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Determining synchrony between behavioral time series: An application of surrogate data generation for establishing falsifiable null-hypotheses
Open accessAbstract
Synchrony between interacting systems is an important area of nonlinear dynamics in physical systems. Recently psychological researchers from multiple areas of psychology have become interested in nonverbal synchrony (i.e., coordinated motion between two individuals engaged in dyadic information exchange such as communication or dance) as a predictor and outcome of psychological processes. An important step in studying nonverbal synchrony is systematically and validly differentiating synchronous systems from nonsynchronous systems. However, many current methods of testing and quantifying nonverbal synchrony will show some level of observed synchrony even when research participants have not interacted with one another. In this article we demonstrate the use of surrogate data generation methodology as a means of testing new null-hypotheses for synchrony between bivariate time series such as those derived from modern motion tracking methods. Hypotheses generated by surrogate data generation methods are more nuanced and meaningful than hypotheses from standard null-hypothesis testing. We review four surrogate data generation methods for testing for significant nonverbal synchrony within a windowed cross-correlation (WCC) framework. We also interpret the null-hypotheses generated by these surrogate data generation methods with respect to nonverbal synchrony as a specific use of surrogate data generation, which can then be generalized for hypothesis testing of other psychological time series. (PsycINFO Database Record (c) 2018 APA, all rights reserved).
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Self-citationPhysiological synchrony is associated with cooperative success in real-life interactions
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Metadata
- Authors
- Moulder, R. G., Boker, S. M., Ramseyer, F., & Tschacher, W.
- Affiliations
- University of Bern (CH)
- Venue
- Psychological Methods
- Published
- 2018-12
- Volume
- 23
- Issue
- 4
- Pages
- 757-773
- ISSN
- 1082-989X (ISSN-L)
- 1939-1463
- PMC
- PMC6163103
- OpenAlex
- W2794599219
- Cited by
- 108
- References
- 48
- Citations by year
- 2026: 7 · 2025: 12 · 2024: 14 · 2023: 17 · 2022: 16 · 2021: 15 · 2020: 15 · 2019: 8 · 2018: 4
- FWCI
- 14.25
- Type
- journal article
- Language
- en
- Open access
- hybrid
- doi.org
- Locations
- Psychological Methods (publishedVersion, other-oa)
- PubMed (publishedVersion)
- Europe PMC (PubMed Central) (acceptedVersion)
- PubMed Central (acceptedVersion)
- Bern Open Repository and Information System (University of Bern) (submittedVersion)
- FreiDok plus (Universitätsbibliothek Freiburg) (submittedVersion)
- Funders
- National Institute on Drug Abuse (NIH DA-018673)
- Topics
- Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
- Physical Sciences › Physics and Astronomy › Statistical and Nonlinear Physics › Chaos control and synchronization
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Keywords
- nonverbal synchrony, null hypothesis testing, bivariate time series, motion tracking, interpersonal coordination, hypothesis testing, nonlinear dynamics
- MeSH terms
- Computer Simulation, Cooperative Behavior, Data Interpretation, Statistical, Humans, Models, Psychological, Nonverbal Communication, Psychology, Time Factors, Models, Statistical
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