The LGBTQI* challenge: How to include sexual and gender minorities in general population, longitudinal and cross-national surveys? 1 |
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| Coordinator 1 | Mrs Lisa de Vries (Bielefeld University) |
| Coordinator 2 | Dr Mirjam Fischer (University of Cologne) |
| Coordinator 3 | Professor Stephanie Steinmetz (Universities of Lausanne and Amsterdam) |
The ongoing public debate and rising legal acceptance of lesbian, gay, bisexual, trans*, queer, and inter* people increased the visibility of LGBTQI* people in the last decades. In addition, scientific studies from various disciplines increasingly examine the living and working conditions of LGBTQI* people across countries.
Nevertheless, LGBTQI* people are still rarely represented in general population surveys and recent data lacks longitudinal and cross-national perspectives. In many countries, even the amount of LGBTQI* people in the whole population cannot be estimated. Recent developments tried to fill these data gaps by i) integrating questions about sexual orientation and gender identity in general population surveys, ii) identifying same-sex couples in register and census data, or iii) integrating new sampling strategies to reach LGBTQI* people. However, these new approaches pose several methodical challenges for researchers and survey institutes.
This session bundles several methodical issues about including LGBTQI* people in general population, longitudinal and cross-national surveys, and invites researchers as well as employees from survey institutes and census bureaus to discuss recent developments and issues.
Relevant topics include (but are not limited to):
• Identify same-sex, bisexual or transgender people in surveys and register data
• Methods of weighting or alignment to integrate LGBTQI* respondents in general population surveys
• Harmonization of changes in gender and sexuality measurements in panel studies over time
• Sampling strategies and new approaches to reach LGBTQI* people for different types of surveys
• Dealing with small group sizes in statistical analyses