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Measuring physiological influence in dyads: A guide to designing, implementing, and analyzing dyadic physiological studies
Abstract
Scholars across domains in psychology, physiology, and neuroscience have long been interested in the study of shared physiological experiences between people. Recent technological and analytic advances allow researchers to examine new questions about how shared physiological experiences come about. Yet, comprehensive guides that address the theoretical, methodological, and analytic components of studying these processes are lacking. The goal of this paper is to provide such a guide. We begin by addressing basic theoretical issues in the study of shared physiological states by presenting five guiding theoretical principles for making psychological inferences from physiological influence—the extent to which one dyad member’s physiology predicts the other dyad member’s physiology at a future time point. Second, keeping theoretical and conceptual concerns at the forefront, we outline considerations and recommendations for designing, implementing, and analyzing dyadic psychophysiological studies. In so doing, we discuss the different types of physiological measures one could use to address different theoretical questions. Third, we provide three illustrative examples in which we estimate physiological influence, using the stability and influence model. We conclude by providing detail about power analyses for the model and by comparing the strengths and limitations of this model to pre-existing models.
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Within a day, there are emergent influences that shape acute stress processes - phenomena such as stress contagion that are not mediated through conscious perception.
“For example, we know that within a day, there are emergent influences that shape acute stress processes – phenomena such as stress contagion that are not mediated through conscious perception (Palumbo et al., 2017; Thorson et al., 2017).”
From More than a feeling: A unified view of stress measurement for population science (2018) · cites this paper as Thorson et al., 2017
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More than a feeling: A unified view of stress measurement for population science
Epel, E. S., Crosswell, A. D., Mayer, S. E., Prather, A. A., Slavich, G. M., Puterman, E., & Mendes, W. B. (2018) · Frontiers in Neuroendocrinology · doi:10.1016/j.yfrne.2018.03.001 · Cited by 1,077
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Metadata
- Authors
- Thorson, K. R., West, T. V., & mendes, W. B.
- Affiliations
- New York University (US)
- University of California, San Francisco (US)
- Corresponding author
- Thorson, Katherine R.
- Venue
- PsyArXiv (OSF Preprints)
- Publisher
- Center for Open Science
- Published
- 2017-09-11
- OpenAlex
- W4246291847
- Cited by
- 7
- References
- 20
- Citations by year
- 2024: 1 · 2022: 1 · 2021: 2 · 2020: 2 · 2019: 1
- Type
- posted content
- Language
- en
- Open access
- closed
- Locations
- PsyArXiv (OSF Preprints) (acceptedVersion)
- PsyArXiv (OSF Preprints) (submittedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Attachment and Relationship Dynamics
- Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
- Social Sciences › Psychology › Social Psychology › Action Observation and Synchronization
- Keywords
- power analysis, physiological measures
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