The 2007 Summer Programme in Data Analysis
is archived below.

York's Summer Program in Data Analysis (SPIDA) is an eight-day series of intensive lectures and workshops designed to train social science researchers in the theory and practice of multilevel [or mixed] models and structural equation models, as they are applied to longitudinal data, typically generated by panel surveys. The Program runs from June 5th to June 13th, 2007.

While the techniques are applicable widely, SPIDA aims to encourage analysis of Statistics Canada's longitudinal surveys, now available at the Research Data Centres in a number of universities across Canada.

The SPIDA program is strongly oriented to the development of working skills in data analysis, as well as providing participants with the necessary statistical background for those skills.

Each day of instruction involves a lecture presentation in the morning and an afternoon computer lab. Lunch time talks provide interesting examples of the application of the techniques being taught. Our goal is to provide participants with the knowledge, techniques and skills to use these methods in their own research.

The SPIDA one-day Symposium will focus on the potential integration of these two modeling approaches and will be held on June 14th, 2007.

SPIDA is funded by the Canadian Initiative on Social Statistics, a co-operative project of the Social Sciences and Humanities Research Council of Canada and Statistics Canada.