The Synchrony-Prosociality Link Cannot Be Explained Away as Expectancy Effect : Response to Atwood et al.

Abstract
Moving in time to others, as is often observed in dance, music, sports and much of children’s play cross-culturally, is thought to make people feel and act more prosocially towards each other. In a recent paper, Atwood et al. (2022) argued that the inferential validity of this link found between synchronous behaviour and prosociality might be mainly due to “expectancy effects generated by a combination of (1) experimenter expectancy, leading to experimenter bias; and (2) participant expectancy (i.e., placebo effects)”. Here, we counter these arguments with (1) examples of studies devoid of experimenter expectancy effects that nevertheless demonstrate a positive link between synchrony and prosociality, and (2) insights from the developmental literature that address participant expectancy by showing how expectations formed through lived experiences of synchronous interactions do not necessarily threaten inferential validity. In conclusion, there is already sufficient good-quality evidence showing the positive effects of synchronous behaviours on prosociality beyond what can be explained by experimenter or participant expectation effects.
Main Authors
Format
Articles Journal article
Published
2023
Series
Subjects
Publication in research information system
Publisher
MIT Press
The permanent address of the publication
https://urn.fi/URN:NBN:fi:jyu-202310065554Käytä tätä linkitykseen.
Review status
Non-peer reviewed
ISSN
2470-2986
DOI
https://doi.org/10.1162/opmi_a_00103
Language
English
Published in
Open Mind
Citation
  • Tunçgenç, B., Bamford, J. S., Fawcett, C., & Cohen, E. (2023). The Synchrony-Prosociality Link Cannot Be Explained Away as Expectancy Effect : Response to Atwood et al.. Open Mind, 7, 711-714. https://doi.org/10.1162/opmi_a_00103
License
CC BY 4.0Open Access
Funder(s)
Research Council of Finland
Funding program(s)
Centre of Excellence, AoF
Huippuyksikkörahoitus, SA
Research Council of Finland
Copyright© 2023 Massachusetts Institute of Technology

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