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Speaker: Kristen Olson, University of Nebraska-Lincoln
Survey research is in flux. As response rates decline, survey costs rise, new data sources become available for sample frames, survey data are increasingly linking to administrative data sources, technological changes shift how data are collected, and trust and legitimacy in the scientific enterprise are under attack, survey researchers are examining what and how inferences are made about populations of interest. At the same time, time-tested approaches of collecting data persist and remain important tools for understanding populations of interest.
In this webinar, Kristen Olson (University of Nebraska-Lincoln) will examine shifts in the landscape of survey methods and survey statistics research from multiple perspectives, including new and emerging data sources and changes among more traditional methods.
First, it will provide an overview of the changing nature of survey methods and statistics research over time, including changes in modes, types of data sources, analytic approaches, methods of inference, and other important features of articles published in major survey methods-focused outlets.
Second, Professor Olson will report on changes in uptake of traditional modes of data collection, including results from a large-scale meta-analysis of mixed-mode web-and-mail surveys, and other sources.
Finally, the presentation will explore what these new technologies and data sources mean for future conduct of, research about, and training in survey methods, including implications for survey costs.
About the speaker
Kristen Olson, Ph.D. is the Leland J. and Dorothy H. Olson Professor in Sociology and Director of the Bureau of Sociological Research at the University of Nebraska-Lincoln.
Dr. Olson’s research focuses on mixed-mode surveys, survey costs, questionnaire design, interviewer effects, the intersection of nonresponse and measurement errors, and within-household selection in self-administered surveys.
She was the lead editor on the volume “Interviewer Effects from a Total Survey Error Perspective” (CRC Press, 2020) and chaired the AAPOR Task Force on Transitions from Telephone Surveys to Self-Administered and Mixed Mode Surveys.
She recently finished a four-year term as the Editor-in-Chief of the Journal of Survey Statistics and Methodology.
She is a fellow of the American Statistical Association, the American Association for the Advancement of Science, and the Midwest Association for Public Opinion Research.
She has an M.S. in survey methodology from the University of Maryland and a Ph.D. in survey methodology from the University of Michigan.
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