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Session Submission Type: Workshop
As surveys and administrative data collections have been modified to reflect new perspectives on individual identities, quantitative researchers are confronted with a methodological challenge. Analysis of these datasets may include expanded detailed demographic categories that are too small to yield meaningful statistical results, or may create privacy concerns. One typical response has been to lump small categories together as “other,” defeating the purpose of the detailed data collection in the process. This session will review strategies for disaggregated analysis, illustrated with examples utilizing combinations of gender, race and ethnicity, and sexual orientation.