Best practices in collecting online data with Asian, Black, Latino, and White respondents: evidence from the 2016 Collaborative Multiracial Post-election Survey. (2nd January 2018)

• Record Type: Journal Article
• Authors: Barreto, Matt A.; Frasure-Yokley, Lorrie; Vargas, Edward D.; Wong, Janelle
• Is Part Of: Politics, groups, and identities. Volume 6:Number 1(2018)
• Page Start: 171
• Page End: 180
• Publication Date: 2018-01-02
• Subjects: Racial politics -- survey research -- quantitative -- Latino/a politics -- African-American politics -- American politics -- Asian American politics; Identity (Psychology) -- Periodicals; Political psychology -- Periodicals; Sex -- Periodicals; Ethnicity -- Periodicals; Ethnicity; Identity (Psychology); Political psychology; Sex; Periodicals; 320
• DOI: 10.1080/21565503.2017.1419433
• Languages: English
• ISSNs: 2156-5503

Abstract

ABSTRACT: As the U.S. becomes increasingly diverse, new challenges to capturing this diversity emerge for survey researchers studying political attitudes and behavior. Sampling methods are no longer straightforward as simple random-digit-dial. Given the confluence of changing demographics and changing survey technology, we argue that researchers should carefully consider a stratified listed/density quota-sampling approach to multilingual surveys with large racial/ethnic minority samples. We examine the 2016 Collaborative Multiracial Post-election Survey, which implemented this approach with great success. Our approach resulted in collecting 10, 145 completed surveys, in five languages, with large samples of Asian Americans, African-Americans, Latinos, and Whites. We conclude with a set of best practices or principles for online research of racial/ethnic minority populations that we hope will guide future social science research in this domain.