Transcript Race/Ethnicity Code Changes A Change Is Coming: New Requirements for Demographic Reporting A briefing on changes in federal student data reporting requirements Wednesday, April.

Race/Ethnicity Code Changes
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A Change Is Coming: New Requirements for
Demographic Reporting
A briefing on changes in federal student data reporting requirements
Wednesday, April 14, 2010
1)
2)
Overview of federal changes: Maryann Ruddock, Chairman of the
TAIR Data Advisory Committee
Overview of THECB reports now and in the future: Susan Brown,
Assistant Commissioner, Planning and Accountability, Texas Higher
Education Coordinating Board
Presented by the Council of Public University Presidents and Chancellors (CPUPC), Independent Colleges
and Universities of Texas (ICUT), the Texas Association of Community Colleges (TACC), and the
Texas Association for Institutional Research (TAIR)
Race/Ethnicity Code Changes
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Why Are We Here?
 Federal government has mandated changes in
race/ethnicity reporting
 The Texas Association for Institutional Research has
tried to provide insight and guidance for institutions
reporting race/ethnicity data
 CPUPC, TACC, and ICUT believe this is an important
issue for the Legislature to know about
 Determine how we can help you
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Federal Background
 Feds first defined racial/ethnic categories in 1977
 Changes mandated by OMB in 1997
 New categories first appeared in 2000 Census
 For educational institutions, published in Federal
Register October 19, 2007
 Required for all educational institutions for 2010
reporting
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Why Making Changes is Important
 Required for federal reporting – no federal student
financial aid if your institution does not report using
new categories
 We look different than we did 20 years ago – ability
to self-identify in multiple categories
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Race versus Ethnicity
 Initially used five categories which combined race
(white, black, American Indian, Asian) with ethnicity
(Hispanic)
 Race – the division of a population distinguished by
physical characteristics
 Ethnicity – the classification of a population that
shares common characteristics, such as religion,
traditions, culture, language and tribal or national
origin
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New Data Collection Categories
 Question 1: Are you Hispanic or Latino? (yes/no)
 Question 2: Please select the racial category or
categories with which you most closely identify.
Check as many as apply.
American Indian or Alaska Native
Asian
Black
Native Hawaiian or Other Pacific Islander
White
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 American Indian or Alaska Native. A person having origins in




any of the original peoples of North and South America (including
Central America), and who maintains a tribal affiliation or
community attachment.
Asian. A person having origins in any of the original peoples of the
Far East, Southeast Asia, or the Indian subcontinent including, for
example, Cambodia, China, India, Japan, Korea, Malaysia, Pakistan,
the Philippine Islands, Thailand, and Vietnam.
Black or African American. A person having origins in any of
the black racial groups of Africa. Terms such as "Haitian" or
"Negro" can be used in addition to "Black or African American."
Native Hawaiian or Other Pacific Islander. A person having
origins in any of the original peoples of Hawaii, Guam, Samoa, or
other Pacific Islands.
White. A person having origins in any of the original peoples of
Europe, the Middle East, or North Africa.
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Why These Categories/Questions
 Growing diversity of our Nation
 Hispanics are the least likely group to identify an
additional race
Therefore, institutions report only aggregate
data on Hispanics, regardless of an additionally
identified racial category (i.e., Hispanic trumps
race) for federal reporting
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New Federal Data Reporting Categories
 (1) Hispanics of any race;
and, for Non-Hispanics only,

(2) American Indian or Alaska Native,

(3) Asian,

(4) Black or African American,

(5) Native Hawaiian or Other Pacific Islander,

(6) White, and

(7) Two or more races.

(8) Non-resident Alien (for reporting students to IPEDS;
determined first) (international students)

(9) Unknown
Race/Ethnicity Code Changes
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Federal and Coordinating Board Reporting
Prior to 2010 Categories
White
57.0%
Black
6.5%
Hispanic
19.2%
American Indian
0.6%
Asian/Pacific Islander
14.7%
Missing
Total = 46,629
2.0%
100.0%
2010 Federal Categories
White only
Black only
Hispanic or Latino of any race
American Indian only
Asian only
Native Hawaiian only
2 or more
Unknown
Total = 46,629
48.1%
5.6%
19.8%
0.3%
12.0%
0.3%
3.2%
10.8%
100.0%
2010 Coordinating Board Categories
White only
48.1%
Black only + 2 or more/1 Black
6.3%
Hispanic or Latino of any race
19.8%
American Indian only
0.3%
Asian only
12.0%
Native Hawaiian only
0.3%
2 or more/excluding Black
2.5%
Unknown
10.8%
Total = 46,629
Data from 2009 Apply Texas for UT Austin
Individuals were asked to supply data by 'prior to 2010' categories and 2010 categories
100.0%
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Current Method
Ethnic Origin
White, Non-Hispanic
Black, Non-Hispanic
Hispanic
Asian/Pacific Islander
Amer. Indian, AK Native
International
Unknown
Total
20,242
1,750
7,269
797
220
323
235
30,836
First-Time
Enrolled
3,106
287
1,231
115
31
63
27
4,860
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New Method – Coordinating Board
New Ethnic Origin
Hispanic or Latino Origin
Not Hispanic or Latino Origin
Not Answered
Total
7,272
22,082
1,482
30,836
Race
Multi-racial
White only
Black only
Hispanic only
Asian only
Amer. Indian/AK Native only
International only
Na. Hawaiian/Other Pac. Islander
Race unknown
Total
114
20,270
1,743
7,249
733
220
127
0
380
30,836
Races reported in Multi-racial
White
Black
Asian
Amer. Indian/AK Native
Na. Hawaiian/Oth. Pac. Is.
International
23
18
79
3
5
103
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Coordinating Board Race/Ethnicity Data Display
White
African American
Multi-racial (1 being African American)
Hispanic (including any race)
Asian
Other
Other Multi-racial
Total
Current
Display
20,242
1,750
na
7,269
797
778
na
30,836
Proposed
Method
20,270
1,743
18
7,272
733
704
96
30,836
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Other Ways to Show Data (Institutional Publications
and Analyses)
 Prorated Distribution
A method for distributing categories of race/ethnicity that assigns an equal
fraction to each one of the individual categories that are selected. Thus,
responses with two groups are assigned half to each group; those with three
groups are assigned one-third to each, etc. There is no “Hispanic trumping”
rule used.
 Multiple Identification Headcount
This method counts all responses in each of the categories selected. The sum of
these percentages, in the presence of multiple race reporting, totals more than
100%. There is no “Hispanic trumping” rule used.
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In order to answer the question: For trend analysis,
what percent of your student body is Black/
White/Hispanic/etc.?
Prior to 2010 Categories
White
57.0%
Black
6.5%
Hispanic
19.2%
American Indian
0.6%
Asian/Pacific Islander
14.7%
Missing
Total = 46,629
2.0%
100.0%
Prorated Distribution
White/White Prorated
Black/Black Prorated
Hispanic/Hispanic Prorated
Am Indian/AI Prorated
Asian/Asian Prorated
Nat Hawaiian/NH Prorated
52.3%
6.1%
16.2%
1.1%
13.0%
0.6%
Unknown
10.8%
Total = 46,629
100.0%
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In order to answer the question: How many of your
students consider themselves to be Black/White/
Hispanic/etc.?
Prior to 2010 Categories
White
57.0%
Black
6.5%
Hispanic
19.2%
American Indian
0.6%
Asian/Pacific Islander
14.7%
Multiple Identification Headcount
White/White + Any Combination 56.8%
Black/Black + Any Combination
6.9%
Hispanic/Hispanic + Any Comb
19.8%
Am Indian/AI + Any Combination
2.1%
Asian/Asian + Any Combination
14.2%
Nat Hawaiian/NH + Any Comb
1.0%
Missing
Unknown
Total = 46,629
2.0%
100.0%
Total = 52,026
10.8%
111.6%
(46,629)
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Trend Data – this page references one way to present
trend data
2010 Categories
Hispanic (regardless of race)
American Indian or Alaska Native
only
Black only
White only
Asian only
Native Hawaiian/Other Pacific
Islander onlyAlien
Nonresident
Unknown
Two or More
Prior to 2010 Categories
Hispanic
American Indian or Alaska Native
Black, non-Hispanic
White, non-Hispanic
Asian or Pacific Islander
Asian or Pacific Islander
Nonresident Alien
Unknown
[‘unknown’ or use bridging methodology
such as prorated distribution]
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Summary
 Changes are:
mandatory,
federally mandated, and
affect all education institutions and the labor
force
 Data presentation formats for the federal
government and the Coordinating Board are
prescribed, but institutions do not yet have a
standard template in place for institutional reports
and publications
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Dr. Maryann Ruddock
Chair, Texas Association for Institutional Research Data Advisory Committee
1 University Station/G1100
Austin, Texas 78712
(512) 471-3833
[email protected]
Ms. Susan Brown
Assistant Commissioner, Planning and Accountability
Texas Higher Education Coordinating Board
1200 E. Anderson Lane
Austin, TX 78752
(512) 427-6153
[email protected]
For background papers on race code changes, please see the Texas Association for Institutional
Research Data Advisory Committee Web site: http://www.texas-air.org/member/dac.php