Book contents
- Interpersonal Emotion Dynamics in Close Relationships
- Studies in Emotion and Social Interaction
- Interpersonal Emotion Dynamics in Close Relationships
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Foreword
- Introduction
- Chapter 1 Conceptual approaches to studying interpersonal emotion dynamics
- Chapter 2 A general framework for capturing interpersonal emotion dynamics
- Chapter 3 Simplifying the complexity of interpersonal emotion dynamics with regression graphics
- Chapter 4 Methodological approaches to studying interpersonal emotion dynamics
- Chapter 5 Biochemical contributions to interpersonal emotion dynamics
- Chapter 6 Physiological correlates associated with interpersonal emotion dynamics
- Chapter 7 Interpersonal emotion dynamics in families
- Chapter 8 Interpersonal emotion dynamics within young adult romantic and peer relationships
- Chapter 9 Interpersonal emotion dynamics within intimate relationships
- Chapter 10 Next steps toward understanding interpersonal emotion dynamics
- Author Index
- Subject Index
- Studies in Emotion and Social Interaction
- References
Chapter 10 - Next steps toward understanding interpersonal emotion dynamics
Published online by Cambridge University Press: 14 September 2018
Book contents
- Interpersonal Emotion Dynamics in Close Relationships
- Studies in Emotion and Social Interaction
- Interpersonal Emotion Dynamics in Close Relationships
- Copyright page
- Contents
- Figures
- Tables
- Contributors
- Foreword
- Introduction
- Chapter 1 Conceptual approaches to studying interpersonal emotion dynamics
- Chapter 2 A general framework for capturing interpersonal emotion dynamics
- Chapter 3 Simplifying the complexity of interpersonal emotion dynamics with regression graphics
- Chapter 4 Methodological approaches to studying interpersonal emotion dynamics
- Chapter 5 Biochemical contributions to interpersonal emotion dynamics
- Chapter 6 Physiological correlates associated with interpersonal emotion dynamics
- Chapter 7 Interpersonal emotion dynamics in families
- Chapter 8 Interpersonal emotion dynamics within young adult romantic and peer relationships
- Chapter 9 Interpersonal emotion dynamics within intimate relationships
- Chapter 10 Next steps toward understanding interpersonal emotion dynamics
- Author Index
- Subject Index
- Studies in Emotion and Social Interaction
- References
Summary
This chapter provides a summary about of what is and is not known about interpersonal emotion dynamics. It draws heavily from the other chapters in the book, focusing on integrating themes and gaps in the literature that emerge when considering the other chapters. Open theoretical questions are highlighted, anomalies and contradictions in the empirical results are noted, and methodological limitations and potential solutions are pointed out.
- Type
- Chapter
- Information
- Interpersonal Emotion Dynamics in Close Relationships , pp. 179 - 188Publisher: Cambridge University PressPrint publication year: 2018
References
Babiloni, F., & Astolfi, L. (2014). Social neuroscience and hyperscanning techniques: past, present and future. Neuroscience & Biobehavioral Reviews, 44, 76–93. https://doi.org/10.1016/j.neubiorev.2012.07.006Google Scholar
Beauchaine, T. (2001). Vagal tone, development, and Gray's motivational theory: toward an integrated model of autonomic nervous system functioning in psychopathology. Development and Psychopathology, 13, 183–214.Google Scholar
Boiger, M., & Mesquita, B. (2012). The construction of emotion in interactions, relationships, and cultures. Emotion Review, 4(3), 221–9. https://doi.org/10.1177/1754073912439765CrossRefGoogle Scholar
Butler, E. A., Gross, J. J., & Barnard, K. (2014). Testing the effects of suppression and reappraisal on emotional concordance using a multivariate multilevel model. Biological Psychology, 98, 6–18.Google Scholar
Butler, E. A., & Randall, A. K. (2013). Emotional coregulation in close relationships. Emotion Review, 5, 202–10.Google Scholar
Butner, J. E., Berg, C. A., Baucom, B. R., & Wiebe, D. J. (2014). Modeling Coordination in multiple simultaneous latent change scores. Multivariate Behavioral Research, 49(6), 554–70. https://doi.org/10.1080/00273171.2014.934321Google Scholar
Chow, S., Ferrer, E., & Nesselroade, J. R. (2007). An unscented Kalman filter approach to the estimation of nonlinear dynamical systems models. Multivariate Behavioral Research, 42(2), 283–321.CrossRefGoogle Scholar
Chow, S., Hamaker, E. L., Fujita, F., & Boker, S. M. (2009). Representing time-varying cyclic dynamics using multiple-subject state-space models. British Journal of Mathematical and Statistical Psychology, 62, 683–716.Google Scholar
Coviello, L., Sohn, Y., Kramer, A. D. I., et al. (2014). Detecting emotional contagion in massive social networks. PLoS ONE, 9(3). https://doi.org/10.1371/journal.pone.0090315Google Scholar
Ferrer, E., & Steele, J. S. (2012). Dynamic systems analysis of affective processes in dyadic interactions using differential equations. In Hancock, G. R. & Harring, J. R. (Eds.), Advances in Longitudinal Methods in the Social and Behavioral Sciences (pp. 111–34). Charlotte, NC: Information Age Publishing.Google Scholar
Ferrer, E., & Steele, J. S. (2014). Differential equations for evaluating theoretical models of dyadic interactions. In Molenaar, P. C. M., Newell, K. M., & Lerner, R. M. (Eds.), Handbook of Developmental Systems Theory and Methodology (pp. 345–68). New York, NY: Guilford Press.Google Scholar
Hamaker, E. L., & Grasman, R. P. (2012). Regime switching state-space models applied to psychological processes: handling missing data and making inferences. Psychometrika, 77(2), 400–22. https://doi.org/10.1007/S11336-012-9254-8Google Scholar
Hubbard, J. A., Parker, E. H., Ramsden, S. R., et al. (2004). The relations among observational, physiological, and self-report measures of children's anger. Social Development, 13(1), 14–39.CrossRefGoogle Scholar
Ijzerman, H., Heine, E. C., Nagel, S. K., & Pronk, T. M. (2017). Modernizing relationship therapy through social thermoregulation theory: evidence, hypotheses, and explorations. Frontiers in Psychology. https://doi.org/10.3389/fpsyg.2017.00635Google Scholar
Lodewyckx, T., Tuerlinckx, F., Kuppens, P., Allen, N. B., & Sheeber, L. (2010). A hierarchical state space approach to affective dynamics. Journal of Mathematical Psychology, 55, 68–83.Google Scholar
Madhyastha, T. M., Hamaker, E. L., & Gottman, J. M. (2011). Investigating spousal influence using moment-to-moment affect data from marital conflict. Journal of Family Psychology, 25(2), 292–300.Google Scholar
Mesquita, B., & Boiger, M. (2014). Emotions in context: a sociodynamic model of emotions. Emotion Review, 6(4), 298–302. https://doi.org/10.1177/1754073914534480Google Scholar
Moscovitch, D. A., Suvak, M. K., & Hofmann, S. G. (2010). Emotional response patterns during social threat in individuals with generalized anxiety disorder and non-anxious controls. Journal of Anxiety Disorders, 24, 785–91. https://doi.org/10.1016/j.janxdis.2010.05.013Google Scholar
Reeck, C., Ames, D. R., & Ochsner, K. N. (2016). The social regulation of emotion: an integrative, cross-disciplinary model. Trends in Cognitive Sciences, 20(1), 47–63. https://doi.org/10.1016/j.tics.2015.09.003Google Scholar
Sbarra, D. A., & Hazan, C. (2008). Co-regulation, dysregulation, self-regulation: an integrative analysis and empirical agenda for understanding adult attachment, separation, loss, and recovery. Personality and Social Psychology Review, 12(2), 141–67.Google Scholar
Timmons, A. C., Margolin, G., & Saxbe, D. (2015). Physiological linkage in couples and its implications for individual and interpersonal functioning: a literature review. Journal of Family Psychology. https://doi.org/10.1037/fam0000115CrossRefGoogle ScholarPubMed
Yang, M., & Chow, S. (2010). Using state-space model with regime switching to represent the dynamics of facial electromyography (EMG) data. Psychometrika, 75(4), 744–71. https://doi.org/10.1007/S11336-010-9176-2CrossRefGoogle Scholar
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