Multifaceted Gender Identity Measurement As An Alternative to Forced-Choice Assessments

Hilary Aralis Co-Author
University of California Los Angeles
 
Zichen Liu Co-Author
Univ
 
Andrew Chuang Co-Author
University of California, Los Angeles
 
Sung-Jae Lee Co-Author
 
Donatello Telesca Co-Author
UCLA School of Public Health
 
Thomas Belin First Author
University of California-Los Angeles
 
Thomas Belin Presenting Author
University of California-Los Angeles
 
Wednesday, Aug 7: 9:30 AM - 9:35 AM
3371 
Contributed Speed 
Oregon Convention Center 
While suggesting specific question wording for surveys collecting data on gender identity and sexual orientation, a 2022 National Academies of Sciences, Engineering, and Medicine report on "Measuring Sex, Gender Identity, and Sexual Orientation" recognized limitations of "forced-choice measurement" using multiple-choice items and recommended further research into representing nonbinary gender identity and gender fluidity. Here we describe a framework for "Multifaceted Gender Identity Measurement" (M-GIM) asking respondents about the extent to which they agree or disagree with a series of gender-identity and sexual-orientation prompts, anticipating that identifiable clusters will emerge from patterns in ordinal responses without requiring individuals to self-classify into one of a limited number of categories. After highlighting the appeal of keeping such queries free of the implicit constraints and negative associations built into mutually-exclusive response options, the presentation will discuss a conceptual framework for investigating disparities in quality-of-life outcomes across population subgroups characterized by similar gender-identity or sexual-orientation profiles.

Keywords

gender identity

sexual orientation

ordinal data

cluster analysis

nonbinary

gender fluidity 

Main Sponsor

Social Statistics Section