Testing Mark-all-that-apply Measures of Sexual Orientation and Gender Identity

Field Methods ◽  
2018 ◽  
Vol 30 (4) ◽  
pp. 357-370 ◽  
Author(s):  
Philip S. Brenner ◽  
Justine Bulgar-Medina
Keyword(s):  
Sexual Orientation ◽  
Best Practices ◽  
Gender Identity ◽  
Data Quality ◽  
Forced Choice ◽  
Social Identities ◽  
Factorial Survey ◽  
Survey Experiment ◽  
Race Ethnicity ◽  
And Gender

Many social identities (e.g., race, ethnicity) are measured using mark-all-that-apply (MATA) questions because they allow survey respondents to account for the multiple, nonexclusive ways in which they identify themselves. We test the use of MATA measures of sexual orientation and gender identity and compare them with forced choice (FC), an alternative format using a series of yes-or-no questions. Respondents, including an oversample of lesbian, gay, bisexual, and queer (LGBQ) individuals, participated in a 2 × 3 factorial survey experiment. For the first factor, we hypothesize that respondents randomly assigned to FC will report a higher count of identities than those assigned to MATA. For the second factor, we hypothesize that increased topic salience will help LGBQ respondents in particular to overcome poor question design. Findings suggest that MATA and FC measure comparably when question writing best practices are followed, but topic salience can yield higher data quality when poorly formatted questions are used.

scholarly journals Collection of Data on Sex, Sexual Orientation, and Gender Identity by U.S. Public Health Data and Monitoring Systems, 2015–2018

2021 ◽  
Vol 18 (22) ◽  
pp. 12189
Author(s):  
Alissa C. Kress ◽  
Asia Asberry ◽  
Julio Dicent Taillepierre ◽  
Michelle M. Johns ◽  
Pattie Tucker ◽  
...  
Keyword(s):  
Public Health ◽  
Sexual Orientation ◽  
Data Collection ◽  
Gender Identity ◽  
Health Data ◽  
Monitoring Systems ◽  
Data Systems ◽  
Public Health Data ◽  
Race Ethnicity ◽  
And Gender

We aimed to assess Centers for Disease Control and Prevention (CDC) data systems on the extent of data collection on sex, sexual orientation, and gender identity as well as on age and race/ethnicity. Between March and September 2019, we searched 11 federal websites to identify CDC-supported or -led U.S. data systems active between 2015 and 2018. We searched the systems’ website, documentation, and publications for evidence of data collection on sex, sexual orientation, gender identity, age, and race/ethnicity. We categorized each system by type (disease notification, periodic prevalence survey, registry/vital record, or multiple sources). We provide descriptive statistics of characteristics of the identified systems. Most (94.1%) systems we assessed collected data on sex. All systems collected data on age, and approximately 80% collected data on race/ethnicity. Only 17.7% collected data on sexual orientation and 5.9% on gender identity. Periodic prevalence surveys were the most common system type for collecting all the variables we assessed. While most U.S. public health data and monitoring systems collect data disaggregated by sex, age, and race/ethnicity, far fewer do so for sexual orientation or gender identity. Standards and examples exist to aid efforts to collect and report these vitally important data. Additionally important is increasing accessibility and appropriately tailored dissemination of reports of these data to public health professionals and other collaborators.

Hate and violence: Addressing discrimination based on race, ethnicity, religion, sexual orientation, and gender identity.

2018 ◽  
Vol 8 (6) ◽  
pp. 649-656 ◽  
Author(s):  
David B. Sugarman ◽  
Maury Nation ◽  
Nicole P. Yuan ◽  
Gabriel P. Kuperminc ◽  
Lama Hassoun Ayoub ◽  
...  
Keyword(s):  
Sexual Orientation ◽  
Gender Identity ◽  
Race Ethnicity ◽  
And Gender

scholarly journals Americans’ Perceptions of Transgender People’s Sex: Evidence from a National Survey Experiment

2019 ◽  
Vol 5 ◽  
pp. 237802311985201 ◽  
Author(s):  
Long Doan ◽  
Natasha Quadlin ◽  
Brian Powell
Keyword(s):  
Sexual Orientation ◽  
Gender Identity ◽  
National Survey ◽  
Public Perceptions ◽  
Survey Experiment ◽  
Sex And Gender ◽  
Transgender People ◽  
Interpersonal Contact ◽  
Gender Conformity ◽  
And Gender

Drawing on the first national survey experiment of its kind ( n = 3,922), the authors examine Americans’ perceptions of transgender people’s sex and the factors that underlie these perceptions. The authors randomly assigned respondents to a vignette condition describing a transgender person whose self-identified gender (i.e., identifies as a man or a woman), age (i.e., adult or teenager), and gender conformity in physical appearance (i.e., conforming, nonconforming, ambiguous, or unspecified) had been experimentally manipulated. Then, respondents were asked how they would personally classify that person’s sex. The findings suggest that Americans are more likely to perceive a transgender person’s sex as consistent with their sex assigned at birth than with their gender identity. Furthermore, of the experimental manipulations included in the experiment, only the transgender person’s level of gender conformity—not their self-identified gender or age—affects public perceptions of sex. The authors also find distinct cleavages along sociodemographic lines, including politics, sexual orientation, and interpersonal contact with transgender people. Implications for research on sex and gender are discussed.

scholarly journals Whiteness and the Great Lie of Diversity

2021 ◽  
Vol 34 (1) ◽  
Author(s):  
Mark Zunac
Keyword(s):  
Sexual Orientation ◽  
Gender Identity ◽  
Marital Status ◽  
Cultural Competency ◽  
First Amendment ◽  
Race Ethnicity ◽  
And Gender ◽  
The University

The University of Wisconsin’s “Diversity Framework,” begun in 2015, comes complete with the substitution of “cultural competency” requirements for First Amendment rights; a multi-headed hydra of inclusion agencies with enforcement power; the conscription of participants to “engage” with the diversity regime; and, most of all, an open-ended expansion of the “dimensions of diversity” beyond race, ethnicity, gender, sexual orientation, and gender identity to marital status, age, and “other identities.”

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