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Autor(en): 
  • Gottman John M.
  • Murray James D.
  • Swanson Catherine C.
  • Tyson Rebecca
  • Swanson Kristin R.
  • The Mathematics of Marriage: Dynamic Nonlinear Models 
     

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


    Übersicht

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    Lieferstatus:   Auf Bestellung (Lieferzeit unbekannt)
    Veröffentlichung:  Januar 2005  
    Genre:  Psychologie / Pädagogik 
     
    Mathematical modelling / MATHEMATICS / Applied / MATHEMATICS / Linear & Nonlinear Programming / Nonlinear science / SOCIAL SCIENCE / Sociology / Marriage & Family / Sociology# family & relationships / Sociology# family and relationships
    ISBN:  9780262572309 
    EAN-Code: 
    9780262572309 
    Verlag:  Random House N.Y. 
    Einband:  Kartoniert  
    Sprache:  English  
    Serie:  A Bradford Book  
    Dimensionen:  H 229 mm / B 152 mm / D 19 mm 
    Gewicht:  590 gr 
    Seiten:  424 
    Zus. Info:  Trade Paperback 
    Bewertung: Titel bewerten / Meinung schreiben
    Inhalt:
    Divorce rates are at an all-time high. But without a theoretical understanding of the processes related to marital stability and dissolution, it is difficult to design and evaluate new marriage interventions. The Mathematics of Marriage provides the foundation for a scientific theory of marital relations. The book does not rely on metaphors, but develops and applies a mathematical model using difference equations. The work is the fulfillment of the goal to build a mathematical framework for the general system theory of families first suggested by Ludwig Von Bertalanffy in the 1960s.The book also presents a complete introduction to the mathematics involved in theory building and testing, and details the development of experiments and models. In one "marriage experiment," for example, the authors explored the effects of lowering or raising a couple's heart rates. Armed with their mathematical model, they were able to do real experiments to determine which processes were affected by their interventions.

    Applying ideas such as phase space, null clines, influence functions, inertia, and uninfluenced and influenced stable steady states (attractors), the authors show how other researchers can use the methods to weigh their own data with positive and negative weights. While the focus is on modeling marriage, the techniques can be applied to other types of psychological phenomena as well.

      



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