Evaluating inclusive gender identity measures for use in quantitative psychological research
By G. Fraser. Psychology & Sexuality, 2018
102 citations recorded by the source corpus.
ABSTRACT 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. GRAPHICAL ABSTRACT
Subfields: Gender Studies, Social Psychology
View Paper: https://www.semanticscholar.org/paper/51cc34d3ba5d30a1f16886b0032f34425abc5aa6
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In Gender Studies
In Social Psychology
Citations in the corpus
- What is gender, anyway: a review of the options for operationalising gender (2020, methodology): “If that is the case, one suggestion is to include descriptive statistics in a table, to acknowledge all participants despite gender identity (Fraser, 2018).”
- Revisiting Gendered Web Forms: An Evaluation of Gender Inputs with (Non-)Binary People (2021, background): “From left to right: Option 1: Select One: Male or Female (See: [11, 93, 94]); Option 2: Select One: Male, Female, or Other (See: [58, 89, 100]); Option 3: Select One: Male, Female, or Something Else (Open-Text Box) (See: [1, 8, 44]); Option 4: Gender: (open text box) (See: [3, 43, 70, 98]); Option 5”