Courses in Political Science are usually only open for incoming exchange students majoring in Political Science and for exchange students at the School of Social Sciences (Sociology, Psychology). Nominated exchange students will be contacted by their departmental exchange coordinator via e-mail at the end of November/
Exchange students from other schools and departments may only attend classes if (a) places are left for other students (b) they have basic knowledge in political science and statistics (c) the departmental exchange coordinator explicitly approves their participation. In case of further questions, please contact: email@example.com.
MA Political Science Students of 2nd semester. Students should have passed „Tutorial Multivariate Analyses“ as well as „Multivarate Analyses“ in their first semester.
Eliason, Scott R. 1993. Maximum Likelihood Estimation: Logic and Practice. Newbury Park: Sage.
Long, J. Scott. 1997. Regression Models for Categorical and Limited Dependent Variables. Newbury Park: Sage.
King, Gary. 2008. Unifying political methodology: the likelihood theory of statistical inference. Ann Arbor, MI: University of Michigan Press.
|Mittwoch (wöchentlich)||13.02.2019 - 29.05.2019||08:30 - 10:00||B 244 Hörsaal; A 5, 6 Bauteil B|
|Dienstag (wöchentlich)||12.02.2019 - 28.05.2019||10:15 - 11:45||B 244 Hörsaal; A 5, 6 Bauteil B|
This lecture gives an overview of selected theoretical concepts and the main research findings in the field of Comparative Government, specifically focusing on the role of political institutions and their impact for political decision-making at all stages in the political process. The course introduces a number of core themes in the comparative study of political institutions, such as constitutions and their design as well as electoral institutions and their effects on turnout and voting behaviour. In addition, the lecture focuses on the impact of different institutional designs on patterns of party competition, government formation and coalition governance. In a third step, we discuss the effects of political institutions on various aspects of legislative behaviour.
|Montag (wöchentlich)||11.02.2019 - 31.05.2019||10:15 - 11:45||B 244 Hörsaal; A 5, 6 Bauteil B|
The main goal of this lecture is to present an advanced introduction to theoretical approaches, key concepts, and substantive issues in comparative political behavior. Building on a multi-level perspective, it will provide an overview of key concepts and theories in the analysis of micro-level processes of political behavior that are embedded in and feed into macro-level processes. Capitalizing on this analytical perspective, the lecture will also address major changes in the relationship between societal and political processes and institutions.
Registration: via Studienportal
Office hour: Tue 14.30-15.30, Room A 343
|Montag (wöchentlich)||11.02.2019 - 31.05.2019||15:30 - 17:00||A 103 Seminarraum; B 6, 23-25 Bauteil A|
Graduate lecture – Spring 2019 This course introduces MA students to some of the major topics related to the study of international political economy. It examines from a political economy perspective how domestic and international politics shape – and are shaped by – countries’ economic relations. It covers several key debates about the role of material (and other) interests and institutions across various dimensions of the global economy. We focus on trade in goods, capital (financial and exchange rate policy), foreign investment and people (migration). We begin by presenting standard models of international economics, and examine how individuals form preferences. We then explore the role of economic and political institutions as well as ideas. A final part considers the links between different aspects of the global economy such as aid or environmental politics.
Required readings are indicated in the course schedule. In addition to scholarly articles, we will rely on several chapters from the following textbook:
Frieden, Jeffry A., David A. Lake, and Kenneth A. Schultz. 2018. World Politics: Interests, Interactions, Institutions. 4th edition. New York: W.W. Norton.
Each session requires a significant amount of reading. Focus on the key arguments. You are not expected to know the details of all readings, or specific empirical strategies, results or facts. The lectures will help you identify priorities.
|Montag (wöchentlich)||11.02.2019 - 31.05.2019||13:45 - 15:15||B 244 Hörsaal; A 5, 6 Bauteil B|
The security of individuals and states depends profoundly on international politics. Beyond the realm of security, structures and actors of “global governance” have been proliferating for many years. They influence crucial public policies in diverse ways. This lecture surveys academic debates on key topics of international politics, including: the sources of war, peace, and terrorism, the emergence and operation of international organizations and transnational civil society, and the making of key international policy outcomes including respect for human rights and climate policies.
|Dienstag (wöchentlich)||12.02.2019 - 28.05.2019||12:00 - 13:30||B 317 Seminarraum; A 5, 6 Bauteil B|
Public opinion plays an important role in European integration, e.g. by constraining elite decisions. Understanding European integration requires thus a proper understanding of the nature and origins of public support for European integration. This seminar will address key concepts and theories for the analysis of public support for European integration and its behavioral consequences. Students will review the latest empirical studies in the field and prepare research papers in which they analyze specific questions using available data sets.
Registration via Student Portal
Office hours: Tue 14.30-15.30, Room A 343
|Mittwoch (wöchentlich)||13.02.2019 - 29.05.2019||10:15 - 11:45||A 305 Seminarraum; B 6, 23-25 Bauteil A|
|Donnerstag (wöchentlich)||14.02.2019 - 30.05.2019||13:45 - 15:15||B 318 Seminarraum; A 5, 6 Bauteil B|
MA Seminar, Spring Semester 2019
University of Mannheim
Instructor: Jun.-Prof. Dr. Nikoleta Yordanova
Course description The course of European integration has become the subject of heated political debate. The failed EU constitutional treaty in 2005, the divided reactions to the economic and refugee crises across and within member states over the past decade, and, ultimately, the EU exit vote in the UK referendum in 2016 all reflect the end of the era of permissive consensus. This course examines the impact of the EU’s politicization on electoral behavior at domestic and European elections, the positions of mainstream and fringe political parties and the responsiveness of national governments and EU institution to public attitudes towards specific EU policies, integration steps or the overall EU regime.
Aims and objectives
To familiarize students with the state of the art analytical research on the politicization of European integration
To encourage critical thinking in evaluating alternative theoretical arguments, research designs and empirical findings in class discussions as well as through research replication
To motivate students to develop their own research ideas and guide them in examining these ideas in their analytical papers
The full syllabus will be circulated during the first class. Readings will be available through the ILIAS or the Semesteraparat in the A5 university library.
The students are encouraged to consult the following reading prior to the course beginning:
Hobolt, S. and de Vries, C. E. (2016) ‘Public Support for European Integration’, Annual Review of Political Science 19: 413-32.
MA Students in Political Science and doctoral students
Via the student portal
Language of instruction: English
Required readings are indicated in the course schedule, which are based on seminal and current research on human rights, peace and security. Each session requires a significant amount of reading. Focus on the key arguments. You are not expected to know the details of all readings, or specific empirical strategies, results or facts. The seminar sessions will help you identify priorities. The specific topics and readings may change based on the interests of the class.
|Dienstag (wöchentlich)||12.02.2019 - 28.05.2019||13:45 - 15:15||211 Seminarraum; B 6, 30-32 Bauteil E-F|
This seminar discusses seminal and current work on state repression, security and peace. It introduces on why and how states violate human rights. It focuses on how governments organize and implement repression and how they aim to justify or obfuscate state violence, particularly in the context of democratic institutions and international human rights norms. The discussion also discusses peace as a more heterogenous concept than the absence of war. Over the course of the seminar you will develop your own research question on one of the topics discussed in the seminar and carrying out your own research. Additionally, you are expected to read all required materials, provide feedback on other student’s work and lead one class discussion.
|Donnerstag (wöchentlich)||14.02.2019 - 30.05.2019||10:15 - 11:45||B 317 Seminarraum; A 5, 6 Bauteil B|
|Donnerstag (Einzeltermin)||07.03.2019||12:00 - 13:00|
|(Blocktermin)||08.03.2019||10:15 - 13:00|
Courses in Sociology are usually only open for incoming exchange students majoring in Sociology and for exchange students at the School of Social Sciences (Political Science, Psychology). Nominated exchange students will be contacted by their departmental exchange coordinator via e-mail at the end of November/
Exchange students from other schools and departments may only attend classes if (a) places are left for other students (b) they have basic knowledge in sociology and statistics (c) the departmental exchange coordinator explicitly approves their participation. In case of further questions, please contact: firstname.lastname@example.org.
Andress, H.J., Golsch, K. and Schmidt, Alexander W. 2013. Applied Panel Data Analysis for Economic and Social Surveys.
|Mittwoch (wöchentlich)||13.02.2019 - 29.05.2019||08:30 - 10:00||B 318 Seminarraum; A 5, 6 Bauteil B|
The course provides a broad overview over methods of longitudinal data analysis, with a focus on the analysis of panel data. Compared to cross-sectional data, panel data can allow to improve causal inference. The first objective of this course is to understand why and under which conditions this is the case. In the next step, we will discuss a variety of different modeling approaches to panel data (fixed effects, random effects, first difference) and learn how to decide between these models. The lecture also provides an overview over event history models. It is highly recommended to participate in the parallel exercises to this lecture, in which the presented models are applied to real data sets.
Information for Mannheim Master in Data Science students: Please be aware that there are only 3 places reserved in this lecture for students of the Mannheim Master in Data Science. You can just register via the portal. Places will be allocated randomly by the end of January. Please check the portal at the beginning of February to see if you are still registered.
|Dienstag (wöchentlich)||12.02.2019 - 28.05.2019||13:45 - 15:15||A 103 Seminarraum; B 6, 23-25 Bauteil A|
Participants will learn when, how, and why social network analysis helps to advance our understanding of social phenomena. This includes basic knowledge of different statistical methods and their promises and pitfalls.
|Donnerstag (wöchentlich)||14.02.2019 - 30.05.2019||08:30 - 10:00||B 318 Seminarraum; A 5, 6 Bauteil B|
In the first weeks, we will cover theoretical and methodological basics of social network analysis. Based on this knowledge, we then will approach methods of cross-sectional (ERGM) as well as longitudinal (SAOM) social network analysis. We will deepen our understanding of these methods by discussing exemplary empirical studies on network formation as well as social influence.
In the final weeks, participants will develop a network-related research idea in a field of their choice. They will elaborate on their idea in a conceptual/
Participants will acquire knowledge of key research questions, theories, and findings with regard to identity and intergroup relations. At the end of the seminar, they should be able to formulate and pursue a related research question.
|Mittwoch (wöchentlich)||13.02.2019 - 29.05.2019||10:15 - 11:45||A 103 Seminarraum; B 6, 23-25 Bauteil A|
In the first half of the seminar, we will introduce the concept of social identity and its theoretical foundations and implications. We will discuss the development and peculiarities of ethnic, national, and religious identities. Reading both conceptual and empirical papers, we are particularly interested in how identity development is shaped by intergroup relations. Considering the perspective of both minority and majority group members, we will examine how minority members react to perceived discrimination as well as what attitudes majority group members hold towards members of different minority groups.
In the second half of the seminar, we will ask how identities affect intergroup relations and discuss empirical studies on intergroup attitudes and friendship. In the final weeks, participants will develop an own research idea that will result in a term paper. The term paper has to be submitted after the end of the seminar, and it can be either an empirical study or a theoretical elaboration. To facilitate the writing of the term papers, students will present and discuss each other’s ideas in the last weeks in class.
|Montag (wöchentlich)||11.02.2019 - 27.05.2019||12:00 - 13:30||309 Seminarraum; B 6, 30-32 Bauteil E-F|
|Mittwoch (wöchentlich)||13.02.2019 - 29.05.2019||10:15 - 11:45||A 102 Seminarraum; B 6, 23-25 Bauteil A|
|Dienstag (wöchentlich)||12.02.2019 - 28.05.2019||12:00 - 13:30||B 143 Seminarraum; A 5, 6 Bauteil B|
|Mittwoch (wöchentlich)||13.02.2019 - 29.05.2019||12:00 - 13:30||C -109 PC Pool; A 5, 6 Bauteil C|
|Mittwoch (wöchentlich)||13.02.2019 - 29.05.2019||12:00 - 13:30|
The main objective of this seminar is to introduce students to the range of experimental methods, classical work as well as recent trends and best practices of experimental social science research. In addition, the seminar aims to teach students how to design and analyze an experiment aimed at answering a self-developed research question. Each student is expected to actively participate in classes by presenting and discussing papers selected by the instructor and to develop an experimental design of her/
- Goldstein, H. (2010). Multilevel Statistical Models (Fourth Edition). London: Arnold.
- Hox, J. (2010). Multilevel Analysis: Techniques and Applications. Mahwah, NJ: Erlbaum.
- Rabe-Hesketh, S. & Skrondal, A. (2012). Multilevel and Longitudinal Modeling Using Stata. 3nd Edition. College Station, TX: Stata Press.
- Raudenbush, S. W. & Bryk, A. S. (2002). Hierarchical Linear Models. Thousand Oaks: Sage.
- Snijders, T. A. B. & Bosker, R. J. (2012). Multilevel Analysis. An Introduction to Basic and Advanced Multilevel Modelling. London: Sage.
- StataCorp. (2017). Stata Multilevel Mixed-Effects. Reference Manual. Release 15. College Station, TX: Stata Press.
|Mittwoch (Einzeltermin)||13.02.2019||13:45 - 17:00||A 302 Seminarraum; B 6, 23-25 Bauteil A|
|Mittwoch (Einzeltermin)||20.02.2019||13:45 - 17:00||A 302 Seminarraum; B 6, 23-25 Bauteil A|
|Mittwoch (Einzeltermin)||06.03.2019||13:45 - 17:00||A 302 Seminarraum; B 6, 23-25 Bauteil A|
|Mittwoch (Einzeltermin)||13.03.2019||13:45 - 17:00||A 302 Seminarraum; B 6, 23-25 Bauteil A|
|Mittwoch (Einzeltermin)||08.05.2019||13:45 - 17:00||A 302 Seminarraum; B 6, 23-25 Bauteil A|
|Mittwoch (Einzeltermin)||15.05.2019||13:45 - 17:00||A 302 Seminarraum; B 6, 23-25 Bauteil A|
|Mittwoch (Einzeltermin)||22.05.2019||13:45 - 17:00||A 302 Seminarraum; B 6, 23-25 Bauteil A|
|Dienstag (wöchentlich)||12.02.2019 - 28.05.2019||10:15 - 11:45||B 317 Seminarraum; A 5, 6 Bauteil B|
|Donnerstag (wöchentlich)||14.02.2019 - 30.05.2019||13:45 - 15:15||A 103 Seminarraum; B 6, 23-25 Bauteil A|
- obtain and analyze data from non-traditional sources;
- formulate and answer research questions related to migration and immigration using such data;
- work in teams to scope a problem, distribute work, and combine their results for a joint presentation; and
- work as part of an international collaboration with teams formed across countries.
Students should have some interest and experience in one of the following areas: (1) working with large, unstructured data sets, (2) immigration research, and (3) project management. Students do not need to have extensive experience in all three areas. However, students are expected to have taken at least one statistics course and have basic familiarity with a software program that can be used for statistical analysis (e.g., R, Python, SAS). Although we will not teach students how to use statistical software, students who want instruction in this area can access DataCamp learning modules that will be made available for the course.
|Donnerstag (wöchentlich)||14.02.2019 - 30.05.2019||15:30 - 17:10||C 212 Besprechung; A 5, 6 Bauteil C|
Courses in Psychology are usually only open for incoming exchange students majoring in Psychology. Nominated exchange students will be contacted by their departmental exchange coordinator via e-mail at the end of November/
Exchange students from other schools and departments may only attend classes if (a) places are left for other students (b) they have basic knowledge in psychology and statistics (c) the departmental exchange coordinator explicitly approves their participation. In case of further questions, please contact: email@example.com.
NON-PSYCHOLOGY EXCHANGE STUDENTS may solely attend if (a) places are left (b) students posses basic knowledge in Psychology and statistics (c) the docent approves participation. For applications please contact the international affairs coordinator for Psychology (firstname.lastname@example.org).
(a more comprehensive list will be available in the first meeting)
Bolger, N., Davis, A., & Rafaeli, E. (2003). Diary methods: Capturing life as it is lived. Annual Review of Psychology, 54, 579-616.
Lischetzke, T., Reis, D., & Arndt, C. (2015). Data-analytic strategies for examining the effectiveness of daily interventions. Journal of Occupational and Organizational Psychology, 88, 587-622. doi:10.1111/
|Donnerstag (wöchentlich)||14.02.2019 - 30.05.2019||17:15 - 18:45||EO 256 Seminarraum; Schloss Ehrenhof Ost|
During recent years interventions using diary methods became increasingly popular within several fields of psychology, including health psychology and organizational psychology. These interventions use „intensive longitudinal designs“ to apply the treatment and to assess the data and build on daily-survey approaches that aim at „capturing life as it is lived” (Bolger, Davis, Rafaeli, 2003, p. 579). Frequent assessments typically implemented in daily-survey approaches allow for modeling change in affect, attitude, and behavior over time.
In this course we will discuss the nature of diary interventions, the research options they offer, as well as potential problems and challenges.
NON-PSYCHOLOGY EXCHANGE STUDENTS may solely attend if (a) places are left (b) students posses basic knowledge in Psychology and statistics (c) the professor approves participation. For applications please contact the international affairs coordinator for Psychology (email@example.com).
For incoming students 2 additional ECTS are available on fulfilment of further course requirements.
|Freitag (2-wöchentlich)||15.02.2019 - 31.05.2019||10:15 - 13:30||EO 162 CIP-Pool; Schloss Ehrenhof Ost|
The last sessions of the seminar will address how to perform specific statistical analyses in R such as:
* Generalized linear mixed models with lme4 (also known as hierarchical
* Simple structural equation models
* Basic set-up of Monte-Carlo simulations
* Simple cognitive modeling (e.g., signal detection or multinomial processing trees)
It is planned that participants practice R in homework assignments and work on small group projects such as analyzing own data, replicating a paper, or running a small simulation.
Incomings Political Science
Gledis Londo, M.A.
Fakultät für Sozialwissenschaften
A 5, 6
Bauteil A – Raum A 416
Fax: +49 621 181-1997
Mo 11–12, zusätzlich in der Vorlesungszeit Mi 15–16:30 Uhr
Fällt aus am 10. und 12. September
Incomings Psychology and Sociology
Katharina Heck, M.A.
Fakultät für Sozialwissenschaften
A 5, 6
Bauteil A – Raum A 416
Fax: +49 621 181-1997
E-Mail: firstname.lastname@example.org; email@example.com
Vorlesungszeit: Di 15–16 Uhr, Mi 10–11 Uhr, vorlesungsfreie Zeit: Mi 10–11 Uhr
Die Sprechstunde am 2. Januar fällt aus.