SN223

The Mitigating Role of Digital Communication Technologies on Negative Affect During the COVID-19 Outbreak in Italy (2020)

Gabbiadini, Alessandro (Università degli Studi di Milano-Bicocca)

Version:
1.0

Changelog (Archive version):

1.0 - 2021-05-24
* first import routine of the study
* removal of the records not usable for the analysis, based on the information provided by the source. For further information see the attached documentation
* amendment of the recode of three items of the State-Trait Anxiety scale (variable ANX_CA_R, ANX_RI_R, ANX_CO_R) and recalculation of the scale (variable S_ANXIET). Recalculation of the State-Trait Anger Expression scale (variable S_ANGER). Recalculation of the index of technology use for work/school activities before the lockdown (variable PR_TC_LA). For more information see the attached documentation

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Release:
2020-10-07

Changelog (Source release):

2020-10-07
* first release

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Availability:
restricted access

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  • restricted data
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Data Kind:
individual data

Time Dimensions:
cross-section

Questionnaire:
260.46 KB
other documentation
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Data refer to a study concerning the rule and the impact of digital communication technologies during the COVID-19 outbreak. The pandemic of COVID-19 has forced governments to impose restrictions (lockdown), and many people have suddenly found themselves having to reduce their social relations drastically and, therefore, to  increase the use of digital communication technology.

The study investigates how the increasing use of this technology for virtual meetings (i.e., voice and video calls, online board games and multiplayer video games, or watching movies in party mode) during the lockdown promoted the perception of social support, which in itself mitigated the psychological effects of the lockdown in Italy.

Data were collected through a web survey during the lockdown imposed to reduce the COVID-19 spread. By adopting a snowball sampling technique, the participants were recruited through social media and instant messaging systems, by sending them a link to the web survey, and by asking them to forward the link to their contacts.

The questionnaire included questions about the amount of the use of technology during and before the lockdown, asking the participants to report how many times a week they had used different tools to stay connected for leisure or work/school activities. The emotional state of the participants during the lockdown was assessed through the use of measures of loneliness, boredom, anxiety, anger, irritability and belongingness.


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Topic Classification:

  • HEALTH - general health
  • PSYCHOLOGY
  • SCIENCE AND TECHNOLOGY - information technology
  • Nations: Italy

    Geographical Unit: region

    Analysis Unit: individual

    Universe: residents in Italy aged 18 and over

    Sample Procedure: 465 individuals. Convenience sampling. For further information see the attached documentation

    Weight: No weight used

    Collection Mode: web-based self-administered questionnaire (CAWI)

    Collection Size: UniData supplies: 1 dataset in SPSS format; 1 questionnaire in PDF format (ita); 1 methodological notes in PDF format (ita); 1 codebook in PDF format (ita) (4 file)

    Documentation:

    Methodological Notes (pdf):
    Codebook (pdf):
    DDI Documentation:
    DDI Documentation

    Publications:

    1. Gabbiadini A., Baldissarri C., Durante F., Valtorta R.R., De Rosa M., Gallucci, M. (2020). Together Apart: The Mitigating Role of Digital Communication Technologies on Negative Affect During the COVID-19 Outbreak in Italy. Frontiers in Psychology, 11:554678, doi: 10.3389/fpsyg.2020.554678

    Data Use Restriction:
    Data are released for research purposes only and are subject to authorization. The redistribution to the third party, even in partial form, of data is not allowed. Please, contact UniData's archive in order to data access.
    Source Contact: Alessandro Gabbiadini

    Citation:
    Gabbiadini, Alessandro. (2020) The Mitigating Role of Digital Communication Technologies on Negative Affect During the COVID-19 Outbreak in Italy. UniData - Bicocca Data Archive, Milan. Study Number SN223. Data file version 1.0 doi:10.20366/unimib/unidata/SN223-1.0

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