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Ethnicity as a Variable: An Assessment of Measures and Data Sets of Ethnicity and Related Identities *
Author(s) -
Marquardt Kyle L.,
Herrera Yoshiko M.
Publication year - 2015
Publication title -
social science quarterly
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.482
H-Index - 90
eISSN - 1540-6237
pISSN - 0038-4941
DOI - 10.1111/ssqu.12187
Subject(s) - operationalization , ethnic group , diversity (politics) , divergence (linguistics) , listing (finance) , convergence (economics) , inclusion (mineral) , variable (mathematics) , sociology , social psychology , data science , psychology , computer science , mathematics , epistemology , economics , economic growth , philosophy , linguistics , finance , anthropology , mathematical analysis
Objective With the proliferation of new data sets and measures of identity‐based diversity, especially regarding ethnicity, it is essential that scholars who use these data sets on “ethnicity” understand their theoretical underpinnings, as well as their points of convergence and divergence. Methods We conduct a review of existing cross‐national measures of ethnic diversity. Results Different data sets involve inclusion boundaries for groups that vary drastically, and operationalize the relationship between the enumerated groups and outcomes of interest in ways that have often unacknowledged theoretical implications. Conclusions We describe the advantages and disadvantages of different data sets, and build on this description to point toward future directions in assessing the relationship between diversity and social phenomena, specifically focusing on the mechanisms that link groups to these outcomes. We also provide appendices listing the data sets discussed in the article, enabling scholars to conveniently access them.