Psychometrics, Test Theory, and the Latent Factors Model

1. Auflage 2025
ISBN: 978-1-119-31217-8
Verlag: Wiley

Buch, Englisch, 538 Seiten, Gewicht: 666 g

A combination of psychometric theory, history, philosophy and practice, with recent advances in analytical methods, metrology, and design.

Psychometrics, Test Theory, and the Latent Factors Models began as a strong manuscript by Petr Blahuš. Before his death he entrusted it to three co-authors who completed the book with in-chapter explanations. accessible mathematical appendices and computational guides. It was also expanded to include important advances since 2010 in psychometric methods, metrology, and the science of domain-specific design. Comprehensive in scope, the text contains computatational guides for the use of Stata, M-plus, and SPSS in Classical Test Theory, Item-Response Theory, and Factor Analysis. The authors highlight the practicality of software integration in order to successfully produce psychometrically sound research. Written by an international and decades-spanning team of experienced psychometricians, the text sets the goal of a future psychometrics that could earn its place in international metrology.

The book is filled with suggestions, tips, and practical guidance about best practices and efficient strategies for modeling and model selection. In addition, the book includes important cautions and warnings about misuse and misinterpretations of common, but limited, analytical techniques. The book is historically informed, philosophically grounded, mathematically justified, and methodologically current. This important text: - Applies intuitive reasoning and common examples to aid in the understanding of advanced technical concepts.
- Includes the conceptual, statistical, and philosophical background of psychometrics.
- Features recent advances advances and opposing views in psychometric theory.
- Contains concrete examples from current research, including cognitive tests and MRI data.
- Opens he vista for a future of testing with greatly increased use of well-constructed, learner-centered performance scales using computer-adaptive testing with feedback over multiple attempts.

Psychometrics, Test Theory, and the Latent Factors Model is intended for forward-looking students and teachers in the behavioral, educational, health, and social sciences.

Autoren/Hrsg.

Blahus, Petr

Brown, Bruce L

Bunderson, C Victor

Olsen, Joseph A

Fachgebiete

• Mathematik | Informatik Mathematik Stochastik Mathematische Statistik
• Interdisziplinäres Wissenschaften Wissenschaften: Forschung und Information Datenanalyse, Datenverarbeitung
• Sozialwissenschaften Soziologie | Soziale Arbeit Soziologie Allgemein Empirische Sozialforschung, Statistik
• Sozialwissenschaften Psychologie Psychologie / Allgemeines & Theorie Psychologische Forschungsmethoden

Inhaltsverzeichnis

Preface

1. The Psychometric Quest

2. Scores and Their Distributions

3. Validity, Explanation, and Constructs

4. Measurement Error and Classical Test Theory

5. Content Validity, Item Response Theory, and Latent Variables

6. The Latent Common Factor Model

7. Analysis of Multiple Factors

8. Metrology: Scientific, Applied, and Legal

Computational Guide 1

Computational Guide 2

Computational Guide 3

Appendix 1

Appendix 2

Appendix 3

Appendix 4

Appendix 5

Epilogue

Index

Über Autor(innen)

Petr Blahuš, PhD, was DrSc, Professor, Division of Methodology, in the Faculty of Physical Education and Sport, Charles University, Prague, Czech Republic. A distinguished international scholar, he published in Czech, English, and Russian.

Bruce L. Brown, PhD, is Professor of Psychology at Brigham Young University and authored Multivariate Analysis for the Biobehavioral and Social Sciences (Brown, Hendrix, Hedges, and Smith, 2012, Wiley).

C. Victor Bunderson PhD, is emeritus professor of Instructional Psychology and Technology at Brigham Young University. He served on the Assessment Council of Western Governors University from 1998 through 2023. His experience includes VP Research Management at Educational Testing Service, and cofounder of several technology companies that advanced and applied concepts and methods explained in this book.

Joseph A. Olsen, PhD, is Associate Research Professor, Assistant Dean, and Director of Research Support in the College of Family, Home, and Social Sciences at Brigham Young University. Dr. Olsen advises on methods and software in graduate research projects across many departments.