Student Right-To-Know Presentation

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Transcript Student Right-To-Know Presentation

New Federal Guidelines for
Collection of Ethnicity Data for
Employees and Students
Patrick Perry, Vice Chancellor
Technology, Research & Information
Systems Division (TRIS)
Consider Person A:
 Born
in Cypress, CA, Attended West
HS
 Father:
50% Black/AfrAm
 25% Chinese
 25% Native American

Consider Person A:
 Mother:
50% Thai
 25% Chinese
 25% Dutch Caucasian

Making Person A:
 25%
Chinese
 25% Thai
 25% Black/AfrAm
 12.5% Native American
 12.5% Dutch Caucasian
 Refers
to himself as “Cablinasian”
(Caucasian/Black/Indian/Asian)
Person A
 Then
married a Swede and had two
children, making each of them:
56.25% Caucasian (9/16)
 12.5% Chinese (1/8)
 12.5% Thai (1/8)
 12.5% Black.Afr/Am (1/8)
 6.25% Native American (1/16)

So if you are Person A (or his
kids)…
 Using
the “Old Method” of race/eth
collection form…what do you check?
Consider Person B:
 Born
in Hawaii
 Father:

100% Black, African
 Mother:

100% White, Kansan
 Parents
met in a Russian class
Consider Person B:
 Parents
divorced at age 2
 Mother remarried an Indonesian
student, and when Suharto came to
power, family was forced to move to
Jakarta
 At age 10, returned to Hawaii and lived
with white grandparents until leaving
for college in California
Consider Person B:
 Recalls
“…that my father looked
nothing like the people around me—
that he was black as pitch, my mother
white as milk—barely registered in my
mind” and
Consider Person B:
 “…the
opportunity that Hawaii
offered—to experience a variety of
cultures in a climate of mutual
respect—became an integral part of my
world view, and a basis for the values
that I hold most dear.“
So if you are Person B…
 Using
the “Old Method” of race/eth
collection form…what do you check?
Persons A and B
 Are
two of the most recognizable
people on the planet today.
We know Person A as:
 The
guy you don’t want to be paired
with on the golf course on Sunday.
We know Person B as:
 Mister
President.
However…
 We
all know to judge a man not by the
color of his skin, but by the content of
his character…

or
 Never
judge a man by how well he
drives off the tee, but by the accuracy of
his short game.
And thus…
 Is
the intro to where data collection and
reality cross.
 CLICKERS!!!
Race and Ethnicity
 “Race”
and “Ethnicity” terminology are
used interchangeably, yet need to be
distinguished.
Ethnicity and Race
 Ethnicity:
represents social groups with
a shared history, sense of identity,
geography, and cultural roots, which
may occur despite racial difference
 Race:
represents a population
considered distinct based on physical
characteristics
Federal Race/Eth Data
Collection
 1977:
Race/Ethnicity Standards set by
Feds
 Usage:

Enforcement of civil rights laws: equal
access in housing, employment, education
 Collection:

Census, surveys, admin forms
(housing/education apps), medical
research
Recent History of
Race/Ethnicity Data Collection
 In
response to criticism that the 1977
race/ethnic standards did not reflect
the diversity of the nation’s current
population, the Federal Office of
Management and Budget (OMB)
initiated a comprehensive review in
1993.
History:
 The
review included:
organizing a workshop to address the
issues by the National Academy of Science,
 convening four public hearings, and
 appointing an Interagency Committee for
the Review of Racial and Ethnic Standards,
which later developed a research agenda
and conducted several research studies.

History
 The
result of the Committee's efforts
was a report describing recommended
changes with most of those
recommendations being accepted by
the OMB in its 1997 Standards.
 1997 Report: “Revisions to the
Standards for the Classification of
Federal Data on Race and Ethnicity”
History
 On
October 19, 2007, the U.S.
Department of Education posted:

"Final Guidance on Maintaining,
Collecting, and Reporting Racial and
Ethnic Data to the U.S. Department of
Education“ to implement OMB’s 1997
Standards.
And it said:
 Two
questions must be used when
collecting ethnicity/race.
Question One:
 Whether
the respondent is:
“Hispanic or Latino or Spanish Origin” or
 “Not Hispanic or Latino or Spanish
Origin”

(The term “Hispanic or Latino or Spanish
Origin” is defined as a person of Cuban,
Mexican, Puerto Rican, South or Central
American, or other Spanish culture or origin,
regardless of race).
Question Two:
 Whether
the respondent is from one or
more races from the following list:
American Indian or Alaska Native
 Asian
 Black or African American
 Native Hawaiian or Other Pacific Islander
 White

But Wait…there’s more:
 CA

Government Code Sec. 8310.5:
“…Any state agency, board, or commission
which…collects demographic data…shall
use separate collection categories and
tabulations for each major Asian and
Pacific Islander group, including, but not
limited to, Chinese, Japanese, Filipino,
Korean, Vietnamese, Asian Indian,
Hawaiian, Guamanian, Samoan, Laotian,
and Cambodian.”
CCC System
 Has
historically collected:
“Mexican/Mexican-American/Chicano”,
 “Central American”,
 “South American” and
 “Hispanic-Other”

Federal guidelines
 Say
States or systems my collect more
granular detail than the 2+5 format…as
long as they all roll up into the 2+5
categories
 Ethnicity
rollup “map” created to
satisfy both requirements
The result:
 The
new 2-question method of
collecting ethnicity/race in the CCC
system
 Meets system historical, State and
Federal requirements for
collection/rollup
Three caveats (per Feds):
 “decline
to state” is not an allowable
option—no checkbox
 Question must not be framed as being
“optional”, however no controls can
exist to disallow a student/employee
from simply not responding.
 “Check One or More” is the question
for question #2.
Reporting
 Is
different than collection.
 Populations (students, staff) will now
have a [one : many] collection
relationship between person and
race/ethnicity
 Reporting seeks a [one : one]
relationship so that things all add up to
100%
Reporting
 Federal
Reporting Categories:
Current IPEDS Reporting Categories
1)
2)
3)
4)
5)
6)
7)
Nonresident Alien
Race and Ethnicity unknown
Black, non-Hispanic
American Indian/Alaskan Native
Asian/Pacific Islander
Hispanic
White, non-Hispanic
New IPEDS Reporting Categories
1) Nonresident Alien
2) Race and Ethnicity unknown
3) Hispanics of any race
For non-Hispanics only:
4) American Indian or Alaska Native
5) Asian
6) Black or African American
7) Native Hawaiian or Other Pacific
Islander
8) White
9) Two or more races
Federal “Trump Rules”
 Nonresident
Aliens (collected
elsewhere) of any race are reported as
nonresident aliens.
 If:
[you fail to answer both questions] OR
 [you fail to answer Q1 (Hispanic: Y/N),
regardless of what you answered in Q2]

you are “unknown”.
Federal “Trump Rules”
 If
you answered “Yes” to Q1 (Hispanic:
Y/N), you are “Hispanic”.
Regardless of what you answered in Q2
 Regardless of whether you even answered
Q2

Federal “Trump Rules”
 If
you answered “No” to Q1 and do not
answer Q2, you are “unknown”.
 If you answered “No’ to Q1 and check
only one race box in Q2, you are
considered as only that race you
checked in Q2.
Federal “Trump Rules”
 If
you answered “No” to Q1 and check
more than one race box in Q2, you are
considered as “Two or More Races”.

Multiple-races are considered equally
Self-identification
 Postsecondary
students and
faculty/staff will all be asked to selfidentify
 Non-respondents will not be identified
by third parties nor will they be
interpolated
New Collection
 CLICKERS!
Timeline
 To
be implemented in MIS Summer 2009
 Colleges have been given guidelines and lead
time to change forms and data collections
 Resurveying optional
 Old MIS race/eth codes remapped forward
 All granular data will be kept

We can choose other trumping algorithms for
various State/system/local purposes
What Will Happen?
 2000
Census: first collection of multirace in 2 question format
 In CA:

4.7% identified as 2 or more races
 For

children <5, this figure was 8.4%
Largest counts in urban areas
CA Census 2000
 46%
of Native Americans also identified
as Latino
 22% of Whites identify also with Latino
 9% of Pacific Islanders
 4% of Black/AfrAmer
 1% of Asians
All figures higher for people <18
 Trump rules will lower counts for all these

Latino & White issue
 There
will be a large number of “Latino
& White” responses

Trump rule says these are Latinos
Are they really full Latinos associating
their race with whites, or
 Are they the offspring of mixed-race Latino
& White parentage?

Other issues
 Historical
counts and percentages will
all be non-continuous
New “series” will be started
 Some new codes not captured previously
 Some old codes map into new codes
 Hispanic likely to be higher under new
counts
 Will be very difficult to draw valid time series
conclusions

Other issues
 More

prominent in diverse states
CA, AZ, NM, TX, FL, NY, HI
My recent journeys…
California, 1950’s
 Looked

a lot like “Grease”
90% white
California, 2000’s
 Looks
a lot more like “High School
Musical”
 East
HS
Interestingly enough…
 Corbin
Bleu (aka “Chad”) in HSM:
Mother: Italian
 Father: Jamacian

Ironically enough…
 Vanessa
Hudgens (aka Gabriella
Montez) in HSM:
Father: Irish & Native American
 Mother: Filipina

Finally
 This
will cause some momentary havoc.
 But…it’s
a change that had to be made
because…this is reality.
 We
should welcome the opportunity for
all people to self-identify and be
recognized as who they really are.
Thank You!
 Questions