ICAGS organizes a regular seminar on methods, statistics, and research.
Our next seminar will be Thursday, March 1, 2018 @ 12:00.
Resource limitations can impede good research both directly, by limiting what can actually be done, and indirectly, by limiting what can even be imagined. Compute
Canada has resources available that can remove these limits for many social sciences projects.
Join Humanities and Social Sciences Specialist, John Simpson, to find out what resources are available, why you might want to use them, and to begin thinking about how these resources can aid in your current research and enable new research that might not otherwise have seemed possible.
Please join us on Thursday, March 1, 2018 at 12:00pm in Tory 5-15 for this ICAGS Methods Seminar
Missing data is common in social science research. Study participants fail to answer all of the survey questions. Not all participants participate in observational sessions. In longitudinal research, participants drop out of the studies.
There are many modern approaches for handling missing data that include Full Information Maximum Likelihood Estimation, Multiple Imputation with Data Augmentation, and Multiple Imputation with Chained Equations.
More recent research suggests that scholars should include so-called “auxiliary” variables to improve missing data estimation.
What do all of these approaches entail? How can you incorporate modern methods in your own research?
Dr. Adam Galovan, assistant professor in the Department of Human Ecology, will discuss recent advances in missing data estimation and how these can be applied.
Please join us for this methods seminar on Wednesday, September 27, 2017, 3:00pm in Tory 5-15.