9780262572309-0262572303-The Mathematics of Marriage: Dynamic Nonlinear Models

The Mathematics of Marriage: Dynamic Nonlinear Models

ISBN-13: 9780262572309
ISBN-10: 0262572303
Edition: 20473rd
Author: James D. Murray, John M. Gottman, Catherine C. Swanson
Publication date: 2005
Publisher: MIT Press
Format: Paperback 422 pages
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ISBN-13: 9780262572309
ISBN-10: 0262572303
Edition: 20473rd
Author: James D. Murray, John M. Gottman, Catherine C. Swanson
Publication date: 2005
Publisher: MIT Press
Format: Paperback 422 pages

Summary

The Mathematics of Marriage: Dynamic Nonlinear Models (ISBN-13: 9780262572309 and ISBN-10: 0262572303), written by authors James D. Murray, John M. Gottman, Catherine C. Swanson, was published by MIT Press in 2005. With an overall rating of 4.1 stars, it's a notable title among other Psychology & Counseling (Behavioral Sciences, General, Psychology, Social Sciences, Marriage & Family, Sociology) books. You can easily purchase or rent The Mathematics of Marriage: Dynamic Nonlinear Models (Paperback) from BooksRun, along with many other new and used Psychology & Counseling books and textbooks. And, if you're looking to sell your copy, our current buyback offer is $0.88.

Description

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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