Data disaggregation and its discontents: discourses of civil rights, efficiency and ethnic registry

Fu, Shuang; King, Kendall A.

doi:10.1080/01596306.2019.1602507

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…We also acknowledge that there may be compelling reasons (e.g., coalition building, genetic association studies, resources allocation) to aggregate ethnic data into larger groups. Further, there are also social forces and political interests countering various proposals of racial data disaggregation (Fu & King, 2019; Teranishi et al, 2014). As Hattam (2005) succinctly pointed out, “Put simply, whether Hispanics identify as white or as people of color may shift the balance of power between the Democratic and Republican Parties” (p. 68).…”

Section: Discussionmentioning

confidence: 99%

“…Many districts already collect demographic data, so it should not be a stretch on resources to collect subgroup data. Notwithstanding federally mandated requirements, some districts already collect this data (Fu & King, 2019). Although the data may not be published, gifted program administrators and researchers should carefully review these data over time to see if there are emerging trends of interest within and among subpopulations and whether changes to identification policies or service delivery models need to be adjusted.…”

Section: Implications For Policy and Service Deliverymentioning

confidence: 99%

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A Renewed Call for Disaggregation of Racial and Ethnic Data: Advancing Scientific Rigor and Equity in Gifted and Talented Education Research

Yeung

Mun

2022

Journal for the Education of the Gifted

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Researchers in gifted and talented education (GATE) have increasingly taken on the role of advocating equity and access for minoritized populations. However, subgroups of racially and ethnically diverse students are rarely disaggregated from monolithic racial and ethnic categories. Studies on academic achievement of Asian American and White students, based on aggregated data, risk straying from scientific rigor and may lead to conclusions that further contribute to the masking of inequities and disparities of nested subgroups. The roots of this phenomenon can be traced to the practice of racial/ethnic data aggregation from the national level on down. We contend that fair and equitable access should be afforded to all students and call for the normalization of racial/ethnic data disaggregation in GATE research to increase scientific rigor in our scholarship and unmask intra-ethnic inequities.

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Section: Discussionmentioning

confidence: 99%

Section: Implications For Policy and Service Deliverymentioning

confidence: 99%