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010   $a3-319-60595-X
024 7 $a10.1007/978-3-319-60595-1
035   $a(CKB)4340000000061947
035   $a(MiAaPQ)EBC4930066
035   $a(DE-He213)978-3-319-60595-1
035   $a(EXLCZ)994340000000061947
100   $a20170728d2017      u|         0
101 0 $aeng
135   $aurcnu||||||||
181   $2rdacontent
182   $2rdamedia
183   $2rdacarrier
200 10$aComplexity in Society: From Indicators Construction to their Synthesis /$fedited by Filomena Maggino
205   $a1st ed. 2017.
210  1$aCham :$cSpringer International Publishing :$cImprint: Springer,$d2017.
215   $a1 online resource (332 pages) $cillustrations, tables
225 1 $aSocial Indicators Research Series,$x1387-6570 ;$v70
311   $a3-319-60593-3 
320   $aIncludes bibliographical references at the end of each chapters.
327   $aPart I. Conceptual issues -- Chapter 1. Epistemology of Complexity (Alberto Peruzzi) -- Chapter 2. Building Knowledge. Between Measure and Meaning: A Phenomenological Approach (Rocco Sacconaghi) -- Part 2. Methodological Issues -- Chapter 3. Socio-Economic Statistics for A Complex World: Perspectives and Challenges in the Big Data Era (Marco Fattore) -- Chapter 4. Developing Indicators and Managing the Complexity (Filomena Maggino) -- Chapter 5 -- Dealing with Syntheses in a System of Indicators (Filomena Maggino) -- Chapter 6. Scalability of Composite Indices: Complexity Complications (Kenneth C. Land, Vicki L. Lamb, Xiaolu Zang) -- Part 3. Technical Issues -- Chapter 7. Synthesis of Indicators: The Composite Indicators Approach (Matteo Mazziotta & Adriano Pareto) -- Chapter 8. Synthesis of Indicators: The Non-Aggregative Approach (Marco Fattore) -- Chapter 9. The Role of Extended IRT Models for Composite Indicators Construction (Michela Gnaldi, Simone Del Sarto & Filomena Maggino) -- Part 4. Particular Experiences -- Chapter 10. Synthesis of Indicators Through Weighting: The Experiences of Quality of Life Measures (Chang-Ming Hsieh) -- Chapter 11. The Role of Normalization in Building Composite Cndicators. Rationale and Consequences of Different Strategies (Ludovico Carrino) -- Chapter 12. Steps Towards a Synthetic Measure Derived from a Partially Ordered Set (Giovanna Boccuzzo & Giulio Caperna) -- Chapter 13. Joint analysis of Structural Models and Performance: Merging Clustering and Composite Indicators in the Analysis of Europe 2020 strategy (Tommaso Rondinella & Elena Grimaccia).
330   $aThis volume discusses the many recent significant developments, and identifies important problems, in the field of social indicators. In the last ten years the methodology of multivariate analysis and synthetic indicators construction significantly developed. In particular, starting from the classical theory of composite indicators many interesting approaches have been developed to overcome the weaknesses of composites. This volume focuses on these recent developments in synthesizing indicators, and more generally, in quantifying complex phenomena.
410  0$aSocial Indicators Research Series,$x1387-6570 ;$v70
606   $aSocial sciences
606   $aStatistics 
606   $aQuality of life
606   $aMethodology of the Social Sciences$3https://scigraph.springernature.com/ontologies/product-market-codes/X17000
606   $aStatistics for Social Sciences, Humanities, Law$3https://scigraph.springernature.com/ontologies/product-market-codes/S17040
606   $aQuality of Life Research$3https://scigraph.springernature.com/ontologies/product-market-codes/X23000
615  0$aSocial sciences.
615  0$aStatistics .
615  0$aQuality of life.
615 14$aMethodology of the Social Sciences.
615 24$aStatistics for Social Sciences, Humanities, Law.
615 24$aQuality of Life Research.
676   $a301.0723
702   $aMaggino$b Filomena$4edt$4http://id.loc.gov/vocabulary/relators/edt
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910252697903321
996   $aComplexity in Society: From Indicators Construction to their Synthesis$92531091
997   $aUNINA