Predicting interpersonal dynamics during the COVID-19 pandemic using machine learning: A cross-national longitudinal study.

Contributors:
  1. Michał Pieniak
  2. Judit Martínez Molina
  3. Ondra Pešout
  4. Frank Scharnowski
  5. Andrew Nicholson

Date created: | Last Updated:

: DOI | ARK

Creating DOI. Please wait...

Create DOI

Category: Project

Description: This project surveyed 533 adult participants over a seven-week period in spring 2020, as lockdown measures were implemented in Austria, Poland, Spain and Czech Republic. Four aspects and subsets of the dataset are discussed in four preprints/papers: 1) 'Predicting fear and perceived health during the COVID-19 pandemic using machine learning: A cross-national longitudinal study'. PLOS ONE. https://doi.org/10.1371/journal.pone.0247997 2) ‘Securing your relationship – Quality of intimate relationships and sexual behavior during the COVID-19 pandemic can be predicted by attachment security’. Frontiers in Psychology https://doi.org/10.3389/fpsyg.2021.647956 3) 'Food insecurity, hoarding behavior, and environmental harshness do not predict weight changes during the COVID-19 pandemic.' Human Ethology. https://doi.org/10.22330/he/35/122-136 4)'Danger and Strangers – Pathogenic threat, perceived vulnerability and fear do not predict ethnocentric orientations during the COVID-19 pandemic'. Under Review. https://psyarxiv.com/wpcqb/ Authors: Eder, S.J.,Stefańczyk,M.M., Pieniak, M., Martínez,J., Pešout, O., Binter, J., Smela, P., Scharnowski,F., Steyrl, D., Nicholson, A Here, we publish preprints, the collected data and more detailed information on the questions in our surveys.

License: CC-By Attribution 4.0 International

Included in Coronavirus's Collection  
  • Type:  COVID-19
  • Status:  Active

Wiki

This project surveyed 533 adult participants over a seven-week period in spring 2020, as lockdown measures were implemented in Austria, Poland, Spain and Czech Republic. Four aspects of the dataset are discussed in four preprints/papers: 1) 'Dangers and Strangers – Pathogenic threat, perceived vulnerability and fear do not predict ethnocentric orientations during the COVID-19 pandemic'. https://ps...

Files

Loading files...

Citation

Components

  • Predicting ethnocentric orientations

    Eder, Pieniak, Molina & 6 more

    Recent Activity

    Loading logs...

  • Predicting relationship quality

    Eder, Pieniak, Molina & 6 more

    Recent Activity

    Loading logs...

  • Body weight and the pandemic

    Eder, Pieniak, Molina & 6 more
    Supplenmentary material to: 'Food insecurity, hoarding behavior, and environmental harshness do not predict weight changes during the COVID-19 pandemi...

    Recent Activity

    Loading logs...

  • Translations: PVD and IWAH (German, Polish, Spanish, Czech)

    Eder, Pieniak, Molina & 6 more
    We created German, Spanish, Polish & Czech versions of the Perceived Vulnerability to Disease Scale (PVD, Duncan et al., 2009) and the Identificat...

    Recent Activity

    Loading logs...

Tags

Recent Activity

Loading logs...

OSF does not support the use of Internet Explorer. For optimal performance, please switch to another browser.
Accept
This website relies on cookies to help provide a better user experience. By clicking Accept or continuing to use the site, you agree. For more information, see our Privacy Policy and information on cookie use.
Accept
×

Start managing your projects on the OSF today.

Free and easy to use, the Open Science Framework supports the entire research lifecycle: planning, execution, reporting, archiving, and discovery.