Advanced Methods II: Data Collection in Political Science Research
The course Data Collection Methods will provide an overview of quantitative and qualitative data collection methods that are typically used in political science. Students will learn about the advantages and drawbacks of the various methods such as elite interviewing, surveys, manual and computer-based quantitative text analysis. (...) The last two modules will be devoted to quantitative text analysis, a promising new technique that allows for systematically extracting information from political texts. After discussing important concepts such as content validity and intercoder reliability, we will take a closer look at manual coding approaches such as the Comparative Manifesto Project before turning to dictionary-based computer-assisted text analysis. Finally, we will introduce students to Wordscores and Wordfish which are cutting-edge techniques that treat words as data and allow for fully automated extraction of information from texts. The workshop will combine theoretical sessions with practical exercises to allow the participants to immediately apply the presented techniques. In five sessions we will cover the following topics:
In the course Data Collection in Political Science Research data collection techniques encompassing quantitative and qualitative methods ranging from surveys, interview to manual and computer based text analysis are introduced and analysed.
1) Introduction to the Course and the four sessions on data collection techniques, distribution of assignments (1.5 h)
2) Data Collection Techniques: Interviews (4h: 2h lecture, 2 h exercises)
3) Data Collection Techniques: Surveys (4h: 2h lecture, 2 h exercises)
4) Data Collection Techniques: Hand-coded and dictionary-based Text Analysis (4h: 2h lecture, 2 h exercises)
5) Data Collection Techniques: Text as data approaches (4h: 2h lecture, 2 h exercises)
By the end of the course, students should
1. be able to use the principal methods of data collection used by political scientists;
2. have a critical understanding of the advantages and disadvantages of the methods
3. be able to reflect on and discuss the methods in light of research questions of their interest.
Instructors: Stefanie Bailer, Marco Steenbergen, Heike Klüver (Konstanz) (Semi Blockcourse), time: Saturdays, 23.3., 13.4., 25.5., 09.00 - 12.00 and 13.00 - 15.45, room: UZH main buildung, SOE-F-7
Advanced Methods III: Causal Inference for Policy Evaluation
Focusing on the potential outcomes model, this course discusses how researchers can identify and estimate causal effects from observational data. Topics include: matching, weighting, difference-in-difference, synthetic control, instrumental variables (LATE and LARF), and regression discontinuity designs. These methods are particularly interesting for policy evaluation research. (blockseminar end of May)
Instructor: Prof. Marco Steenbergen/Dominik Hangartner, 3.6.2013 - 7.6.2013, Mo - Fr., 09.00 - 12.00. 14.00 - 17.00, room: IPZ branch; AFL - E- 011
The PhD colloquium spring 2013 will be held on Thursdays, 14.00 - 17.00, location: IFW E 42 at the ETH CIS branch Haldeneggsteig/Weinbergstrasse (same room like CIS research colloquium). Slots are currently in process of planning. To reserve a certain slot for presentation please contact Petra Holtrup via Email.