In this session we will review some of the challenges in creating gender inclusive categories in surveys using real world examples. Key issues include:1) identifying correlations with non-binary gender data (what if your sample has 1 trans person and everyone else is cis male/female, for example?) and 2) challenges related to time order with transgender populations (what it means to be visibly transgender in relation to discrimination can vary so much over the life course, for example). We will also discuss how researchers, particularly grad students and undergrads, are using social media to target distribution of surveys to transgender populations. The methodological implications of these transparent dialogues between researcher and researched populations are fascinating. This topic may actually be the most controversial between positivist-leaning and cultural sociologist attendees. We look forward to audience participation on this one!

This webinar is part of the 2020 ICPSR Data Fair, "Data in Real Life." More information about the Data Fair can be found at http://myumi.ch/ICPSRdatafair2020. Please note that all attendees for this session must be registered for the ICPSR Data Fair.