This book details years of research involving questionnaires and observations of married couples in pursuit of the determinants of both marital happiness and divorce. It will be of interest to family and clinical psychologists and methodologists.

Stereotypically, science and emotion are diametric opposites: one is cold and unfeeling, the other soft and nebulous; one is based on proven facts while the other is based on inexplicable feelings and never the twain shall meet, until now.
John Gottman delves into the unquantifiable realm of love, armed with science and logic, and emerges with the knowledge that relationships can be not only understood, but also predicted as well. Based on research done at his Love Lab and other laboratories, Gottman has discovered that the future of love relationships can be predicted with a startling 75% success rate. These predictions can help couples to prevent disasters in their relationships, recognize the signs of a promising relationship, and perhaps more importantly, recognize the signs of a doomed one.
Principia Amoris also introduces Love Equations, a mathematical modeling of relationships that helps understand predictions. Love Equations are powerful tools that can prevent relationship distress and heal ailing relationships. Readers learn about the various research and studies that were done to discover the science behind love, and are treated to a history of the people, ideas, and events that shaped our current understanding. They also learn about:
The Four Horsemen of the Apocalypse
44 natural principles of love
5 couple types
5 recipes for good relationships
And much more
Just as science helped us to understand the physical world, it is helping us to understand the emotional world as well. Using the insights in this book, mental health professionals can meaningfully help their distressed clients, as well as better understand why a relationship is failing or succeeding. Appropriate for the curious non-mental health professional as well, Principia Amoris is a must-have on any bookshelf "

This book describes research on the emotional communication between parents and children and its effect on the children's emotional development. Inspired by the work, and dedicated to the memory of Dr. Haim Ginott, it presents the results of initial exploratory work with meta-emotion--feelings about feelings. The initial study of meta-emotion generated some theory and made it possible to propose a research agenda. Clearly replication is necessary, and experiments are needed to test the path analytic models which have been developed from the authors' correlational data. The authors hope that other researchers will find these ideas interesting and stimulating, and will inspire investigation in this exciting new area of a family's emotional life.

This book describes research on the emotional communication between parents and children and its effect on the children's emotional development. Inspired by the work, and dedicated to the memory of Dr. Haim Ginott, it presents the results of initial exploratory work with meta-emotion--feelings about feelings. The initial study of meta-emotion generated some theory and made it possible to propose a research agenda. Clearly replication is necessary, and experiments are needed to test the path analytic models which have been developed from the authors' correlational data. The authors hope that other researchers will find these ideas interesting and stimulating, and will inspire investigation in this exciting new area of a family's emotional life.

Continuity and change have been major concerns of the social and behavioral sciences -- in the study of human development and in the study of processes that unfold in various ways across time. There has been a veritable explosion of techniques for studying change over time which have fundamentally changed how we need to think of and study change. Unfortunately, many of the old precepts and beliefs are still among us.
The field of methodology for the study of change is itself ready to change. Recently, there have been many analytic and conceptual developments questioning our cherished beliefs about the study of change. As such, how are individuals to think about issues and correctly analyze change? The chapters in this volume address these issues.
Divided into two sections, this book deals with designs that analyze change in multiple subjects, and with change in single subjects and an interacting system. Papers presented in this volume are accessible to scientists who are not methodologists. The character of the papers are more like primers than basic treatises on methodology, written for other methodologists. It is time that people stop thinking in rigid ways about how to study change and be introduced to a range of many possibilities. Change, stability, order and chaos are elusive concepts. The pursuit of the laws of change must be approached in as flexible and creative a fashion as possible. This book should help to lead the way.

This book details years of research involving questionnaires and observations of married couples in pursuit of the determinants of both marital happiness and divorce. It will be of interest to family and clinical psychologists and methodologists.

Stereotypically, science and emotion are diametric opposites: one is cold and unfeeling, the other soft and nebulous; one is based on proven facts while the other is based on inexplicable feelings and never the twain shall meet, until now.
John Gottman delves into the unquantifiable realm of love, armed with science and logic, and emerges with the knowledge that relationships can be not only understood, but also predicted as well. Based on research done at his Love Lab and other laboratories, Gottman has discovered that the future of love relationships can be predicted with a startling 75% success rate. These predictions can help couples to prevent disasters in their relationships, recognize the signs of a promising relationship, and perhaps more importantly, recognize the signs of a doomed one.
Principia Amoris also introduces Love Equations, a mathematical modeling of relationships that helps understand predictions. Love Equations are powerful tools that can prevent relationship distress and heal ailing relationships. Readers learn about the various research and studies that were done to discover the science behind love, and are treated to a history of the people, ideas, and events that shaped our current understanding. They also learn about:
The Four Horsemen of the Apocalypse
44 natural principles of love
5 couple types
5 recipes for good relationships
And much more
Just as science helped us to understand the physical world, it is helping us to understand the emotional world as well. Using the insights in this book, mental health professionals can meaningfully help their distressed clients, as well as better understand why a relationship is failing or succeeding. Appropriate for the curious non-mental health professional as well, Principia Amoris is a must-have on any bookshelf "

Continuity and change have been major concerns of the social and behavioral sciences -- in the study of human development and in the study of processes that unfold in various ways across time. There has been a veritable explosion of techniques for studying change over time which have fundamentally changed how we need to think of and study change. Unfortunately, many of the old precepts and beliefs are still among us.
The field of methodology for the study of change is itself ready to change. Recently, there have been many analytic and conceptual developments questioning our cherished beliefs about the study of change. As such, how are individuals to think about issues and correctly analyze change? The chapters in this volume address these issues.
Divided into two sections, this book deals with designs that analyze change in multiple subjects, and with change in single subjects and an interacting system. Papers presented in this volume are accessible to scientists who are not methodologists. The character of the papers are more like primers than basic treatises on methodology, written for other methodologists. It is time that people stop thinking in rigid ways about how to study change and be introduced to a range of many possibilities. Change, stability, order and chaos are elusive concepts. The pursuit of the laws of change must be approached in as flexible and creative a fashion as possible. This book should help to lead the way.

Sequential Analysis aims to detect the recurring sequential patterns in a stream of coding categories describing social interaction. These techniques can be employed to study the repertoires of individuals and of dyads and groups. This book is a sequel to Bakeman and Gottman's Observing Interaction: An Introduction to Sequential Analysis (CUP, 1986). It constitutes the first integrated presentation of the major methods of sequential analysis. Gottman and Roy review historical approaches such as stationarity, order, homogeneity, pooling data across subjects, and autocorrelation in inferring cross-correlation. The integrated application of techniques is also discussed. Addressing the behavioral scientist, the authors provide many examples and illustrate everyday computations. They also offer guides to existing computer programs.

Sequential Analysis aims to detect the recurring sequential patterns in a stream of coding categories describing social interaction. These techniques can be employed to study the repertoires of individuals and of dyads and groups. This book is a sequel to Bakeman and Gottman's Observing Interaction: An Introduction to Sequential Analysis (CUP, 1986). It constitutes the first integrated presentation of the major methods of sequential analysis. Gottman and Roy review historical approaches such as stationarity, order, homogeneity, pooling data across subjects, and autocorrelation in inferring cross-correlation. The integrated application of techniques is also discussed. Addressing the behavioral scientist, the authors provide many examples and illustrate everyday computations. They also offer guides to existing computer programs.

Esther Williams and John Gottman describe a complete set of programs they have written in Fortran IV to enable even beginners to use all the techniques presented in John Gottman's Time-Series Analysis: A Comprehensive Introduction for Social Scientists. There are three packages, available on IBM card source desks from the authors, for (1) time and frequency domain model fitting, including detecting cycles, (2) forecasting and interrupted time-series analysis, and (3) multivariate time-series analysis, in both time and frequency domains. The packages have been tested for portability. Modification specific computers are noted in the guide.