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Weitersagen:


Herausgeber: 
  • Emmanuel Lazega
  • Tom A.B. Snijders
  • Multilevel Network Analysis for the Social Sciences: Theory, Methods and Applications 
     

    (Buch)
    Dieser Artikel gilt, aufgrund seiner Grösse, beim Versand als 3 Artikel!


    Übersicht

    Auf mobile öffnen
     
    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Dezember 2015  
    Genre:  Soziologie 
     
    B / biotechnology / Methodology of the Social Sciences / Social research & statistics / Social Sciences / Sociology / Sociology, general / Sozialforschung und -statistik
    ISBN:  9783319245188 
    EAN-Code: 
    9783319245188 
    Verlag:  Springer EN 
    Einband:  Gebunden  
    Sprache:  English  
    Serie:  #12 - Methodos Series  
    Dimensionen:  H 235 mm / B 155 mm / D  
    Gewicht:  6978 gr 
    Seiten:  375 
    Illustration:  VIII, 375 p. 65 illus., 41 illus. in color., schwarz-weiss Illustrationen, farbige Illustrationen 
    Zus. Info:  EUDR exemption - product or manufacturing materials placed on the market prior to 31.12.2025. 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    This volume provides new insights into the functioning of organizational, managerial and market societies. Multilevel analysis and social network analysis are described and the authors show how they can be combined in developing the theory, methods and empirical applications of the social sciences. This book maps out the development of multilevel reasoning and shows how it can explain behavior, through two different ways of contextualizing it. First, by identifying levels of influence on behavior and different aggregations of actors and behavior, and complex interactions between context and behavior. Second, by identifying different levels as truly different systems of agency: such levels of agency can be examined separately and jointly since the link between them is affiliation of members of one level to collective actors at the superior level. It is by combining these approaches that this work offers new insights. New case studies and datasets that explore new avenues of theorizing and new applications of methodology are presented. This book will be useful as a reference work for all social scientists, economists and historians who use network analyses and multilevel statistical analyses. Philosophers interested in the philosophy of science or epistemology will also find this book valuable.
      



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