دسترسی نامحدود
برای کاربرانی که ثبت نام کرده اند
برای ارتباط با ما می توانید از طریق شماره موبایل زیر از طریق تماس و پیامک با ما در ارتباط باشید
در صورت عدم پاسخ گویی از طریق پیامک با پشتیبان در ارتباط باشید
برای کاربرانی که ثبت نام کرده اند
درصورت عدم همخوانی توضیحات با کتاب
از ساعت 7 صبح تا 10 شب
ویرایش: 1st ed. 2021 نویسندگان: Luca Mari, Mark Wilson, Andrew Maul سری: ISBN (شابک) : 3030655571, 9783030655570 ناشر: Springer سال نشر: 2021 تعداد صفحات: 319 زبان: English فرمت فایل : PDF (درصورت درخواست کاربر به PDF، EPUB یا AZW3 تبدیل می شود) حجم فایل: 8 مگابایت
در صورت تبدیل فایل کتاب Measurement across the Sciences: Developing a Shared Concept System for Measurement (Springer Series in Measurement Science and Technology) به فرمت های PDF، EPUB، AZW3، MOBI و یا DJVU می توانید به پشتیبان اطلاع دهید تا فایل مورد نظر را تبدیل نمایند.
توجه داشته باشید کتاب اندازهگیری در علوم: توسعه یک سیستم مفهومی مشترک برای اندازهگیری (سری اسپرینگر در علم و فناوری اندازهگیری) نسخه زبان اصلی می باشد و کتاب ترجمه شده به فارسی نمی باشد. وبسایت اینترنشنال لایبرری ارائه دهنده کتاب های زبان اصلی می باشد و هیچ گونه کتاب ترجمه شده یا نوشته شده به فارسی را ارائه نمی دهد.
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 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 6.3.4 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 7.4.2.2 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