Xiao Yang, the lead author of this study, developed a new person-centered, network-based approach to examine how physiological processes and emotional experiences influence each other during a socially stressful situation.
Yang, X., Ram, N., Lougheed, J. P., Molenaar, P. C. M., & Hollenstein, T. (2019). Adolescents’ emotion system dynamics: Network-based analysis of physiological and emotional experience. Developmental Psychology, 55, 1982-1993. doi: 10.1037/dev0000690. Preprint available here.
My new theoretical review on parent-adolescent emotion dynamics is now online in the Journal of Research on Adolescence. I build on the work of many others (including Emily Butler, Tom Hollenstein, Isabel Granic, and Marc Lewis) and forward a dynamic systems model for how development through the parent-adolescent relationship proceeds at multiple time scales.
Our new work on emotion socialization dynamics will appear in the upcoming special issue of Developmental Psychology on emotion socialization. We used grid-sequence analysis, an approach that merges state space grids from developmental science with sequencing methods from biology, to examine complex patterns of mother-daughter emotions as they unfolded during different interpersonal contexts. We found that some patterns related to who and how positive emotions were up-regulated were associated with adolescent daughters’ internalizing symptoms, but only in some types of interpersonal contexts.
You can find Mimi Brinberg’s highly accessible tutorial for conducting grid-sequence analysis in R here.
I enjoyed contributing my chapter on Conflict Dynamics and the Transformation of the Parent-Adolescent Relationship. I used dynamic systems ideas to explore the idea that conflicts are an important context for adolescent development. Whether they are beneficial or detrimental likely depends on the specific dynamics of the conflict and how they shape, and are shaped by, psychosocial development at a broader scale.
How easy or hard is it for people to be able to recover from a challenging interaction with a family member? I presented on this topic at APS 2019. I discussed some of the benefits and challenges of studying this topic in the laboratory setting.
I presented on some new analyses using grid-sequence analysis at SRCD 2019. We examined sequences of mother-daughter emotions during different types of emotional discussions, and found some patterns that might be related to daughters’ internalizing symptoms.
See our presentation slides here. A tutorial on conducting the grid-sequence analysis using R can be found on the Penn State Quant Dev website here.
I will be presenting on Emotional Spillover across Social Interactions: The Emotional Rollercoaster Task Captures the Ups and Downs of Interpersonal Emotions across Contexts in the symposium entitled How Emotion Regulation Spills Over across Time, People, and Social Contexts.
Our article examining the timing of children’s recurring anger expressions will appear in the January 2019 issue of Developmental Psychology. We introduce multilevel survival analysis and its usefulness for developmental scientists who work with video-recorded observations of behaviors. In our example analyses, we examined how children’s second-by-second use of behavioral strategies was associated with the timing of their anger expressions during a waiting task.
Lougheed, J. P., Benson, L., Cole, P. M., & Ram, N. (2019). Multilevel survival analysis: Studying the timing of children’s recurring behaviors. Developmental Psychology, 55(1), 53–65. https://doi.org/10.1037/dev0000619
Come see me at SRCD 2019! I’ll be at a couple different sessions:
My symposium on Dynamic Approaches to Parent-Child Interactions from Infancy to Adolescencewhere I will be presenting An Examination of Emotion Socialization Dynamics in Mother-Daughter Dyads using Grid-Sequence Analysis
Xiao Yang’s presentation on Adolescents’ Emotion System Dynamics: Network-based Analysis of Physiological and Emotional Experience in the symposium Dynamics of Physiological Processes in Interpersonal Contexts: Correlates and Outcomes