30235
Lehrforschungsprojekt
WiSe 21/22: Quantitative Cross-National Comparative Research
Céline Teney
Information for students
ACHTUNG! Diese LV wird in Präsenz durchgeführt, siehe Raumangaben.
CAUTION! This course will take place in presence. Check the location info.
CAUTION! This course will take place in presence. Check the location info.
Comments
In this research placement, we will focus on statistical methods available for the analysis of cross-national differences. We will first discuss the challenges and limitations of quantitative cross-national comparative research. We will then learn four analytical strategies: (1) Cluster-Robust Standard Errors; (2) Separate model for each country; (3) Country Fixed Effects Model and (4) Country Random Effects Model. Students will be able to deepen their knowledge of each analytical strategy with a practical application with STATA based on the European Social Survey (Round 9). In the second part of the seminar, students will carry out their own research project by analysing cross-national data from the European Social Survey with STATA. The aims of this research placement are: (1) to understand the challenges of cross-national comparative analysis; (2) to get to learn statistical methods for cross-national comparative analysis; (3) to conduct cross-national comparative analysis with own research question based on the ESS data and (4) to interpret and present own statistical results.
Please note: Basic knowledge of applied statistics and of STATA is a prerequisite for participation and indispensable for the successful completion of the course. close
Please note: Basic knowledge of applied statistics and of STATA is a prerequisite for participation and indispensable for the successful completion of the course. close
Suggested reading
References:
Andreß, HJ., Fetchenhauer, D. & Meulemann, H. Cross-National Comparative Research—Analytical Strategies, Results, and Explanations. Köln Z Soziol 71, 1–28 (2019).
Bryan, M. & Jenkins, S. (2016): Multilevel modelling of country effects: A cautionary tale, ESR, 32, 3-22.
Schmidt-Catran, A.W., Fairbrother, M. & Andreß, HJ. Multilevel Models for the Analysis of Comparative Survey Data: Common Problems and Some Solutions. Köln Z Soziol 71, 99–128 (2019). close
Andreß, HJ., Fetchenhauer, D. & Meulemann, H. Cross-National Comparative Research—Analytical Strategies, Results, and Explanations. Köln Z Soziol 71, 1–28 (2019).
Bryan, M. & Jenkins, S. (2016): Multilevel modelling of country effects: A cautionary tale, ESR, 32, 3-22.
Schmidt-Catran, A.W., Fairbrother, M. & Andreß, HJ. Multilevel Models for the Analysis of Comparative Survey Data: Common Problems and Some Solutions. Köln Z Soziol 71, 99–128 (2019). close
16 Class schedule
Regular appointments
Tue, 2021-10-19 12:00 - 16:00
Tue, 2021-10-26 12:00 - 16:00
Tue, 2021-11-02 12:00 - 16:00
Tue, 2021-11-09 12:00 - 16:00
Tue, 2021-11-16 12:00 - 16:00
Tue, 2021-11-23 12:00 - 16:00
Tue, 2021-11-30 12:00 - 16:00
Tue, 2021-12-07 12:00 - 16:00
Tue, 2021-12-14 12:00 - 16:00
Tue, 2022-01-04 12:00 - 16:00
Tue, 2022-01-11 12:00 - 16:00
Tue, 2022-01-18 12:00 - 16:00
Tue, 2022-01-25 12:00 - 16:00
Tue, 2022-02-01 12:00 - 16:00
Tue, 2022-02-08 12:00 - 16:00
Tue, 2022-02-15 12:00 - 16:00