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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.
Barreto et al. (Tue,) studied this question.