Categorizing gender beyond the binary: inequalities in education from a multidimensional gender perspective.

ABSTRACT: This study seeks to gain a better understanding of gender diversity and its implications for educational inequality research by exploring how different methods of gender categorization shape analytical outcomes. Using large-scale, nationally representative data from Mexico's National Survey on Sexual and Gender Diversity (ENDISEG), the study compares three gender categorization strategies: existing classifications of gender trajectories-cisgender, transgender, or something else-a binary/non-binary framework, and a multidimensional model that considers both gender trajectory and binary identification simultaneously. These two axes reflect key dimensions of gender normativity: alignment with sex assigned at birth and conformity to binary gender categories. Linear models are employed to asses

SUBMITTER: Bercovich Szulmajster S 

PROVIDER: S-EPMC12528270 | biostudies-literature | 2025

REPOSITORIES: biostudies-literature