All Times ET
Keywords: Data Visualization; Survey Data; R Shiny
In this presentation we explore language use trends in the United States by modeling household language, English proficiency, and survey mode of administration in the American Community Survey (2006-2017) and present a longitudinal perspective on the effects of household language on data quality. In order to tell this nuanced story, we employ techniques to manipulate and visualize freely available and reproducible data and analysis through data.census.gov (formerly the American FactFind) and R interfaces. This work is supported through the sociolinguistic framework to understand the role of language in survey research, focusing on the need for non-English language survey assistance to reach increasingly diverse populations. This lightning-presentation is an abridged version of our webinar hosted by the American Association for Public Opinion Research in fall 2020.