The Paradox of Stability and Change in Relationships
What Does Chaos Theory Offer for the Study of Romantic Relationships
Bibliographic Data
| ID | 2934010 |
|---|---|
| Authors | Dan Weigel (University of Nevada, Reno, corresponding author), Colleen I Murray (University of Nevada, Reno), Colleen Murray (University of Nevada, Reno) |
| Year | 2000 |
| Volume | 17 |
| Issue | 3 |
| Pages | 425-449 |
| Publication date | 2000-06-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | Journal of Social and Personal Relationships (JOURNAL) |
| Journal identifiers | ISSN: 0265-4075 • E-ISSN: 1460-3608 |
| Publisher | SAGE Publications Inc (PUBLISHER) |
| DOI | 10.1177/0265407500173006 |
| OpenAlex | W2149831089 |
| Language | EN |
| Citations received | 18 |
| References cited | 38 |
This article explores the potential relevance of chaos theory in understanding development and change in romantic relationships. Chaos theory implies that relationship development may not be linear, that relationships may quickly and spontaneously shift to different states and relational patterns, and that predicting their future state may be problematic. Furthermore, chaos theory generates several methodological and statistical issues for relationship studies. The application of chaos theory may increase the understanding of relation- ships as it stimulates a renewed emphasis on relationships as process, a moving from concern with predictability to emerging patterns, seeing variability as normal, and the recognition of the need for multiple perspectives and methods in studying relational development
Chaos theory · Cognitive psychology · Data mining · Development theory · Epistemology · Political science · Predictability · Psychoanalysis · Relation (database · Relevance (law · Romance · Attachment and Relationship Dynamics · Cognitive and psychological constructs research · Computer Science · Customer Service Quality and Loyalty · Mathematics · Philosophy · Psychology · Social Psychology · Artificial Intelligence
Chaos
Chaos
Chaos
The psychological architecture of the stable couple relationship
Consistency and inconsistency among romantic partners over time
Fluctuation in on‐again/off‐again romantic relationships
The role of support seekers and seeking in supportive communication
Romantic Passion as Output from a Self-Regulating, Intimacy-Seeking System
Love, culture, rationality, and learning in repeated games
Voluntary and involuntary singlehood
Clarifying relationship instability
The effect of incidental experiences of regulatory fit on trust
Adult daughter aging mother relationship over the life cycle
Baked bunnies, couple selfies, and video-call gardening
The Paradox of Stability and Change in Relationships
A qualitative analysis of on-again/off-again romantic relationships
Perceived relational stability in on-again/off-again relationships
Can we be friends with Mitsuku? A longitudinal study on the process of relationship formation between humans and a social chatbot
Chaos, self-organization, and psychology
Turning points and commitment in post‐divorce relationships
The appropriation of the parental role through communication during the transition to parenthood
Toward the analysis of close relationships
Disciplines at Parallel Play
The Paradox of Stability and Change in Relationships
The Endorsement of Communication Conflict Rules as a Function of Engagement, Marriage and Marital Ideology
Butterflies and Bifurcations
Daily Transmission of Tensions between Marital Dyads and Parent-Child Dyads
The Relationship between Communication Skill and Marital Satisfaction
Commitment Processes in Accounts of the Development of Premarital Relationships
Healthy and Unhealthy Friendship and Hostility between Ex-Spouses
The Perils of Love, or Why Wives Adapt to Husbands during the Transition to Parenthood
Modeling Family Dynamics with Event History Techniques
Predicting Premarital Relationship Stability
Chaos Theory and Symbolic Interaction Theory
Turning Points in Developing Romantic Relationships
| Unique citing works | 18 |
|---|---|
| Citations per year | 0,69 |
| Citation span | 2000 - 2025 (26) |
| Citation velocity | recent |
| Highly cited | No |
| Citation types | Neutral: 18 |