cotapp_data

The data are perturbed variants of the scores on
the raw speed of block 1 (<code>rt</code>) and
the raw number of errors of block 7 (<code>error</code>)
of the normative sample of the cotapp test (Rommelse et al., 2018).
More information on the cotapp test: <a href="https://www.boom.nl/productgroep/101-45_COTAPP">https://www.boom.nl/productgroep/101-45_COTAPP</a>

datasets

A toolbox for calculating continuous norms for psychological tests, where the norms can be age-dependent. The norms are based Generalized Additive Models for Location, Scale, and Shape (GAMLSS) for the test scores in the normative sample. The package includes functions for model selection, reliability estimation, and calculating norms, including confidence intervals. For more details, see Timmerman et al. (2021) <doi:10.1037/met0000348>.

Marieke Timmerman

normref

Continuous Norming

Klazien de Vries

Hannah Heister

Julian Urban

Lieke Voncken

cotapp_data function

A dataframe with three columns:<dl>
<dt><code>age</code></dt>
<dd>age in years</dd><dt><code>rt</code></dt>
<dd>reaction time: scores on the raw speed of block 1</dd><dt><code>error</code></dt>
<dd>number of errors of block 7</dd>
</dl>

Format

The data are perturbed variants of the scores on
the raw speed of block 1 (<code>rt</code>) and
the raw number of errors of block 7 (<code>error</code>)
of the normative sample of the cotapp test (Rommelse et al., 2018).
More information on the cotapp test: <a href='https://www.boom.nl/productgroep/101-45_COTAPP'>https://www.boom.nl/productgroep/101-45_COTAPP</a>

cotapp data — cotapp_data

A dataframe with three columns:<dl>
<dt><code>age</code></dt>
<dd>age in years</dd>

<dt><code>rt</code></dt>
<dd>reaction time: scores on the raw speed of block 1</dd>

<dt><code>error</code></dt>
<dd>number of errors of block 7</dd>


</dl>

cotapp_data: cotapp data

Description

Usage

Arguments

Format

References