Placeholder text

Go to cart

Regression-Based Normative Data for Psychological Assessment

By Elst, Wim van der

Regression-Based Normative Data for Psychological Assessment

By Elst, Wim van der

0 - Default Title
Description
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 over the traditional normative approach, e.g., it allows for deriving more fine-grained norms and typically requires a substantially smaller sample size to derive accurate norms. This book focuses on regression-based methods to derive normative data. The target audience are psychologists and other researchers in the behavioral sciences who are interested in deriving normative data for psychological tests (e.g., cognitive tests, questionnaires, rating scales, etc.). The book provides the essential theoretical background that is needed to understand the methodology, with a strong emphasis on the practical/real-life application of the methodology. To this end, the book is also accompanied by an open-source software package (the R library NormData) that is used to exemplify how normative data can be derived in several case studies.
Product details
Binding:
Paperback
Number of Pages:
496
Release Date:
2025-06-04
Publication Date:
2025-06-04
Publisher:
Springer
Languages:
Original: English
ISBN10:
3031509536
ISBN13:
9783031509537
GPSR Manufacturer Reference:
[email protected]
Weight:
744 g
Height:
155 cm
Width:
235 cm
Thickness:
27 cm
Buy on Amazon
Currently sold out