Statistical Consulting and Training Services
The TCC provides a range of services to both the public and University of Alberta research communities. We offer courtesy consulting sessions to University-affiliated graduate students, research associates, and faculty members. Through referrals to our consultant members, a full range of consulting and training services to support long-term projects and non-affiliated researchers are also available.
Browse our consulting guidelines, services, and fees below.
Guidelines and Common Questions
- Clients are responsible for ensuring that consultation activities do not breach their own ethics requirements or privacy agreements. For example, while you might not be able to share protected data with consultants, it could be acceptable to discuss relevant methods and procedures.
- There is no expectation to include a TCC consultant as an author or research collaborator, although acknowledgements are certainly welcome. For paid consulting work, this decision is again left to the client, although it might be appropriate depending on the nature and depth of the work performed. See more details below.
Our members work as consultants external to the TCC and the Department to offer a full range of statistical consulting and training services to individuals and groups seeking dedicated, long-term, and flexible support. All fees are assessed on a case-by-case basis by the assigned consultant.
Below are examples of the general services a consultant can provide.
- Statistical consulting is a standard service where a consultant advises on statistical matters at any stage of the research process. This might involve commonly used statistical methods or other specialized techniques, depending on the project.
- Basic analysis refers to work performed to analyze a client's data.
- A statistical review requires a consultant to assess the statistical content of academic writing and/or existing literature to provide feedback and suggestions for improvement.
- Project management has a consultant follow the course of a research endeavor and provide statistical support in experimental design, data collection, analysis, result interpretation, and other relevant areas.