The RW3D: A multi-modal panel dataset to understand the psychological
impact of the pandemic
- URL: http://arxiv.org/abs/2302.00606v1
- Date: Wed, 1 Feb 2023 17:13:06 GMT
- Title: The RW3D: A multi-modal panel dataset to understand the psychological
impact of the pandemic
- Authors: Isabelle van der Vegt and Bennett Kleinberg
- Abstract summary: 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.
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.
- Score: 0.6675491069288519
- License: http://creativecommons.org/licenses/by/4.0/
- 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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