LEADER 08219nam 2200529 450 001 996466844703316 005 20220326002643.0 010 $a3-030-65558-X 035 $a(CKB)5590000000442516 035 $a(MiAaPQ)EBC6531671 035 $a(Au-PeEL)EBL6531671 035 $a(OCoLC)1245590960 035 $a(PPN)25472258X 035 $a(EXLCZ)995590000000442516 100 $a20211016d2021 uy 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aMeasurement across the sciences $edeveloping a shared concept system for measurement /$fLuca Mari, Mark Wilson, Andrew Maul 210 1$aCham, Switzerland :$cSpringer,$d[2021] 210 4$d©2021 215 $a1 online resource (xxxv, 287 pages) $cillustrations 225 1 $aSpringer series in measurement science and technology 311 $a3-030-65557-1 320 $aIncludes bibliographical references and indexes. 327 $aIntro -- 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. 327 $a4.1.1 Measurement between objectivity and subjectivity -- 4.2 Characterizing measurement -- 4.2.1 Nai?ve 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 -- 5.2.4 From properties of formal logic to properties of measurement science -- 5.2.5 Context dependence of properties -- 5.2.6 Indistinguishability of properties of objects -- 5.3 A philosophical interlude -- 5.3.1 Do individual properties exist? -- 5.3.2 Individual properties as universals: an explanation -- 5.3.3 Do we really need properties? -- References -- Chapter 6: Values, scales, and the existence of properties -- 6.1 Introduction -- 6.2 Towards values of properties -- 6.2.1 Values of properties: what they are not -- 6.2.2 Values of properties cannot be discarded in contemporary measurement -- 6.3 Constructing values of quantities -- 6.3.1 Operating on (additive) quantities of objects -- 6.3.2 On reference objects and reference quantities -- 6.3.3 Alternative reference quantities and their relations, i.e., scale transformations. 327 $a6.3.4 Generalizing the definition of reference quantities -- 6.3.5 Values of quantities: what they are -- 6.3.6 Beyond additivity: the example of temperature -- 6.3.7 Beyond additivity: the example of reading comprehension ability -- 6.4 The epistemic role of Basic Evaluation Equations -- 6.5 Generalizing the framework to nonquantitative properties -- 6.5.1 The scope of the quantitative/nonquantitative distinction -- 6.5.2 From values of quantities to values of properties -- 6.5.3 Property Evaluation Types -- 6.6 About the existence of general properties -- 6.6.1 Properties and variables -- 6.6.2 Justifications for the existence of properties -- References -- Chapter 7: Modeling measurement and its quality -- 7.1 Introduction -- 7.2 Direct and indirect measurement -- 7.2.1 Recovering a meaningful distinction between direct and indirect measurement -- 7.2.2 Refining the distinction between direct and indirect measurement: first step -- 7.2.3 Refining the distinction between direct and indirect measurement: second step -- 7.3 A structural model of direct measurement -- 7.3.1 The design and construction of a measuring instrument -- 7.3.2 The stages of direct measurement -- 7.3.2.1 Transduction -- 7.3.2.2 Matching -- 7.3.2.3 Local scale application -- 7.3.2.4 Public scale construction -- 7.3.2.5 Calibration -- 7.3.3 An alternative implementation -- 7.3.4 The Hexagon Framework -- 7.3.5 An example application of the model in the human sciences -- 7.3.5.1 Transduction -- 7.3.5.2 Matching -- 7.3.5.3 Local scale construction and application -- 7.3.5.4 Interlude: reality check -- 7.3.5.5 Public scale construction and application, and calibration -- 7.4 Measurement quality according to the model -- 7.4.1 Measurement that involves feedback -- 7.4.2 Uncertainties in the stages of direct measurement -- 7.4.2.1 Regarding the definition of the measurand. 327 $a7.4.2.2 Regarding the definition and dissemination of the public scale and calibration -- 7.4.2.3 Regarding transduction and matching -- 7.4.3 Quality of measurement as objectivity and intersubjectivity -- 7.4.4 Can measurement be "bad"? -- References -- Chapter 8: Conclusion -- 8.1 Introduction -- 8.1.1 Syntactic, semantic, and pragmatic information -- 8.1.2 A semiotic perspective on measurement -- 8.2 The path we have walked so far -- 8.3 Can there be one meaning of "measurement" across the sciences? -- 8.3.1 Different subject matters, different processes ... -- 8.3.2 ... with some structural commonalities ... -- 8.3.3 ... and a common emphasis on trustworthiness ... -- 8.3.4 ... and a focus on producing explicitly justifiable information -- 8.3.5 Consequences for the theory and the practice of measurement -- References -- Appendix A: A basic concept system of measurement -- Introduction -- Alphabetical list of the entries -- References -- Index of concepts and authors' names -- Index. 410 0$aSpringer series in measurement science and technology. 606 $aScience$xMethodology 606 $aMetrology 615 0$aScience$xMethodology. 615 0$aMetrology. 676 $a501 700 $aMari$b Luca$067783 702 $aWilson$b Mark$f1954 August 23- 702 $aMaul$b Andrew 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a996466844703316 996 $aMeasurement across the sciences$92541394 997 $aUNISA LEADER 03308nam 22006255 450 001 9910544852403321 005 20250626164018.0 010 $a3-030-96648-8 024 7 $a10.1007/978-3-030-96648-5 035 $a(CKB)5590000000892038 035 $a(MiAaPQ)EBC6886993 035 $a(Au-PeEL)EBL6886993 035 $a(PPN)260826626 035 $a(DE-He213)978-3-030-96648-5 035 $a(EXLCZ)995590000000892038 100 $a20220210d2022 u| 0 101 0 $aeng 135 $aurcnu|||||||| 181 $ctxt$2rdacontent 182 $cc$2rdamedia 183 $acr$2rdacarrier 200 10$aEvaluation of Novel Approaches to Software Engineering $e16th International Conference, ENASE 2021, Virtual Event, April 26-27, 2021, Revised Selected Papers /$fedited by Raian Ali, Hermann Kaindl, Leszek A. Maciaszek 205 $a1st ed. 2022. 210 1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2022. 215 $a1 online resource (364 pages) 225 1 $aCommunications in Computer and Information Science,$x1865-0937 ;$v1556 311 08$a3-030-96647-X 320 $aIncludes bibliographical references and index. 327 $aTheory and Practice of Systems and Applications Development -- Challenges and Novel Approaches to Systems and Software Engineering (SSE) -- Systems and Software Quality. . 330 $aThe present book includes extended and revised versions of a set of selected papers from the 16th International Conference on Evaluation of Novel Approaches to Software Engineering (ENASE 2021), held as an online event from April 26 to 27, 2021. The 15 revised full papers presented were carefully reviewed and selected from 96 submissions. The papers included in this book contribute to the understanding of relevant trends of current research on novel approaches to software engineering for the development and maintenance of systems and applications, specically with relation to: model-driven software engineering, requirements engineering, empirical software engineering, service-oriented software engineering, business process management and engineering, knowledge management and engineering, reverse software engineering, software process improvement, software change and configuration management, software metrics, software patterns and refactoring, application integration,software architecture, cloud computing, and formal methods. 410 0$aCommunications in Computer and Information Science,$x1865-0937 ;$v1556 606 $aSoftware engineering 606 $aDatabase management 606 $aComputer programming 606 $aSoftware Engineering 606 $aDatabase Management System 606 $aProgramming Techniques 615 0$aSoftware engineering. 615 0$aDatabase management. 615 0$aComputer programming. 615 14$aSoftware Engineering. 615 24$aDatabase Management System. 615 24$aProgramming Techniques. 676 $a005.1 676 $a005 702 $aAli$b Raian 702 $aKaindl$b Hermann 702 $aMaciaszek$b Leszek 801 0$bMiAaPQ 801 1$bMiAaPQ 801 2$bMiAaPQ 906 $aBOOK 912 $a9910544852403321 996 $aEvaluation of novel approaches to software engineering$91890274 997 $aUNINA