Version:2.0
Release:2021-03-01
Availability:restricted access
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- open data
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Data Kind:
individual data
Time Dimensions:
longitudinal (panel)
Cycle/wave/round:
wave 1
other documentation
ILQA-19 is a longitudinal qualitative case study. It investigates the social consequences of the Covid-19 pandemic on older people’s well-being and everyday life. It is conducted on a purposive sample of 40 older men and women aged between 65 and 80 living in the ten villages (located in the Northern part of Italy) that experienced the first lockdown in Europe. The first wave of the data collection was conducted in spring 2020, during the first lockdown, using semi-structured video-interviews. Wave 1 interview explores changes occurred in older people’s everyday life, the role of social relationships and social media use during the lockdown, and the impact of the lockdown on older people’s well-being. In particular, the research intends:
- analyse the representations of the elderly regarding the redefinition of the “new” everyday life;
- explore how changes in relationship networks (intra/intergenerational links within and outside the family network) and in support and care systems have affected the well-being of the elderly;
- reconstruct the strategies and resources adopted by the elderly to adapt to the new everyday life, also with reference to the role of “social technologies” and the changes in their use;
- collect their views on the measures taken by the institutions, especially on the relationship between health policies and respect for the principles of active ageing.
Keywords: Covid-19, elders, ILQA-19, social media, well-being
Topic Classification:
Nations: Italy
Geographical Cover:Municipality of Bertonico Municipality of Casalpusterlengo Municipality of Castelgerundo Municipality of Castiglione D’Adda Municipality of Codogno Municipality of Fombio Municipality of Maleo Municipality of San Fiorano Municipality of Somaglia Municipality of Terranova dei Passerini
Geographical Unit: not applicable
Analysis Unit: individual
Universe: Residents in the municipalities covered by the research aged 65 to 80 years
Sample Procedure: 40 individuals. Snowball sampling
Weight: No weight used
Collection Mode: face to face interview
Collection Size: UniData supplies: 40 interview's transcriptions in MS Word format (ita), 1 interview script in PDF format (ita), 1 methodological notes in PDF format (ita), 1 Data List in PDF format (ita), 1 Archive notes in PDF format (ita) (44 file)
Documentation:
Script (pdf): | Data List (pdf): | Data Archive Notes (pdf): |
DDI Documentation: |
Publications:
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Melis, G., Sala, E., & Zaccaria, D. (2022). The Role of Information and Communication Technologies in Researching Older People During the Covid-19 Pandemic. In Q. Gao & J. Zhou (Eds.), Human Aspects of IT for the Aged Population. Design, Interaction and Technology Acceptance (pp. 53–68). Springer International Publishing. https://doi.org/10.1007/978-3-031-05581-2_5
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Melis, G., Sala, E., & Zaccaria, D. (2021). Remote recruiting and video-interviewing older people: A research note on a qualitative case study carried out in the first Covid-19 Red Zone in Europe. International Journal of Social Research Methodology, 25(4), 477–482. https://doi.org/10.1080/13645579.2021.1913921
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Melis, G., Sala, E., & Zaccaria, D. (2021). «I turned to Facebook to know when they would open the cemetery»… : Results from a qualitative case study on older people’s social media use during COVID-19 lockdown in Italy. Rassegna Italiana di Sociologia, LXII(2), 431–457. https://doi.org/10.1423/101851
Data Use Restriction:
Data are released for research and teaching 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: Emanuela Sala
Citation:
Sala, Emanuela; Melis, Giulia; Zaccaria, Daniele. (2020) ILQA-19. Longitudinal Study on Older People’s Quality of Life during the Covid-19 pandemic. Melis, Giulia [Producer]. UniData - Bicocca Data Archive, Milan. Study Number SN230. Data file version 2.0 doi:10.20366/unimib/unidata/SN230-2.0
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