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A multi-modal panel dataset to understand the psychological impact of the pandemic
Isabelle van der Vegt1, Bennett Kleinberg2,3
1Utrecht University, Department of Sociology, Utrecht University, 3584 CH, Utrecht, The Netherlands. i.w.j.vandervegt@uu.nl.
Abstract:
Besides far-reaching public health consequences, the COVID-19 pandemic had a significant psychological impact on people around the world. To gain further insight into this matter, we introduce the Real World Worry Waves Dataset (RW3D). The dataset combines rich open-ended free-text responses with survey data on emotions, significant life events, and psychological stressors in a repeated-measures design in the UK over three years (2020: n = 2441, 2021: n = 1716 and 2022: n = 1152). This paper provides background information on the data collection procedure, the recorded variables, participants' demographics, and higher-order psychological and text-derived variables that emerged from the data. The RW3D is a unique primary data resource that could inspire new research questions on the psychological impact of the pandemic, especially those that connect modalities (here: text data, psychological survey variables and demographics) over time.
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