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.

Events

Thursday, December 5, 2024 9:30 am - 4:00 pm EST (GMT -05:00)

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.

Wednesday, December 11, 2024 9:30 am - 12:00 pm EST (GMT -05:00)

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.

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