Regression-based normative data for psychological assessment a hands-on approach using R /
Over the last 20 years, so-called regression-based normative methods have become increasingly popular. In this approach, regression models for the mean and the residual variance structure are used to derive the normative data. The regression-based normative approach has some important advantages ove...
| Main Author: | Van der Elst, Wim, |
|---|---|
| Other Authors: | SpringerLink (Online Service) |
| Format: | eBook |
| Language: | English |
| Published: |
Cham, Switzerland :
Springer,
[2024]
|
| Physical Description: |
1 online resource (xi, 482 pages) : illustrations (some color) |
| Subjects: |
Table of Contents:
- General introduction.-The R programming language
- Normative data accounting for a binary independent variable
- Assumption of the normal error regression model
- Normative data accounting for a non-binary qualitative independent variable
- Normative data accounting for a quantitative independent variable
- Normative data accounting for multiple qualitative and/or quantitative independent variables
- Quantifying uncertainty in regression-based norms.