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

Tessa Rusch; Yanting Han; Dehua Liang; Amber R. Hopkins; Caroline V. Lawrence; Uri Maoz; Lynn K. Paul; Damian A. Stanley; the COVID-Dynamic Team

doi:10.1038/s41597-022-01901-6

Scientific Data (Feb 2023)

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

Tessa Rusch,
Yanting Han,
Dehua Liang,
Amber R. Hopkins,
Caroline V. Lawrence,
Uri Maoz,
Lynn K. Paul,
Damian A. Stanley,
the COVID-Dynamic Team

Affiliations

Tessa Rusch: Division of Humanities and Social Sciences, California Institute of Technology
Yanting Han: Division of Biology and Biological Engineering, California Institute of Technology
Dehua Liang: Institute for Interdisciplinary Brain and Behavioral Sciences, Chapman University
Amber R. Hopkins: Institute for Interdisciplinary Brain and Behavioral Sciences, Chapman University
Caroline V. Lawrence: Yale Law School
Uri Maoz: Division of Biology and Biological Engineering, California Institute of Technology
Lynn K. Paul: Division of Humanities and Social Sciences, California Institute of Technology
Damian A. Stanley: Division of Humanities and Social Sciences, California Institute of Technology
the COVID-Dynamic Team

DOI: https://doi.org/10.1038/s41597-022-01901-6
Journal volume & issue: Vol. 10, no. 1
pp. 1 – 23

Abstract

Read online

Measurement(s) Mental and Physical Health, Behavior, Personality, Emotion, Racial and Political Attitudes (Implicit and Explicit), Social and Moral Decision-Making, Demographics Technology Type(s) Questionnaires and Choice Tasks Factor Type(s) none Sample Characteristic - Organism Adult Humans Sample Characteristic - Environment Online Survey Sample Characteristic - Location United States of America

Published in Scientific Data

ISSN: 2052-4463 (Online)
Publisher: Nature Portfolio
Country of publisher: United Kingdom
LCC subjects: Science
Website: https://www.nature.com/sdata/

About the journal