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Scaling Up

Representing Gender Diversity in Survey Research

Datos Bibliográficos

ID2423637
AutoresDevon Magliozzi (Stanford University, autor de correspondencia), Aliya Saperstein (0000-0002-6429-1172, Stanford University), L Westbrook (0000-0003-0918-3213, Grand Valley State University)
Año2016
Volumen2
Número0
Páginas2/0/2378023116664352
Fecha de publicación2016-01-01
Peer ReviewedSí
Open AccessSí
TipoARTICLE
RevistaSocius Sociological Research for a Dynamic World (JOURNAL)
Identificadores de la revistaISSN: 2378-0231 • E-ISSN: 2378-0231
EditorialSAGE Publications Inc (PUBLISHER)
DOI10.1177/2378023116664352
OpenAlexW2514365352
IdiomaEN
Citas recibidas89
Referencias citadas53

Survey measures of gender have been critiqued for failing to reflect the diversity of the population. Conventionally, respondents to national surveys are categorized as female or male. Calls for improvement have centered on adding additional categories, such as transgender. We propose that in addition to revising categorical gender measures, national surveys should incorporate gradational measures of femininity and masculinity to better reflect gender diversity and sharpen models of gender inequality. Our results from two national pilot studies show that conventional measures mask significant variation within the categories of female and male. For example, less than a quarter of respondents reported that they are very feminine or masculine, respectively, and not at all the other. We also demonstrate that scale responses can be treated as independent variables in studies of inequality or as dependent variables that allow gender identification to be an outcome of social processes

Cartography · Categorical variable · Diversity (politics · Femininity · Gender diversity · Gender inequality · Geography · Identification (biology · Inequality · Masculinity · Multidimensional scaling · Population · Quarter (Canadian coin · Scale (ratio · Sociology · Statistics · Transgender · Demography · Gender Diversity and Inequality · Gender Roles and Identity Studies · LGBTQ Health, Identity, and Policy · Mathematics · Psychology · Social Psychology

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Obras citantes distintas89
Citas por año9,89
Intervalo de citas2017 - 2026 (10)
Velocidad de citacióncurrent
Altamente citadoNo
Tipos de citaNeutras: 89
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