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Variation in emotion dynamics over time is associated with future relationship outcomes.
Simran K Johal1, Emilio Ferrer1
1Department of Psychology, University of California, Davis, Davis, CA, United States.
Frontiers in Human Neuroscience
|April 12, 2024
Summary
Relationship emotion dynamics change over time and this variation predicts relationship quality and dissolution. Understanding these dynamic changes is key to predicting relationship outcomes.
Area of Science:
- Psychology
- Relationship Science
- Social Dynamics
Background:
- Romantic relationships are characterized by emotion dynamics, where one partner's emotions influence their own and their partner's subsequent emotions.
- Previous research links the level of emotion dynamics to relationship quality, but has not explored changes in these dynamics over time.
Purpose of the Study:
- To investigate if the variation in emotion dynamics over time is associated with relationship outcomes.
- To determine if changes in emotion dynamics can predict future relationship quality and dissolution.
Main Methods:
- Employed time-varying vector autoregressive models to estimate emotion dynamics in 148 couples.
- Analyzed the average and standard deviation of these dynamics over time.
- Related dynamic variations to relationship quality and dissolution assessed 1-2 years later.
Main Results:
- Significant temporal variation was found in specific autoregressive and cross-lagged parameters of emotion dynamics.
- This variation in emotion dynamics was significantly associated with relationship quality.
- The magnitude of change in emotion dynamics predicted relationship dissolution over 1-2 years.
Conclusions:
- Emotion dynamics within romantic relationships are not static and change over time.
- Accounting for the temporal variation in emotion dynamics is crucial for accurately predicting relationship outcomes.
- Changes in emotion dynamics offer valuable insights into the future trajectory of relationships.
Keywords:
dyadic interactionsdynamic modelingemotion dynamicsgeneralized additive modelingnon-stationarityromantic relationshipsvector autoregressive modelMore Related Videos
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