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COVID-Dynamic: A large-scale multifaceted longitudinal study of socioemotional and behavioral change across the pandemic

Rusch, Tessa and Han, Yanting and Liang, Dehua and Hopkins, Amber and Lawrence, Caroline V. and Maoz, Uri and Paul, Lynn K. and Stanley, Damian A. (2021) COVID-Dynamic: A large-scale multifaceted longitudinal study of socioemotional and behavioral change across the pandemic. . (Unpublished) https://resolver.caltech.edu/CaltechAUTHORS:20211008-224631657

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Abstract

The COVID-19 pandemic is a catastrophe that has caused societal upheaval globally. In the US, 2 it triggered an economic shock and laid bare societal inequities. However, it also afforded a unique 3 opportunity to elucidate the dynamics of psychosocial processes during extreme and volatile 4 conditions. From April 2020 through January 2021, we conducted a within-participant longitudinal 5 study—in 16 waves—to capture the COVID-19 experiences of >1000 US residents, together with 6 curated, external data to contextualize participants' responses. Each hour-long wave combined 7 standard psychological assessments with surveys of emotion, social/political/moral attitudes, 8 COVID-19-related behaviors, and tasks assessing implicit attitudes and social decision-making. 9 Here we characterize the sample, assess data quality, and showcase examples to demonstrate 10 the promise of this dataset, which is intended to be a resource for researchers interested in a 11 multitude of psychological questions, as well as clinicians and policy makers looking to mitigate 12 the psychological effects of future calamities.


Item Type:Report or Paper (Discussion Paper)
Related URLs:
URLURL TypeDescription
https://doi.org/10.31234/osf.io/75eyxDOIDiscussion Paper
https://osf.io/kex8y/DOISupporting Information
ORCID:
AuthorORCID
Rusch, Tessa0000-0002-5445-6885
Han, Yanting0000-0003-3381-2059
Liang, Dehua0000-0003-4794-0270
Hopkins, Amber0000-0002-8354-565X
Maoz, Uri0000-0002-7899-1241
Paul, Lynn K.0000-0002-3128-8313
Additional Information:CC-By Attribution 4.0 International This dataset is the result of a collaborative effort by the entire COVID-Dynamic team (in alphabetical order): Ralph Adolphs, R. Michael Alvarez, Ruby Basyouni, Isabella Camplison, Yanting Han, Denise Hien, Amber Hopkins, Jonathan Katz, Tian Lan, Caroline Lawrence, Dehua Liang, Chujun Lin, Teresa Lopez-Castro, Uri Maoz, Marie-Christine Nizzi, Lynn K. Paul, Allison Rabkin Golden, Tessa Rusch, Damian A. Stanley, Iman Wahle, and Gideon Yaffe. A detailed characterization of each team member’s contribution is given in the contribution table (Figure 5). This work was supported by grants from the National Institute of Mental Health (2P50MH094258), the Caltech Chen Neuroscience Institute, and the Caltech Merkin Institute (RA), by the Oscar M. Ruebhausen Fund at Yale Law School (GY), the Rutgers Center of Alcohol & Substance Use Studies (DH), the John Templeton Foundation and the Kay Family COVID-19 Rapid Response Research Awards at Chapman University (UM), and the Colin Powell School for Civic and Global Leadership, The City College of New York (TLC). The opinions expressed in this publication are those of the authors and do not necessarily reflect the views of the funding agencies.
Group:COVID-19, Richard N. Merkin Institute for Translational Research, Tianqiao and Chrissy Chen Institute for Neuroscience
Funders:
Funding AgencyGrant Number
NIH2P50MH094258
Tianqiao and Chrissy Chen Institute for NeuroscienceUNSPECIFIED
Caltech Merkin Institute for Translational ResearchUNSPECIFIED
Yale Law SchoolUNSPECIFIED
Rutgers Center of Alcohol & Substance Use StudiesUNSPECIFIED
John Templeton FoundationUNSPECIFIED
Kay Family COVID-19 Rapid Response Research AwardsUNSPECIFIED
City College of New YorkUNSPECIFIED
DOI:10.31234/osf.io/75eyx
Record Number:CaltechAUTHORS:20211008-224631657
Persistent URL:https://resolver.caltech.edu/CaltechAUTHORS:20211008-224631657
Official Citation:Rusch, T., Han, Y., Liang, D., Hopkins, A., Lawrence, C., Maoz, U., … Stanley, D. A. (2021, March 7). COVID-Dynamic: A large-scale multifaceted longitudinal study of socioemotional and behavioral change across the pandemic. https://doi.org/10.31234/osf.io/75eyx
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:111336
Collection:CaltechAUTHORS
Deposited By: George Porter
Deposited On:11 Oct 2021 15:03
Last Modified:16 Nov 2021 19:44

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