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.
Events
Analysis of Survey Data: 101 and Beyond
Though the workshop will not go into mathematical details and proofs, it will provide some reasoning and intuition behind the key formulas used in survey sampling. It will also look at various examples using the statistical software SAS (free to students, faculty and staff at the University of Waterloo). In addition to illustrating basic data analysis techniques, those examples aim to provide guidance on some of the pitfalls of analyzing survey data. Part 3 is a practical hands-on opportunity for participants to conduct basic data analysis using SAS on their own laptop.
This two-day workshop will be held in DC 1568. Registration is free for all members of the university.
Unlock the First Steps to Binary Data Analysis
A binary variable is one that has only two possible outcomes, such as yes/no, success/failure, or 0/1. In this workshop, participants will learn how to estimate and make inferences about binary response probabilities using logistic regression, a powerful tool widely used in various fields such as healthcare, marketing, and social sciences. Registration is free and open to all University of Waterloo faculty, staff, and graduate students.
News
Jeremy VanderDoes Published in Public Health
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.
Yuying Huang Published in Pharmacy
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.
Trang Bui published in Behavioral Research in Accounting
Congratulations to Trang Bui on her recent publication in Behavioral Research in Accounting.
Blog
SCSRU Newsletter Vol. 21, Issue #1 – Winter 2024
SCSRU Newsletter Vol. 21, Issue #1 – Winter 2024
Our New Unit / Name Change | IAP Partnership | Caution! Beware of Bots! | Featured Projects: ***Update this*** | Upcoming Events
SCSRU Newsletter Vol. 20, Issue #1 – Winter 2019
SCSRU Newsletter Vol. 20, Issue #1 – Winter 2019
Crowdsourcing Platforms | 2018 Midterm Elections | Bin There, Done That | Featured Projects: Surveying Local Attitudes Towards Massausaga Snakes | Announcements
SCSRU Newsletter Vol. 19, Issue #2 – Fall 2018
SCSRU Newsletter Vol. 19, Issue #2 – Fall 2018
Data Visualization | Sustainability in the Private Sector | Waterloo Region Matters Survey | Featured Projects: Legalization of Online Gambling, Centre for Education in Mathematics and Computing, Pharmacy Program Evaluation | Announcements