FIRE0043 Advanced Register Data Analysis (1 cr)
Cooperation network course
Network: FIRE network for register-based research
Available for: Doctoral studies, Master's students, Bachelor's students and Bachelor's and Master's students
This course is offered through the Network for FIRE. These studies are available for bachelor's, master's and doctoral degree students studying in the University of Jyväskylä.
Grading scale:
Pass - fail
Description
These skills are practiced using statistical software Stata.
The course consists of video lectures and independently completed hands-on exercises (the exercises are supported by online tutoring sessions).
Learning outcomes
After the course, the student understands principles of efficient programming for register data. This includes organization of codes, application of macros and loops, and other higher-level automation. Students know how to organize their own analysis efficiently, clearly and in a replicable way. Students can utilize loops in their coding.
Additional information
This is an optional course of the study module: ‘Introduction to Register-based Research in Finland (5-6 ECT)’.
Description of prerequisites
Previous knowledge of quantitative research methods. Ability to read articles that have used standard statistical analyses (such as regression analyses or other more advanced quantitative methods) and interpret the results. Basics of data management (preferably in Stata).
For this advanced register data analysis course students should have completed the course, ‘Linking register datasets’ (which is also part of module IV).