ids_rel_data

Dataframe with the vectors age and rel, with the ages evaluated, and rel the (fictional) test reliability per age.

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_rel_data function

A dataframe with two columns:<dl>
<dt><code>age</code></dt>
<dd>age in years</dd><dt><code>rel</code></dt>
<dd>reliability</dd>
</dl>

Format

These fictional reliability data are for demonstration purposes. — ids_rel_data

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

<dt><code>rel</code></dt>
<dd>reliability</dd>


</dl>

ids_rel_data: These fictional reliability data are for demonstration purposes.

Description

Usage

Arguments

Format