For data’s sake

Dilemmas in the measurement of gender minorities

Datos Bibliográficos

ID15099469
AutoresJennifer L Glick (0000-0003-3323-1983, Global Community Health and Behavioral Sciences, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA, autor de correspondencia), Katherine P Theall (0000-0001-6371-1959, Tulane University), Katherine Theall (Global Community Health and Behavioral Sciences, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA), Katherine Andrinopoulos (Global Community Health and Behavioral Sciences, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA), C Kendall (0000-0002-0794-4333, Global Community Health and Behavioral Sciences, Tulane University School of Public Health and Tropical Medicine, New Orleans, LA, USA)
Año2018
Volumen20
Número12
Páginas1362-1377
Fecha de publicación2018-12-02
Peer ReviewedSí
Open AccessNo
TipoARTICLE
RevistaCulture Health & Sexuality (JOURNAL)
Identificadores de la revistaISSN: 1369-1058 • E-ISSN: 1464-5351
EditorialInforma UK Limited (PUBLISHER • GB)
DOI10.1080/13691058.2018.1437220
PMID29533145
OpenAlexW2791637264
IdiomaEN
Citas recibidas16
Referencias citadas25

Gender-minority health disparity research is limited by binary gender measurement practices. This study seeks to broaden current discourse on gender identity measurement in the USA, including measurement adoption challenges and mitigation strategies, thereby allowing for better data collection to understand and address health disparities for people of all genders. Three data sources were used to triangulate findings: expert interviews with gender and sexuality research leaders; key-informant interviews with gender minorities in New Orleans, LA; and document analysis of relevant surveys, guides and commentaries. Ten key dilemmas were identified: 1) moving beyond binary gender construction; 2) conflation of gender, sex and sexual orientation; 3) emerging nature of gender-related language; 4) concerns about item sensitivity; 5) research fatigue among gender minorities; 6) design and analytical limitations; 7) categorical and procedural consistency; 8) pre-populated vs. open-field survey items; 9) potential misclassification; and 10) competing data collection needs. Researchers must continue working toward consensus concerning better practices is gender measurement and be explicit about their methodological choices. The existence of these dilemmas must not impede research on important health issues affecting gender minorities

Categorical variable · Conflation · Consistency (knowledge bases · Construct (python library · Data collection · Flexibility (engineering · Gender identity · Sexual minority · Sexual orientation · Social science · Sociology · Transgender · Applied Psychology · Computer Science · Gender Roles and Identity Studies · Gender Studies · LGBTQ Health, Identity, and Policy · Psychology · Sex and Gender in Healthcare · Social Psychology