodically throughout the year. This framework
is referred to as the Multiple Administrations Adaptive Testing (MAAT) and supports
multiple item pools vertically scaled and multiple phases (stages) of CAT within each test.
Between phases and tests, transitioning from one item pool (and associated constraints)
to another is allowed as deemed necessary to enhance the quality of measurement.

Seung W. Choi

maat

Multiple Administrations Adaptive Testing

Sangdon Lim

Luping Niu

Sooyong Lee

M. Christina Schneider

Jay Lee

Garron Gianopulos

getRMSE function

an <code><a href='<a href='output_maat'></a>'>output_maat</a></code> object from <code><a rd-options='' href='maat'>maat</a></code>.

<code><a rd-options='' href='getRMSE'>getRMSE</a></code> is a function for calculating root mean square error (RMSE)
for the simulation results.

getRMSE: Calculate RMSE from an examinee list object

Description

Usage

Arguments

Value