Levels

levels

Normative data are often used to estimate the relative position of a raw test score in the population. This package allows for deriving regression-based normative data. It includes functions that enable the fitting of regression models for the mean and residual (or variance) structures, test the model assumptions, derive the normative data in the form of normative tables or automatic scoring sheets, and estimate confidence intervals for the norms. This package accompanies the book Van der Elst, W. (2024). Regression-based normative data for psychological assessment. A hands-on approach using R. Springer Nature.

Wim der Elst

NormData

Derivation of Regression-Based Normative Data

Wim Van der Elst

Levels function

<dl> <dt>x</dt>
<dd>A variable for which the different levels should be printed.</dd></dl>

Arguments

Author

Explore data — Levels

<dl>

 <dt>x</dt>
<dd>A variable for which the different levels should be printed.</dd>

</dl>

Levels: Explore data

Description

Usage

Value

Arguments

Author

Details

References

Examples