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Features a new analysis of the error/uncertainty-related approach in physical measurement
Proposes a unified view of measurement across physical and human sciences and applications
Critiques philosophies of measurement in light of broader philosophical issues such causality, and objectivity
Part of the book series: Springer Series in Measurement Science and Technology (SSMST)
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Table of contents (8 chapters)
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Front Matter
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Back Matter
About this book
This revised and expanded second edition features a new analysis of the analogies and the differences between the error/uncertainty-related approach adopted in physical measurement and the validity-related approach adopted in psychosocial measurement. In addition, it provides a better analysis and presentation of measurement scales, in particular about their relations with quantity units, and introduces the measurand identification/definition as a part of the "Hexagon Framework" along with new examples from the physical and psychosocial sciences. Researchers and academics across a wide range of disciplines including biological, physical, social, and behavioral scientists, as well as specialists in measurement and philosophy appreciate the work’s fresh and provocative approach to the field at a time when sound measurements of complex scientific systems are increasingly essential to solving critical global problems.
Keywords
- Philosophy of Measurement
- Psychometrics
- Performance Measurement
- Performance Management
- Physical and Social Measurement
- Physical and Non-physical Measurment
- Physical and Mental Measurement
- Open Access
- Data-driven Science, Modeling and Theory Building
- Open Access
Authors and Affiliations
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School of Industrial Engineering, Università Cattaneo—LIUC, Castellanza, Italy
Luca Mari
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Berkeley School of Education, University of California, Berkeley, USA
Mark Wilson
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Gevirtz Graduate School of Education, University of California, Santa Barbara, USA
Andrew Maul
About the authors
Mark Wilson is a Distinguished Professor of Education at the University of California, Berkeley, and also at the University of Melbourne. His interests focus on measurement and applied statistics, and he has published over 100 refereed articles in those areas and over 50 invited chapters. He was elected President of the Psychometric Society and also of the US National Council for Measurement in Education (NCME). He is a Member of the US National Academy of Education, a Fellow of the American Educational Research Association, and a National Associate of the US National Research Council. He is Director of the Berkeley Evaluation and Assessment Research (BEAR) Center. His research interests focus on the development and application of sound approaches for measurement in education and the human sciences, the development of statistical models suitable for measurement contexts, the creation of instruments to measure new constructs, and scholarship on the philosophy of measurement. He received his Ph.D. degree from the University of Chicago in 1984.
Andrew Maul is a professor in the Department of Education at the University of California, Santa Barbara. His work integrates lines of inquiry traditionally associated with statistics, philosophy, psychology, and history, with the aim of improving the quality of methodological practices in the human sciences, and in particular the theory and practice of measurement. He received his Ph.D. in 2008 from the University of California, Berkeley. He regularly teaches courses on the construction and validation of measuring instruments, item response theory, and the philosophy of measurement, as well as introductory and advanced research methods and applied statistics.
Bibliographic Information
Book Title: Measurement Across the Sciences
Book Subtitle: Developing a Shared Concept System for Measurement
Authors: Luca Mari, Mark Wilson, Andrew Maul
Series Title: Springer Series in Measurement Science and Technology
DOI: https://doi.org/10.1007/978-3-031-22448-5
Publisher: Springer Cham
eBook Packages: Physics and Astronomy, Physics and Astronomy (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2023
License: CC BY
Hardcover ISBN: 978-3-031-22447-8Published: 26 February 2023
Softcover ISBN: 978-3-031-22450-8Published: 26 February 2023
eBook ISBN: 978-3-031-22448-5Published: 25 February 2023
Series ISSN: 2198-7807
Series E-ISSN: 2198-7815
Edition Number: 2
Number of Pages: XXXIX, 307
Number of Illustrations: 5 b/w illustrations, 68 illustrations in colour
Topics: Data-driven Science, Modeling and Theory Building, Philosophy of Science, Research Methodology, Measurement Science and Instrumentation, Psychometrics, Management