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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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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
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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