This intensive workshop deals with the workflow of data analysis. Workflow encompasses the entire process of scientific research: planning, documenting, and organizing your work; creating, labeling, naming, and verifying variables; performing and presenting statistical analyses; preserving your work; and, critically, producing replicable results. Most classes in statistics focus on estimating and interpreting models. In "real world" research, these activities often involve less than 10% of the total work. This workshop is about the other 90% of the work.
Scott Long, Distinguished Professor of Sociology and Statistics, Indiana University
Mon 17th, June 2013 to Fri 21st, June 2013 | 9:00am to 5:00pm
University of Massachusetts, Amherst.