ids_kn_data

The data are simulated data for demonstration purposes,
akin to Test 7 (“naming categories”) of the intelligence test IDS-2 (Grob &amp; Hagmann-von Arx, 2018).
It consists of the binary scores on 34 items (KN_1,...,KN_34). The raw test score is the sum of the 34 item scores.
The data are provided as supplementary material to Heister et al. (2024).

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_kn_data function

A dataframe with 36 columns:<dl>
<dt><code>KN_1</code></dt>
<dd>binary score on item 1</dd><dt><code>KN_2</code></dt>
<dd>binary score on item 2</dd>...
<dt><code>KN_34</code></dt>
<dd>binary score on item 34</dd><dt><code>rawscore</code></dt>
<dd>raw test score as the unweighted sum of the scores on item 1 to item 34</dd><dt><code>age_years</code></dt>
<dd>age in year</dd>
</dl>

Format

The ids_kn_data are simlulated data for demonstration purposes — ids_kn_data

A dataframe with 36 columns:<dl>
<dt><code>KN_1</code></dt>
<dd>binary score on item 1</dd>

<dt><code>KN_2</code></dt>
<dd>binary score on item 2</dd>

...
<dt><code>KN_34</code></dt>
<dd>binary score on item 34</dd>

<dt><code>rawscore</code></dt>
<dd>raw test score as the unweighted sum of the scores on item 1 to item 34</dd>

<dt><code>age_years</code></dt>
<dd>age in year</dd>


</dl>

ids_kn_data: The ids_kn_data are simlulated data for demonstration purposes

Description

Usage

Arguments

Format

References