Universität Wien

400003 SE Experimental Methods (2017S)

SE Methods for Doctoral Candidates

5.00 ECTS (2.00 SWS), SPL 40 - Doktoratsstudium Sozialwissenschaften
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 15 participants
Language: English

Lecturers

Classes

MO 26.06.2017 9:00 -13:30
DI 27.06.2017 10:00 - 13:30
MI 28.06.2017 09:00 - 13:30
DO 29.06.2017 09:00 - 13:30
FR 30.06.2017 9:00 - 13:30

Ort: Hörsaal H10, Rathausstraße 19, Stiege 2, Hochparterre

Information

Aims, contents and method of the course

Experimental research has come to occupy a central place in the social sciences as scholars have become more concerned about making valid causal inferences. The purpose of this class is
to learn about the use of experiments in political science and related fields, develop an understanding of the experimental method (e.g., its strengths and weaknesses relative to other methodologies), and gain experience in designing experimental studies. In this course, you will gain a broad understanding of the issues involved in the design and
analysis of experiments. The course is organized into sections corresponding to some of thepractical issues that arise in experimental research.

Assessment and permitted materials

Five to ten page paper outlining an experimental design (70%) and class participation (30%).

Minimum requirements and assessment criteria

Examination topics

Reading list

Below I list several books that you may want to consider adding to your personal library. Many of the required and recommended readings come from these texts:
Druckman, James N., Donald P. Green, James H. Kuklinski, and Arthur Lupia. 2011. Cambridge
Handbook of Experimental Political Science. New York, NY: Cambridge University Press.
Morton, Rebecca B., and Kenneth C. Williams. 2010. From Nature to the Lab. Experimental Political Science and the Study of Causality. New York, NY: Cambridge University Press.
Gerber, Alan S., and Donald P. Green. 2012. Field Experiments: Design, Analysis, and
Interpretation. New York, NY: W.W. Norton & Company.
Mutz, Diana C. 2011. Population Based Survey Experiments. Princeton, NJ: Princeton University
Press.
Field, Andy P. and Graham Hole. 2003. How to Design and Report Experiments. London: Sage.

Association in the course directory

Last modified: Mo 07.09.2020 15:46