THE MATHEMATICS OF MARRIAGE. Dynamic Nonlinear Models

Gottman, John N.; Murray, James D.'; Swanson, Catherine C.; Tyson, Rebecca; Swanson, Kristin R.

ISBN 10: 0262072262 / ISBN 13: 9780262072267

Published by Bradford Books, The MIT Press, Cambridge, Mass, 2002

About this Item

This work sets a new standard for psychological explanation with its conversation among theory, models, data, and clinical intervention. It also provides a clear and accessible introduction to the mathematics. It is compelling evidence of the power of nonlinear dynamic models for understanding complex psychological phenomena. It will also change forever the way you look at marriage. The book contains figures, tables, a bibliography, appendices, and an index. This HARDCOVER copy is clean and solid. Appears to be unread.

Seller Inventory # 022775

Bibliographic Details

• Title: THE MATHEMATICS OF MARRIAGE. Dynamic Nonlinear Models
• Publisher: Bradford Books, The MIT Press, Cambridge, Mass
• Publication Date: 2002
• Language: English
• ISBN 10: 0262072262
• ISBN 13: 9780262072267
• Binding: Cloth
• Edition: First Edition First Printing
• Printing: 1st Printing
• Condition: Fine
• Dust Jacket Condition: Fine

About this title

Synopsis

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.

About the Author

Rebecca Tyson is Research Scientist at the University of Arizona.