30212
Advanced seminar
WiSe 23/24: Key Topics in applied quantitative data analysis
Jan Paul Heisig
Comments
This course is directed at students who already have a background in linear regression and inferential statistics and some familiarity with a standard statistical software package, preferably Stata or R. The goal of the course is to provide students with a deeper understanding of some key issues that tend to receive limited attention in basic statistics training but are very important in applied research, including students’ own quantitative research and master’s thesis projects. The material will be illustrated and rehearsed through in-class programming exercises and assignments. Examples and example solutions will typically be provided in Stata only, but basic support can be provided to R users and R scripts will be accepted for the assignments.
After a recap of the standard linear regression model, we will cover a subset or all of the following topics (the pace of the course will follow a “living syllabus” format that is to some extent adaptive to the prior expertise and interests of participants):
After a recap of the standard linear regression model, we will cover a subset or all of the following topics (the pace of the course will follow a “living syllabus” format that is to some extent adaptive to the prior expertise and interests of participants):
- Null hypothesis significance testing: correct interpretation and common misunderstandings
- Modeling and interpreting interaction effects: common mistakes and how to avoid them
- Control variables: which variables should we control for, what are “bad controls” and why?
- Clustered and multilevel data: potentials, statistical challenges, and how to address them
- Weighting: why and when should we use survey weights?
- Data visualization: some important dos and dont’s
16 Class schedule
Regular appointments
Wed, 2023-10-18 14:00 - 16:00
Wed, 2023-10-25 14:00 - 16:00
Wed, 2023-11-01 14:00 - 16:00
Wed, 2023-11-08 14:00 - 16:00
Wed, 2023-11-15 14:00 - 16:00
Wed, 2023-11-22 14:00 - 16:00
Wed, 2023-11-29 14:00 - 16:00
Wed, 2023-12-06 14:00 - 16:00
Wed, 2023-12-13 14:00 - 16:00
Wed, 2023-12-20 14:00 - 16:00
Wed, 2024-01-10 14:00 - 16:00
Wed, 2024-01-17 14:00 - 16:00
Wed, 2024-01-24 14:00 - 16:00
Wed, 2024-01-31 14:00 - 16:00
Wed, 2024-02-07 14:00 - 16:00
Wed, 2024-02-14 14:00 - 16:00