FIRE0041 Basics of register data analysis (1 cr)
Study level:
Postgraduate studies
Grading scale:
Pass - fail
Language:
English, Finnish
Responsible organisation:
Jyväskylä University School of Business and Economics
Curriculum periods:
2026-2027, 2027-2028
Description
- These basic skills are practiced using statistical software Stata.
- The course consists of video lectures and independently completed hands-on exercises on processing register data (the exercises are supported by online tutoring sessions).
Learning outcomes
The student will learn basic skills related to the implementation and processing of register data sets, including:
- Importing and browsing data (e.g., using the data browser, tabulating variable values, sorting data based on variable values, and calculating descriptive statistics of variables).
- Editing data to make it suitable for statistical analysis (e.g., inspecting and editing missing or incorrectly coded variable values, changing variable types, and creating new variables based on existing variables).
- Performing simple statistical analyses (e.g., cross-tabulations, correlation coefficients, and simple OLS regressions).
Additional information
This is an optional course of the study module ‘Introduction to Register-based Research in Finland (5–6 ECTS)’.
Description of prerequisites
Prerequisites (prior qualifications):
- Previous knowledge of quantitative research methods. Basics of data management (preferably using Stata).
- Ability to read articles that have used standard statistical methods (such as regression analyses or other advanced quantitative methods) and interpret the results.
Study materials
Learning materials provided during the course.
Completion methods
Method 1
Description:
The course is completed by taking an exam based on the learning materials and hands-on exercises distributed during the course.
Select all marked parts
Parts of the completion methods
x
Exam (1 cr)
Type:
Exam
Grading scale:
Pass - fail
Language:
English, Finnish