Transgender Italy (2023-2024)

DOI

The Transgender Italy dataset was produced as part of an Italian Master's thesis project entitled "Transgender: a quantitative look at discrimination, gender affirmation, and life satisfaction". The project had a twofold objective: on the one hand, to provide a quantitative description of the experiences of Italian transgender people in terms of discrimination, gender affirmation path and self-determination; on the other hand, to study the effect of the gender affirmation path on transgender people's satisfaction, taking into account the dimension of self-determination and the heterogeneity of experiences. The dataset includes data collected through an online questionnaire administered to 132 Italian transgender adults. Given the characteristics of the target population, sampling is not probabilistic. The questions are divided into four sections: - demographic information: age, place of residence, education, employment status and economic condition; - discrimination experienced as a transgender person: in general terms and in seven specific areas of social life; - path to gender affirmation; - quality of social relations and the attachment to the transgender community.

132 individuals. Non-probability sample of availability

web-based self-administered questionnaire (CAWI)

Identifier
DOI https://doi.org/10.20366/unimib/unidata/SN261-1.0
Metadata Access https://datacatalogue.cessda.eu/oai-pmh/v0/oai?verb=GetRecord&metadataPrefix=oai_ddi25&identifier=83f775fa97a9a24c34fccefe12b893f6c80ffbaf029ced59dfba0a0e039f89e9
Provenance
Creator Zennoni, Ante
Publisher UniData - Bicocca Data Archive
Publication Year 2025
Rights UniData metadata records are licensed under a Creative Commons Attribution-Noncommercial 3.0 Italian License; Data are released in according to Creative Commons – Attribution 4.0 Licence, available <a href="https://creativecommons.org/licenses/by/4.0/" target="_blank">here</a>.
OpenAccess true
Contact https://www.unidata.unimib.it
Representation
Resource Type individual data
Discipline Social Sciences
Spatial Coverage Italy