The RW3D: A multi-modal panel dataset to understand the psychological impact of the pandemic

Isabelle van der Vegt, Bennett Kleinberg
2/1/2023
cs.CL

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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-based 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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Cite this paper

@article{vegt2023rwd,
  title  = {The RW3D: A multi-modal panel dataset to understand the psychological impact of the pandemic},
  author = {Isabelle van der Vegt and Bennett Kleinberg},
  year   = {2023},
  eprint = {2302.00606},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2302.00606v1}
}

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