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Table of Contents
Introduction; Complexity and Its Implications in Dealing with Indicators; The Volume; Part I: Conceptual Issues; Chapter 1: Complexity: Between Rhetoric and Science; Premise; Two Razors; Back to Origins; An Analogy with Category Theory; Bypassing the Dual Language; Some Doubts; The Complexity of Science and the Range of Compositionality; From Cluster to Tree; Emergence; Local/Global Micro/Macro; Multidimensionality + Unpredictability = ?; Against Vagueness and Rhetoric; If the Lack of Epistemology Does Not Pay, Ready-Made Epistemology Does Not Pay Either; The Future; References
Chapter 2: Building Knowledge. Between Measure and Meaning: A Phenomenological ApproachA Methodological Premise; Synthesis and Concreteness; The Need for a Synthesis; Synthesis and Representation; Abstraction vs. Abstractedness; Measurement of Subjective Values; Value as a Subjective Relation; Measure: Between Abstraction and Abstractedness; Measure and Meaning: From Abstraction to Concreteness; The Anthropological-Semantic Synthesis; The Original Synthesis; References; Part II: Methodological Issues
Chapter 3: Socio-economic Statistics for a Complex World: Perspectives and Challenges in the Big Data EraIntroduction; Some Challenges for Socio-economic Statistics in Complex Socio-economic Systems; Big Data: More Than Large Databases; Methodological Issues in Big Data Analysis; Big Data, Poor Quality?; Technological Issues; Data Visualization; Conclusions; References; Chapter 4: Developing Indicators and Managing the Complexity; Developing Indicators; A Normative Exercise; Between Objectivity and Subjectivity; The Hierarchical Design; The Components of the Hierarchical Design
Conceptual ModelLatent Variables and their Dimensions; Basic Indicators; How Many Basic Indicators?; Other Conceptual Issues: The Domains; Defining the Model of Measurement: Reflective and Formative Approaches; Models with Reflective Indicators; Models with Formative Indicators; From Basic Indicators to Systems of Indicators; Characteristics of a System of Indicators; Principles Defining a System; Functions of a System of Indicators; Architecture: Structure of Observation and Analysis; Characteristics of Indicators Within a System; (i) Perspectives of Observation; (ii) Communication Context
(Iii) Interpretation(iv) Criteria; (v) Quality; Managing Indicators: Instruction for Use; A Challenge: Complexity; A Need: Making Relative; A Risk: Reductionism; References; Chapter 5: Dealing with Syntheses in a System of Indicators; Synthesizing Cases Through Numerical Values; Synthesizing Indicators Through Numerical Values: Dealing with Different Perspectives; The Conceptual Perspective; The Model-of-Measurement Perspective; The Technical Perspective; The Aggregative-Compensative Approach; Criticisms of Aggregative-Compensative Approach; Unidimensionality from Multidimensionality
Chapter 2: Building Knowledge. Between Measure and Meaning: A Phenomenological ApproachA Methodological Premise; Synthesis and Concreteness; The Need for a Synthesis; Synthesis and Representation; Abstraction vs. Abstractedness; Measurement of Subjective Values; Value as a Subjective Relation; Measure: Between Abstraction and Abstractedness; Measure and Meaning: From Abstraction to Concreteness; The Anthropological-Semantic Synthesis; The Original Synthesis; References; Part II: Methodological Issues
Chapter 3: Socio-economic Statistics for a Complex World: Perspectives and Challenges in the Big Data EraIntroduction; Some Challenges for Socio-economic Statistics in Complex Socio-economic Systems; Big Data: More Than Large Databases; Methodological Issues in Big Data Analysis; Big Data, Poor Quality?; Technological Issues; Data Visualization; Conclusions; References; Chapter 4: Developing Indicators and Managing the Complexity; Developing Indicators; A Normative Exercise; Between Objectivity and Subjectivity; The Hierarchical Design; The Components of the Hierarchical Design
Conceptual ModelLatent Variables and their Dimensions; Basic Indicators; How Many Basic Indicators?; Other Conceptual Issues: The Domains; Defining the Model of Measurement: Reflective and Formative Approaches; Models with Reflective Indicators; Models with Formative Indicators; From Basic Indicators to Systems of Indicators; Characteristics of a System of Indicators; Principles Defining a System; Functions of a System of Indicators; Architecture: Structure of Observation and Analysis; Characteristics of Indicators Within a System; (i) Perspectives of Observation; (ii) Communication Context
(Iii) Interpretation(iv) Criteria; (v) Quality; Managing Indicators: Instruction for Use; A Challenge: Complexity; A Need: Making Relative; A Risk: Reductionism; References; Chapter 5: Dealing with Syntheses in a System of Indicators; Synthesizing Cases Through Numerical Values; Synthesizing Indicators Through Numerical Values: Dealing with Different Perspectives; The Conceptual Perspective; The Model-of-Measurement Perspective; The Technical Perspective; The Aggregative-Compensative Approach; Criticisms of Aggregative-Compensative Approach; Unidimensionality from Multidimensionality