the need for disaggregated and cross-tabulated data in higher education policymaking

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The Need for Disaggregated and Cross- Tabulated Data in Higher Education Policymaking Robert T. Teranishi Associate Professor New York University National Commission on Asian American and Pacific Islander Research in Education

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The Need for Disaggregated and Cross-Tabulated Data in Higher Education Policymaking. Robert T. Teranishi Associate Professor New York University. National Commission on Asian American and Pacific Islander Research in Education. The CARE Project. - PowerPoint PPT Presentation

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Page 1: The Need for Disaggregated and Cross-Tabulated Data in Higher Education Policymaking

The Need for Disaggregated and Cross-Tabulated Data in Higher Education Policymaking

Robert T. TeranishiAssociate ProfessorNew York University

National Commission on Asian American and Pacific Islander Research in Education

Page 2: The Need for Disaggregated and Cross-Tabulated Data in Higher Education Policymaking

The CARE Project

The purpose of the CARE Project is to conduct applied research that informs an actionable and sustainable discussion about the needs and challenges of the AAPI student population.

Examine the educational outcomes of AAPIs, placing them in a broader context of the social conditions and institutional contexts through which they occur.

Page 3: The Need for Disaggregated and Cross-Tabulated Data in Higher Education Policymaking

AAPIs are often referred to as a “non-minority” minority population.

“Whites and Asian Americans are jumbled together in a way that is making the distinctions between the groups less obvious” (Massey, 2008).

Perceptions of the AAPI Community

Page 4: The Need for Disaggregated and Cross-Tabulated Data in Higher Education Policymaking

Purpose of the Presentation

Highlight how more refined data for AAPIs captures more nuanced aspects of how race operates in contemporary society.

Consider the ways in which our understanding of AAPIs can be enhanced by accounting for the broader contexts of the social conditions and institutional settings that contribute to racial stratification.

Page 5: The Need for Disaggregated and Cross-Tabulated Data in Higher Education Policymaking

Implications of data limitations for how we characterize opportunity structures for AAPIs

o Community and neighborhood conditions

o Access to institutional resources

o Issues of racial segregation and isolation

Case Study #1

Page 6: The Need for Disaggregated and Cross-Tabulated Data in Higher Education Policymaking

BROOKLYN, NEW YORKChinese American Community

Percent of PopulationForeign-Born

Percent of Children Who Speak English Less than Very Well

76.8%

63.5%

WESTMINSTER, CALIFORNIAVietnamese American Community

Percent of Adults withHigh School or Less

Percent of Adults Who Speak English Less than Very Well

54.5%

67.2%

WAI’ANAE, HAWAI’INative Hawai’ian Community

Percent of Adults withHigh School or Less

Percent of FamiliesWith Children That Are Below Poverty

78.5%

32.1%

ST. PAUL, MINNESOTAHmong American Community

Percent of Adults withHigh School or Less

Percent of HouseholdsWith 6 or More Persons

65.4%

63.5%

Social Indicators of Marginalized and Vulnerable AAPI Sub-Groups

Page 7: The Need for Disaggregated and Cross-Tabulated Data in Higher Education Policymaking

Indices of Dissimilarity for Selected AAPI Ethnic Enclaves, 2000

San Francisco/Daly City, CA

Los Angeles/Long Beach, CA

Orange County, CA

Queens, NY

Source: R. Teranishi, Asians in the Ivory Tower, 2010.

Page 8: The Need for Disaggregated and Cross-Tabulated Data in Higher Education Policymaking

Four-Year High School Dropout Rate Statewide and for AAPI Students in Oakland Unified School District, 2006-07

Oakland USD

Source: R. Teranishi, Asians in the Ivory Tower, 2010.

Page 9: The Need for Disaggregated and Cross-Tabulated Data in Higher Education Policymaking

Implications of data limitations for how we characterize AAPI participation in higher education

o Bi-modal distribution of AAPIs in higher education

o Stratification of college opportunities

o The confounding with “others”

Case Study #2

Page 10: The Need for Disaggregated and Cross-Tabulated Data in Higher Education Policymaking

Bi-Modal Distribution of Education Outcomes for AAPIs

Mean Score

AAPIs(“outliers”)

Whites (“normal”)

Mean Score (%)(Standard Deviation)

Whites AAPIs

SAT I Verbal 528 507(All Takers, 2004) (100) (121)

SAT I Math 531 577(All Takers, 2004) (102) (123)

Source: R. Teranishi, Asians in the Ivory Tower, 2010.

Page 11: The Need for Disaggregated and Cross-Tabulated Data in Higher Education Policymaking

Distribution of SAT Math Scores, 2004

Source: R. Teranishi, Asians in the Ivory Tower, 2010.

Page 12: The Need for Disaggregated and Cross-Tabulated Data in Higher Education Policymaking

Asian, Asian American, or Pacific Islander SAT Verbal Scores by Parental Education and Parental Income, 2004

Source: R. Teranishi, Asians in the Ivory Tower, 2010.

Page 13: The Need for Disaggregated and Cross-Tabulated Data in Higher Education Policymaking

SAT Scores of Asians, Asian Americans, or Pacific Islanders by the Location of High School Attended, 2004

502

560

535

650

300 350 400 450 500 550 600 650 700

SAT I Verbal

SAT I Math

Outside the U.S. In the U.S.

Source: R. Teranishi, Asians in the Ivory Tower, 2010.

Page 14: The Need for Disaggregated and Cross-Tabulated Data in Higher Education Policymaking

Doctorates Conferred in the U.S. by Race, Citizenship, and Residency Status, 2000

Source: R. Teranishi, Asians in the Ivory Tower, 2010.

Page 15: The Need for Disaggregated and Cross-Tabulated Data in Higher Education Policymaking

Change in AAPI College Enrollment by Institutional Type, 1980-2005

Source: R. Teranishi, Asians in the Ivory Tower, 2010.

Page 16: The Need for Disaggregated and Cross-Tabulated Data in Higher Education Policymaking

Bachelor’s Degree or MoreHigh School or Less

Asian American

Pacific Islander

Asian American

Pacific Islander

Note: 25 years and older.

Source: CARE, Federal Higher Education Policy and the AAPI Community, 2010.

Educational Attainment for AAPIs by Ethnicity, 2006-2008

Page 17: The Need for Disaggregated and Cross-Tabulated Data in Higher Education Policymaking

Disaggregated data is imperative for raising awareness about the wide range of social conditions and educational outcomes among AAPIs.

Disaggregated data enables the researchers, policymaker, educators, and practitioners to identify specific needs for AAPI students and target resources where it can be most effective.

Disaggregated data will help reduce the extent to which AAPIs are being confounded with others.

Conclusion

Page 18: The Need for Disaggregated and Cross-Tabulated Data in Higher Education Policymaking

Robert TeranishiNew York University

(212)[email protected]

CARE Project: http://www.nyu.edu/projects/care

an extensive annotated bibliography

a list of activities by the commission related to the project

research that examines key trends related to AAPIs in education

National Commission on Asian American and Pacific Islander Research in Education