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David Grant

UCLA Center for Health Policy Research



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Matt Jans

UCLA



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Royce Park

UCLA Center for Health Policy Research



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Ninez Ponce

University of California Los Angeles



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Jane Kil

UCLA Center for Health Policy Research



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Gary Gates

UCLA School of Law



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Bianca D. M. Wilson

UCLA School of Law



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Jody L. Herman

UCLA School of Law



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Putting the "T" in LGBT: A Pilot Test of Questions to Identify Transgender People in the California Health Interview Survey

Sponsor: Survey Research Methods Section
Keywords: Transgender, LGBT, Measurement, Population health surveys

David Grant

UCLA Center for Health Policy Research

Matt Jans

UCLA

Royce Park

UCLA Center for Health Policy Research

Ninez Ponce

University of California Los Angeles

Jane Kil

UCLA Center for Health Policy Research

Gary Gates

UCLA School of Law

Bianca D. M. Wilson

UCLA School of Law

Jody L. Herman

UCLA School of Law

As a large population-based health survey of the nation's most diverse state, the California Health Interview Survey (CHIS) provides relatively large samples of relatively rare population groups. Despite being the "T" in LGBT, transgender persons have been left out of CHIS and other population-health surveys. The combination of low prevalence (estimated at less than 1%) and varied definitions of the term "transgender" have led to assumptions that identifying transgender persons is difficult in general public health surveys. CHIS pilot tested four versions of gender identity questions in the final quarter of 2014. Versions were randomly assigned across approximately 3,000 respondents age 18 to 70. The pilot test was administered in English and Spanish and was conducted in production data collection, producing results that are direct estimates of the transgender population and a test of question wording effects. We present differences in transgender identification, missing data rates, and interview breakoffs across the four versions. Our pilot test results suggest that these questions can be successfully administered in population-health surveys.

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