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National Asian American Survey (NAAS) Post-Election Survey, [United States], 2016

Resource Type
Dataset : survey data
  • Ramakrishnan, S. Karthick (Subramanian Karthick)
  • Lee, Jennifer
  • Lee, Taeku
  • Wong, Janelle
Other Title
  • Version 1 (Subtitle)
Collective Title
  • National Asian American Survey (NAAS) Series
Publication Date
Publication Place
Ann Arbor, Michigan
  • Inter-University Consortium for Political and Social Research
Funding Reference
  • National Science Foundation
  • Ford Foundation
  • California Immigrant Research Initiative, Office of the President, University of California
  • Wallace H. Coulter Foundation
Free Keywords
Schema: ICPSR
Asian Americans; immigrants; minorities; minority voters; political participation; public opinion; voting behavior
  • Abstract

    The National Asian American Survey (NAAS) Post-Election Survey, 2016 contains nationally representative data from telephone interviews of adult U.S. residents who self-identified as Asian/Asian American, Native Hawaiian or Pacific Islander, White, African American/Black, Hispanic/Latino, and Multiracial. The survey included sizable samples of Asian Americans in 9 Asian national origin groups (Chinese, Filipino, Indian, Vietnamese, Korean, Japanese, Hmong, Cambodian), as well as Native Hawaiian/Pacific Islanders. The survey instrument included questions about immigrant background, social identities, social attitudes, political behavior, and policy attitudes. Demographic information included age, race, language, gender, country of birth, religion, marital status, educational level, employment status, citizenship status, household income, and size of household. The study contains 2 data files, public-use and restricted-use versions of the same dataset (386 variables, 6448 cases).
  • Abstract

    The NAAS is an effort to poll the opinions of Asian Americans and Pacific Islanders. This study solicited these opinions following the 2016 presidential election.
  • Methods

    Variables include 2016 presidential election vote, opinions on current political movements and issues, experiences with and opinions of other races, and experiences with discrimination.
  • Methods

    ICPSR data undergo a confidentiality review and are altered when necessary to limit the risk of disclosure. ICPSR also routinely creates ready-to-go data files along with setups in the major statistical software formats as well as standard codebooks to accompany the data. In addition to these procedures, ICPSR performed the following processing steps for this data collection: Created online analysis version with question text.; Checked for undocumented or out-of-range codes..
  • Abstract


    • DS0: Study-Level Files
    • DS1: Public-Use Data
    • DS2: Restricted-Use Data
Temporal Coverage
  • Time period: 2016
  • Collection date: 2016-11-17--2017-03-02
  • 2016-11-17 / 2017-03-02
Geographic Coverage
  • United States
Sampled Universe
Adult residents of the United States who self-identify as Asian/Asian American, Native Hawaiian or Pacific Islander, White, African American/Black, Hispanic/Latino, and Multiracial. Smallest Geographic Unit: City
The primary sampling strategy was to interview individuals drawn from a random selection of respondents in a national listed sample stratified by race and national origin. An additional sample of Latinx respondents in California was drawn from a random selection of respondents in a listed sample of state residents.
Collection Mode
  • telephone interview
One or more files in this study are not available for download due to special restrictions; consult the study documentation to learn more on how to obtain the data.
Alternative Identifiers
  • 37380 (Type: ICPSR Study Number)

Update Metadata: 2020-01-30 | Issue Number: 2 | Registration Date: 2020-01-30

Ramakrishnan, S. Karthick (Subramanian Karthick); Lee, Jennifer; Lee, Taeku; Wong, Janelle (2020): National Asian American Survey (NAAS) Post-Election Survey, [United States], 2016. Version 1. National Asian American Survey (NAAS) Series. Version: v1. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset.