2020
DOI: 10.3102/0091732x20903321
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How Administrative Data Collection and Analysis Can Better Reflect Racial and Ethnic Identities

Abstract: Measuring race and ethnicity for administrative data sets and then analyzing these data to understand racial/ethnic disparities present many logistical and theoretical challenges. In this chapter, we conduct a synthetic review of studies on how to effectively measure race/ethnicity for administrative data purposes and then utilize these measures in analyses. Recommendations based on this synthesis include combining the measure of Hispanic ethnicity with the broader racial/ethnic measure and allowing individual… Show more

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Cited by 38 publications
(39 citation statements)
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References 79 publications
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“…First, YAC protocols subscribe to completeness and quality of minority data using recommended standards for recoding racial and ethnic categories and reporting smallest available minority units to minimize inaccurate attributions. 42 Still, there is heterogeneity across and within race and ethnicity categories for which analysis cannot account, including multi-racial identities or distinctions within “Other” categories. 43 Arguably, these results are hard to interpret given heterogeneity of the All Other Races group.…”
Section: Discussionmentioning
confidence: 99%
“…First, YAC protocols subscribe to completeness and quality of minority data using recommended standards for recoding racial and ethnic categories and reporting smallest available minority units to minimize inaccurate attributions. 42 Still, there is heterogeneity across and within race and ethnicity categories for which analysis cannot account, including multi-racial identities or distinctions within “Other” categories. 43 Arguably, these results are hard to interpret given heterogeneity of the All Other Races group.…”
Section: Discussionmentioning
confidence: 99%
“…Racial and ethnic self-identi cation is also variable, depending on a variety of contextual factors such as macropolitical environment or an individual's age (Mihoko Doyle & Kao, 2007). As such, both individual identities and racial and ethnic categories are constantly shifting and culture dependent (Liebler et al, 2017;Viano & Baker, 2020). This is re ected in how, from 1790 to 2020, the U.S.…”
Section: Discussionmentioning
confidence: 99%
“…How Do Changes in Institutional Categories for Demographic Variables over Time Affect Analyses? When working with institutional data, researchers may need to track how their institutions' social categories have changed over time (Viano and Baker, 2020;Byrd, 2021). Categorizations like gender, race and ethnicity, income, and parental education are not fixed; these categories fluctuate over time, even if slowly.…”
Section: What Theoretical Linkages Exist Between the Constructs And Demographic Variables Of Interest?mentioning
confidence: 99%