Although government surveys collect significant amounts of data about the U.S. population, these surveys have historically excluded demographic questions about the LGBTQ population. As a result, official population data may misrepresent the LGBTQ community, resulting in biased or inefficient policies. The Invisible in Data series will explore policies such as voter identification and election law, voter engagement, and LGBTQ diversity in the workforce by empirically testing the reliability of existing statistical models that exclude sexual orientation variables.
Research agrees that “the typical volunteer is white, female, married with children, middle-aged, with higher levels of education and socioeconomic status.” But are they straight, too? This first article in the Invisible in Data series about LGBTQ communities explores that…
Although government surveys collect significant amounts of data about the U.S. population, these surveys have historically excluded demographic questions about the LGBTQ population. As a result, official population data may misrepresent the LGBTQ community, resulting in biased or insufficient policies.…