Evaluating inclusive gender identity measures for use in quantitative psychological research

Despite growing awareness of the discrimination, violence and health disparities experienced by transgender people, most researchers in psychology assess gender identity using a binary categorical measure: ‘male’ and ‘female’. This standard generates imprecise gender identity data, which has significant implications for the social inclusion and well-being of the transgender community. Here, I argue that inclusive gender identity measures should be implemented across all fields of psychology, assess options for collecting gender identity data and offer specific advice for psychological researchers interested in the science of gender identity measurement.