ids_data

The data are perturbed data, based on scores on Test 14 (“naming
antonyms”) and Test 7 (“naming categories”) of the intelligence test
IDS-2 (Grob &amp; Hagmann-von Arx, 2018a; Grob et al., 2018b).
The data are provided as supplementary material to Timmerman et al. (2021).

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

ids_data function

A dataframe with three columns:<dl>
<dt><code>age</code></dt>
<dd>age in years</dd><dt><code>y7</code></dt>
<dd>raw test score on Test 7</dd><dt><code>y14</code></dt>
<dd>raw test score on Test 14</dd>
</dl>

Format

ids data — ids_data

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

<dt><code>y7</code></dt>
<dd>raw test score on Test 7</dd>

<dt><code>y14</code></dt>
<dd>raw test score on Test 14</dd>


</dl>

ids_data: ids data

Description

Usage

Arguments

Format

References