Home | Statistical Consulting and Survey Research Unit

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.

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News

Congratulations to Yuling Max Chen on his recent publication in the Journal of the Canadian Health Libraries Association!

The article, titled "Librarian Involvement on Knowledge Synthesis Articles and its Relationship to Article Citation Count and Journal Impact Factor," is an interdisciplinary collaboration with Reference & Subject Librarians Krista Alexander and Katharine Hall from Concordia University.

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

The article, titled "Exploring the Syndemic Impact of COVID-19 and Mental Health on Health Services Utilization among the Adult Ontario Population," represents a collaborative effort 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.

Congratulations to Yuying Huang on her recent publication in Pharmacy. Her article, "The Association between Academic Performance and Entry-to-Practice Milestones within a Co-Operative Education PharmD Program," explores the link between academic assessments, exam success rates, and clinical rotation performance. Collaborating with Ali Syed, Sarah Moroz, John Pugsley, Nancy M. Waite, and Sherilyn K.D. Houle, Yuying used multiple linear regression and backward selection with AIC for model selection. She effectively communicated her findings, resulting in clear and interpretable models.