Italian Lives - ITA.LI: Quantitative data (2019-2021)

DOI

Italian Lives (ITA.LI) is a quantitative and qualitative longitudinal survey carried out by the Department of Sociology and Social Research of the University of Milan-Bicocca. The survey is aimed at building a database on social change in Italy offering high-quality data to researchers working in several disciplinary fields. The first wave of the survey engaged members aged 16 or over belonging to 4900 families, selected in over 250 Italian municipalities. The participants' biography from their birth to the time of the interview was reconstructed, collecting retrospective information on themes such as: - residential mobility - schooling - work career - forms of family cohabitation and marriage - birth of children In addition, prospective information was collected on topics of interest such as: - health - quality of life - family resources - Internet use - political participation For a proper use of the weights, please refer to the relevant documentation, available here.

4,900 families, 8,967 individuals. Multi-stage stratified random sample

Computer-Assisted Telephone Interviewing (CATI)

Computer-Assisted Personal Interviewing (CAPI)

Identifier
DOI https://doi.org/10.20366/unimib/unidata/SN236-1.1
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=cff5a3e2f139055aa78471d3011d56f44add16d0145d47b5c0d9155c1e842918
Provenance
Creator Institute for Advanced Study of Social Change (IASSC)
Publisher UniData - Bicocca Data Archive
Publication Year 2024
Rights UniData metadata records are licensed under a Creative Commons Attribution-Noncommercial 3.0 Italian License; Data can be accessed by filling in a request form available <a href="https://forms.gle/vRrB25gzeZCDionRA" target="_blank">here</a>. Once downloaded, data may not be transferred to third parties, either free of charge or against payment, even in partial form. For any information, please contact the <a href="mailto:unidata@unimib.it">UniData archive</a> directly.
OpenAccess true
Contact https://www.unidata.unimib.it
Representation
Resource Type individual data
Discipline Economics; Social and Behavioural Sciences
Spatial Coverage Italy