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4 forms found in the DOM

GET /search

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GET /search

<form method="GET" action="/search"><label class="sr-only" for="site-menu-search">Search Site</label>
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GET https://cma.dragonforms.com/DiverseDaily

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 1. Reports & Data


REPORT: EXISTING COLLEGE, FEDERAL DATA SETS FALL SHORT OF ACCURATELY COUNTING
AMERICAN INDIAN, ALASKA NATIVE STUDENTS

Johnny Jackson
May 15, 2024
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New research reveals shortcomings in how higher education collects, reports, and
analyzes data on Indigenous students and undermines efforts to promote equity by
limiting institutions’ and policymakers’ understanding of the group’s
experiences.

“Layers of Identity: Rethinking American Indian and Alaska Native (AI/AN) Data
Collection in Higher Education,” released by the Institute for Higher Education
Policy (IHEP), examines the efficacy of AI/AN student data collections.




Amanda R. Tachine"For too long, AI/AN students have been overlooked and
undercounted in higher education,” said Amanda R. Tachine, Navajo from Ganado,
Arizona, and Náneesht’ézhí Táchii’nii (Zuni Red Running into Water clan) born
for Tł’izilani (Many Goats clan), IHEP board member, and contributing author of
the research brief.

Tachine said current data collection methods fail to capture the full tapestry
of who AI/AN students are and perpetuates historical harms, enabling present-day
erasure.



IHEP’s research brief noted that the two primary methods used to identify and
count AI/AN individuals in higher education, self-identification and tribal
enrollment verification, each have limitations that can lead to exclusion or
misrepresentation.

Federal definitions of race and ethnicity have not historically captured the
nuances of AI/AN identity, which has led to the undercounting of Hispanic and
multiracial AI/AN students, diminishing the ability of researchers,
policymakers, and Tribal nations to fully understand trends among Indigenous
students. New standards from the Office of Management and Budget (OMB) announced
in March 2024 are expected to improve the collection of data on AI/AN
populations, particularly for the categorization of AI/AN students with Hispanic
ancestry.






Layers of Identity urges shifts in data collection practices to better
understand AI/AN student identities and experiences, such as: 1.) building
strong partnerships with Tribal leaders and researchers to design inclusive,
culturally responsive data collection methods; 2.) collecting Tribal affiliation
data, oversampling AI/AN-student populations, and incorporating Indigenous data
collection methods; and 3.) collaborate with Indigenous leaders and Tribes when
implementing OMB’s revised race and ethnicity standard.


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