Measurement across the sciences : developing a shared concept system for measurement / Luca Mari, Mark Wilson and Andrew Maul.

This book proposes a conceptual framework for understanding measurement across a broad range of scientific fields and areas of application, such as physics, engineering, education, and psychology. The authors, who themselves span these disciplines, argue that the justification of the public trust at...

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Bibliographic Details
Main Authors: Mari, Luca (Author), Wilson, Mark, 1954 August 23- (Author), Maul, Andrew (Author)
Format: eBook
Language:English
Published: Cham, Switzerland : Springer, [2021]
Edition:1st ed.
Series:Springer series in measurement science and technology.
Subjects:
Online Access:Click for online access
Table of Contents:
  • Intro
  • Foreword
  • Foreword
  • Educational Assessment and Educational Measurement
  • Opening the Black Box in Educational Measurement
  • Conclusion
  • Preface
  • For whom did we write this book
  • The structure of the chapters in this book
  • Acknowledgments
  • Contents
  • List of Figures
  • List of Tables
  • Chapter 1: Introduction
  • 1.1 Why we wrote this book
  • 1.1.1 Is measurement necessarily physical?
  • 1.2 Some familiar and not-so-familiar contexts for measurement
  • 1.2.1 A brief introduction to temperature and its measurement
  • 1.2.2 A brief introduction to reading comprehension ability and its measurement
  • 1.2.3 An initial view of psychosocial measurement from a physical science perspective
  • 1.3 The path we will travel in this book
  • References
  • Chapter 2: Fundamental concepts in measurement
  • 2.1 Introduction
  • 2.2 The abstract structure of measurement
  • 2.2.1 Measurement as an empirical process
  • 2.2.2 Measurement as a designed process
  • 2.2.3 Measurement as a process whose input is a property of an object
  • 2.2.4 Measurement as a property evaluation
  • 2.3 Between the empirical world and the information world
  • References
  • Chapter 3: Technical and cultural contexts for measurement systems
  • 3.1 Introduction
  • 3.2 The quality of measurement and its results
  • 3.2.1 A sketch of the framework
  • 3.2.2 The Error Approach (or True Value Approach)
  • 3.2.3 The Uncertainty Approach
  • 3.2.4 Basic components of measurement uncertainty
  • 3.2.5 Measurement uncertainty and measurement results
  • 3.3 The operational context
  • 3.3.1 The metrological system
  • 3.3.2 The measurement environment
  • 3.4 The conceptual context
  • 3.4.1 Measurement and property identification
  • 3.4.2 Measurement and measure
  • References
  • Chapter 4: Philosophical perspectives on measurement
  • 4.1 Introduction
  • 4.1.1 Measurement between objectivity and subjectivity
  • 4.2 Characterizing measurement
  • 4.2.1 Naïve realist perspectives on measurement
  • 4.2.2 Operationalist perspectives on measurement
  • 4.2.3 Representationalist perspectives on measurement
  • 4.3 The concept of validity in psychosocial measurement
  • 4.3.1 Early perspectives on validity
  • 4.3.2 Construct validity
  • 4.3.3 An argument-based approach to validity
  • 4.3.4 Causal perspectives on validity
  • 4.4 An interpretive framework
  • 4.4.1 Exploring perspectives on measurement
  • 4.4.2 Towards a different perspective?
  • 4.5 A preliminary synthesis: model-dependent realism
  • References
  • Chapter 5: What is measured?
  • 5.1 Introduction
  • 5.1.1 The meaning of the Basic Evaluation Equation
  • 5.1.2 A pragmatic introduction to the problem
  • 5.1.3 Anticipating the main outcomes
  • 5.2 Some clarifications about properties
  • 5.2.1 Properties of objects as entities of the world
  • 5.2.2 Properties and predicates
  • 5.2.3 Properties and relations