Overview
- Provides a solid introduction in regression-based normative methods without being overly technical
- Comes with a comprehensive open-source software package to help efficiently derive regression-based normative data
- Focuses strongly on the practical application of the methodology using various real-life case studies
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About this book
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.
Keywords
Table of contents (8 chapters)
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Front Matter
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Back Matter
Authors and Affiliations
About the author
Wim Van der Elst (PhD) has a background in psychology and statistics, and is currently employed as a statistician in the pharmaceutical industry. He has published extensively on regression-based normative data, psychometrics, psychological assessment, and the statistical evaluation of biomarkers. He is also the lead programmer of several R libraries.
Bibliographic Information
Book Title: Regression-Based Normative Data for Psychological Assessment
Book Subtitle: A Hands-On Approach Using R
Authors: Wim Van der Elst
DOI: https://doi.org/10.1007/978-3-031-50951-3
Publisher: Springer Cham
eBook Packages: Behavioral Science and Psychology, Behavioral Science and Psychology (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024
Hardcover ISBN: 978-3-031-50950-6Published: 04 June 2024
Softcover ISBN: 978-3-031-50953-7Due: 05 July 2024
eBook ISBN: 978-3-031-50951-3Published: 03 June 2024
Edition Number: 1
Number of Pages: XI, 482
Number of Illustrations: 89 b/w illustrations, 75 illustrations in colour
Topics: Psychology, general, Psychological Methods/Evaluation, Psychometrics, Statistics for Social Sciences, Humanities, Law