Western’s Data Analytics Help Service offers statistical consulting and workshops on software and data analysis. The services are brought to you by the Department of Statistical and Actuarial Sciences in cooperation with Western Libraries and with generous support from the Faculty of Science.
Location: The Map and Data Centre – the Collaborative Technology Room 17A on the ground floor of the D.B. Weldon Library.
Hours: Consulting hours for the January to April 2016 term:
- Monday 12-4pm
- Tuesday 12-4pm
- Wednesday 12-4pm
- Thursday 11am-3pm
Priority will be given to those with scheduled appointments. However, consultants will be happy to meet with you on a drop-in basis when they are not with another client.
Booking a Data Analytics Help Service appointment:
Log in to the scheduling form (https://www.lib.uwo.ca/madgic/statistics) with your Western userid and password. Fill in as many fields of the form as possible.
Contact the Data Analytics Help Service:
- Send an email to email@example.com for general inquiries, or log in to the scheduling form (https://www.lib.uwo.ca/madgic/statistics) with your Western userid and password to book an appointment.
- Researchers seeking more extensive statistical consulting services, or customized workshops for students, faculty or staff can contact Dr. David Bellhouse (firstname.lastname@example.org) or Dr. Bethany White (email@example.com) to inquire about arrangements such as fee-for-service projects or collaborative research with faculty and/or graduate students in the Department of Statistical and Actuarial Sciences.
How is the service intended to assist users?
- Planning for appropriate sampling and study designs and the choice of appropriate statistical methodology (e.g., I want to study this subject – how should I conduct the study and conduct my statistical analysis to address my research question?);
- Data analysis (e.g., What summaries and procedures should I use, or how do I produce them?);
- Interpretation of results (e.g., I’ve done this analysis – what does it mean?);
- Software selection and use (e.g., Would it be best to use R, SPSS or SAS for the analysis I need to do? How do I get started?)