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Updated: Jul 3, 2025

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Published on: August 26, 2011
A theory-informed emotion regulation variability index: Bray-Curtis dissimilarity
Tak Tsun Lo1, Caspar J Van Lissa2, Maaike Verhagen1
1Department of Developmental Psychopathology, Behavioural Science Institute, Radboud University.
Emotion regulation variability, how people change strategies over time, is crucial for well-being. A new index, Bray-Curtis dissimilarity, better measures this variability than traditional methods, linking higher variability to lower negative affect.
Area of Science:
- Psychology
- Ecological Psychology
- Quantitative Psychology
Background:
- Emotion regulation (ER) variability, the dynamic change in ER strategy use, is vital for adapting to contextual demands and maintaining well-being.
- Existing methods, like standard deviation (SD)-based approaches, inadequately capture the nuances of ER variability, specifically strategy switching and endorsement changes.
- This limitation hinders accurate measurement and understanding of ER variability's role in psychological health.
Purpose of the Study:
- To critically evaluate the validity of traditional SD-based indices for measuring ER variability.
- To introduce and validate Bray-Curtis dissimilarity, an ecological measure, as a superior index for quantifying ER variability.
- To examine the association between ER variability, measured by Bray-Curtis dissimilarity, and negative affect.
Main Methods:
- Simulation studies were conducted to compare the sensitivity of Bray-Curtis dissimilarity against SD-based approaches in detecting ER variability.
- Three experience sampling method (ESM) datasets were analyzed, with N=70, 95, and 200 participants, and 5,040, 6,329, and 14,098 moment-level observations, respectively.
- Bray-Curtis dissimilarity and SD-based indices were used to quantify within-person ER variability, and their relationship with negative affect was assessed at both moment and person levels.
Main Results:
- SD-based approaches demonstrated insufficient validity in capturing strategy switching and endorsement change, key components of ER variability.
- Bray-Curtis dissimilarity proved more sensitive than SD-based methods in detecting ER variability across simulation studies.
- Higher Bray-Curtis dissimilarity consistently predicted lower negative affect at both moment and person levels, outperforming SD-based indices.
Conclusions:
- Bray-Curtis dissimilarity offers a more valid and sensitive measure of moment-level within-person ER variability compared to traditional SD-based indices.
- This ecological measure enhances our ability to study the adaptive functions of ER variability in daily life.
- The findings suggest potential applications of Bray-Curtis dissimilarity for analyzing variability in other dynamic, multivariate psychological processes.
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