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American Association for Public Opinion Research

Webinar Details

Language and survey data quality: Data Science and Sociolinguistic Approaches

Heather Kitada Smalley and Mandy Sha
Thursday, October 8, 2020
1:00pm Eastern Time

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About This Course:

Through an interactive data visualization demo, this Webinar applies a quantitative approach to language by modeling household language, English proficiency, and mode in the American Community Survey (2006-2017) to present a longitudinal perspective on the effects of household language on data quality. We provide data science education by demonstrating techniques to manipulate and visualize freely available and reproducible data and analysis through data.census.gov (formerly the American FactFinder) and R interfaces. To cross-fertilize quantitative and qualitative approaches, we also introduce a sociolinguistic framework that leverages qualitative insights to understand the role of language in survey research, focusing on the need for non-English language survey assistance to reach increasingly diverse populations.

Learning objectives
  • Approach language and survey data quality using quantitative methods.
  • Learn data science and visualization techniques through R.
  • Understand the role of language in survey research through both qualitative and quantitative lenses.
Webinar Level:
About the Instructor(s):

EmilyGeisen.pngHeather Kitada Smalley, PhD, Willamette University, is an applied statistician and an expert in data visualization using R and data science education. Her research in public opinion and survey statistics has focused on developing and improving methodology for bias estimation and correction.

mariel-(1).jpgMandy Sha, MA, www.mandysha.com, is a PMP® research director who integrates sociolinguistics to advance survey research. She is the lead editor of The Essential Role of Language in Survey Research (RTI Press, 2020), coauthored The Sociolinguistics of Survey Translation (Routledge, 2019), and edited Survey Practice’s special issue on cross-cultural and multilingual research.