Welcome to the Statistical Consulting and Survey Research Unit

Serving the University of Waterloo community and beyond since 1999

The Statistical Consulting and Survey Research Unit (SCSRU) is a joint unit at the University of Waterloo comprised of the former Statistical Consulting and Collaborative Research Unit and the Survey Research Centre. The SCSRU offers the same services as its predecessors and is a cornerstone to excellence in survey research and statistical analysis at the University of Waterloo.

The SCSRU provides statistical advice to those working on research problems, in addition to offering a full suite of survey research services that include survey methodology and sampling frame consultation, questionnaire design, programming, data collection (telephone, web, mail, face-to-face, and mixed mode surveys), sample weights, and data analysis. SCSRU services support clients to get accurate, meaningful results.

Our mission is to provide high-quality statistical advice and survey research services to the University of Waterloo Community and external institutions and organizations through our two service streams: Statistical Consulting and Survey Research.

News

Wednesday, June 4, 2025

Xisi Zhang published in Vaccine

Congratulations to Xisi Zhang on his recent publication in Vaccine.

The article titled "Understanding the Shift in COVID-19 Vaccine Hesitancy and Its Associated Factors for Primary and Booster Doses Among University Students: A Cross-Sectional Study" represents an interdisciplinary collaboration among Bara' Abdallah Al Shurman, Shannon E. Majowicz, and Zahid A. Butt from the School of Public Health Sciences, along with Kelly Grindrod from the School of Pharmacy.

Congratulations to Jeremy VanderDoes on his recent publication in BMJ Public Health

The article titled "Impact of the COVID-19 Pandemic on health services utilisation and mortality in Ontario, Canada: an interrupted time series analysis" is an interdisciplinary collaboration with Kiran Saqib, Vivek Goel, and Zahid A. Butt from the School of Public Health Sciences, as well as Joel A. Dubin from the Department of Statistics and Actuarial Science.

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