York University students: $45.20 per course
York University faculty and staff: $90.40 per course
Other post-secondary full-time students: $90.40 per course
External participants: $397.76 per course
Course fees must be paid at the time of registration.
See the registration form for payment options.
Refunds are available upon three business days' notice prior to the course start date and are subject to an administrative fee.
Please review our policy regarding refunds here.
You can register for courses by completing the on-line registration form.
To register in person (weekdays, from 9:00am to 12:00pm or 2:00pm to 4:00pm), please see:
Technology Enhanced Learning (TEL) Building
To register by mail, print a blank registration form, complete, and send to:
Institute for Social Research
Technology Enhanced Learning Building
4700 Keele Street
Toronto, ON M3J 1P3
You may also fax a completed registration form to: 416-736-5749
Certificate of Completion
Available on request, full attendance is required.
A $5.65 administrative fee (including HST) applies,
for each certificate requested.
Additional information regarding registration:
please telephone 416-736-5061, weekdays,
from 9:00am to 12:00pm or 2:00pm to 4:00pm
Directions to York University (Keele Campus), building and parking lot locations click here. For additional information on parking click here.
Ryan Barnhart is a PhD candidate in Psychology at York University with specialization in Quantitative Methods. His research interests and statistical work have focused on longitudinal data analysis using multilevel modeling and generalized linear multilevel modeling. This work has helped Mr. Barnhart develop a multi-platform approach to using statistical software, including SAS, STATA, R and SPSS.
Professor Robert Cribbie is a Professor in the Department of Psychology at York University and the Joint Coordinator with Professor David Flora of the Institute for Social Research’s Statistical Consulting Service. He received his PhD in Quantitative Psychology from the University of Manitoba. His research interests include multiple comparison procedures, robust ANOVA strategies, and equivalence testing.
Professor Bryn Greer-Wootten is Professor Emeritus in Environmental Studies and Professor Emeritus of Geography at York University. In 2002 he joined the staff in the Statistical Consulting Service, where he is currently an Associate Coordinator, and in 2004 was appointed an Associate Director of ISR. He has taught and carried out quantitative and qualitative research, with a particular interest in survey research, especially for environmental and social policy.
Matthew Sigal is a doctoral student in the Quantitative Methods area in Psychology. He is a member of Dr. Michael Friendly's lab and is particularly interested in methods of data visualization, multilevel and structural equation modeling, and alternative modeling strategies within the framework of survival analysis. He has been a Teaching Assistant for both undergraduate and graduate statistics courses, and will be teaching an introductory statistics course this winter.
Carrie Smith is a PhD Candidate in Psychology at York University specializing in Quantitative Methods. She received her MA in Psychology at York, and BASc in Engineering at the University of Toronto. Her research interests include data visualization and developing robust methods of statistical analysis appropriate for behavioural science data. She has been using R for statistical computing in her research and consulting for several years.
Statistical Consulting Service (SCS)
The Institute for Social Research's Statistical Consulting Service provides consultation on a broad range of statistical problems and on the use of computers for statistical analysis. Its services extend beyond the social sciences to other disciplines that make use of statistics. Consultation is available to assist in research design, data collection, data analysis, statistical computing and the presentation of statistical material.
Consultation is provided by a group of faculty drawn from York University's Departments of Sociology, Psychology, Geography, and Mathematics and Statistics, in conjunction with full-time professional staff at ISR. The faculty and staff have extensive experience with all forms of statistical analysis. Topics for which assistance is available include regression analysis, multivariate analysis, stochastic processes, probability theory, exploratory data analysis, scaling and cluster analysis, analysis of categorical data, structural equation modeling, survey data and longitudinal data, experimental design, survey sampling, and statistical computing.
Three times a year, the Statistical Consulting Service offers short courses on various aspects of statistics and statistical computing, including regular introductions to the SPSS and SAS statistical packages. Recent course offerings have included regression diagnostics, boot-strapping techniques, an introduction to the AMOS module in SPSS, graphical methods for categorical data, confirmatory factor analysis, model-based approaches to cluster analysis, introduction to the R programming language, and visual methods for statistical data analysis.
The Statistical Consulting Service maintains a regular schedule of office hours during the academic year. The Service primarily serves the York University community; for others, consultation is available on a fee-for-service basis. Please go to the Institute's web site at www.isr.yorku.ca/scs to make appointments online with SCS consultants.