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NORC at the University Chicago

Kanru Xia

Senior Statistician
Statistics & Data Science
Kanru has expertise in multi-mode and multi-frame survey sample design and weighting.

Kanru is a senior statistician in the Statistics & Data Science department at NORC at the University of Chicago. She has more than 15 years of experience in survey methodology, with expertise in the areas of sampling design and survey weighting and experiences with multi-mode and multi-frame surveys.

Kanru was a lead statistician for AmeriSpeak, NORC’s breakthrough panel-based research platform, and was responsible for overseeing study design, post-survey data adjustments, variance estimation, and survey data analysis for various AmeriSpeak projects. Kanru improved AmeriSpeak’s methodology through the use of big data for propensity modeling and non-response adjustments and compared methods for combining probability and non-probability samples.

Project Contributions

Improving Data Disaggregation Standards for Asian Americans

Developing evidence-based, community-informed recommendations for data collection, analysis, and use

Client:

Robert Wood Johnson Foundation

Survey of Fishing, Hunting & Wildlife-Associated Recreation

Streamlining, economizing, and increasing the reach of a venerable national survey

Client:

U.S. Fish and Wildlife Service, The Association of Fish & Wildlife Agencies

Publications

Research Library & Findings