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| Semester | fall semester 2020 |
| Course frequency | Every fall sem. |
| Lecturers | Daniel Höhmann (daniel.hoehmann@unibas.ch, Assessor) |
| Content | This course is designed for students interested in quantitative research methods and statistical analysis who already possess some basic knowledge about statistics and, if possible, regression analysis. In the first three weeks of the course, we revisit some of the fundamentals of statistical inference (such as the Central Limit Theorem, hypotheses tests, etc.) to offer students with limited statistical background the possibility the catch up with the required knowledge. In the following part of the course we will discuss the basics of statistical modelling, i.e. what is a model, how does it relate to the data generating process, and which are the elements needed in each statistical model. After this short theoretical part, we will cover the classical linear regression model, the assumptions we make when running such a model, and how violations of these assumptions can be detected and fixed. Next, we will discuss maximum likelihood estimation and then apply this technique to binary and categorical dependent variables (logit, probit, count models, etc.). In all these parts of the course, we will discuss how to improve the basic models. The focus of the course is not in mathematics, but to give students an intuition of how the different modelling techniques actually work. In addition, the course will be very hands-on and application-oriented. Thus, at the end of the course participants should be able to apply the covered material to their own research. In addition, students should learn how to graphically present the results of the models for professional publications. |
| Learning objectives | - Learn the most important statistical estimation techniques for political scientists - Learn how to use model diagnostics to improve the model - Learn how to graphically represent the model to better convey the results to the audience during presentations or to readers in papers |
| Bibliography | - Wooldridge, Jeffrey M. (2002). Introductory Econometrics. A Modern Approach. Mason, OH: Cengate Learning. - Fox, John (2008). Applied Regression Analysis. Los Angeles, London: Sage. - Fox, John and Sanford Weisberg (2011).An R Companion to Applied Regression. Los Angeles, London: Sage. - Agresti, Alan and Barbara Finlay (2009): Statistical Methods for the Social Sciences. Upper Daddle River, NJ: Pearson Prentice Hall. |
| Comments | Attention: All Seminars will be graded in the Department of Political Science. Grading scale 6.0 to 1.0, whereupon 4.0 is a pass. The number of participants is limited to 25 people. The places are assigned according to date of enrollment and subject of study. Priority will be given to students of Political Science and Sociology. |
| Admission requirements | Knowledge of introductory statistics (In the first three weeks of the course, we revisit some of the fundamentals of statistical inference (such as the Central Limit Theorem, hypotheses tests, etc.) to offer students with limited statistical background the possibility the catch up with the required knowledge.) The number of participants is limited to 25 people. The places are assigned according to date of enrollment and subject of study. Priority will be given to students of Political Science and Sociology. |
| Course application | durch Belegen in MOnA |
| Language of instruction | German |
| Use of digital media | No specific media used |
| Interval | Weekday | Time | Room |
|---|
No dates available. Please contact the lecturer.
| Modules |
Modul: Empirische Forschungsmethoden der Politikwissenschaft und der Gesellschaftswissenschaften (Master's degree subject: Political Science) Modul: Fields: Knowledge Production and Transfer (Master's degree program: African Studies) Modul: Methoden der Gesellschaftswissenschaften (Master's Studies: European Global Studies) Modul: Methoden der Near & Middle Eastern Studies und der Gesellschaftswissenschaften (Master's degree subject: Near & Middle Eastern Studies) Modul: Methoden der Soziologie und der Gesellschaftswissenschaften: quantitativ (Master's degree subject: Sociology) Modul: Research Skills (Master's degree program: African Studies) Modul: Theorien und Methodologien der Kulturanthropologie (Master's degree subject: Cultural Anthropology) Module: Methods for Analyzing Changing Societies (Master's degree program: Changing Societies: Migration – Conflicts – Resources) Module: Preparation Master's Thesis in Social Sciences (Master's Studies: Sustainable Development) |
| Assessment format | continuous assessment |
| Assessment details | Attention: All Seminars will be graded in the Department of Political Science. Grading scale 6.0 to 1.0, whereupon 4.0 is a pass. Term paper (50%), 3 problem sets (50%) |
| Assessment registration/deregistration | Reg.: course registration; dereg.: not required |
| Repeat examination | no repeat examination |
| Scale | Pass / Fail |
| Repeated registration | as often as necessary |
| Responsible faculty | Faculty of Humanities and Social Sciences, studadmin-philhist@unibas.ch |
| Offered by | Fachbereich Politikwissenschaft |