Social Sciences – Master's level (all)

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Political Science

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/early December (fall semester) or by the end of May/early June (Spring semester) regarding their course choice.

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: int-pol uni-mannheim.de.

Advanced Topics in Comparative Politics: Elections in Comparative Perspective (Seminar)
EN
Lecture type:
Seminar
ECTS:
10.0
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Live & on-campus
Literature:
Collier, Paul. 2010. Wars, Guns, and Votes: Democracy in Dangerous Places. Harper Collins.
Farrell, David. 2011. Electoral Systems: A Comparative Introduction 2nd. ed. Palgrave Macmillan.
Thomassen, Jacques. 2014. Elections and Democracy: Representation and Accountability. Oxford University Press.
Examination achievement:
Term paper (ca. 5000 words)
Instructor(s):
Sean Damien Carey
Date(s):
Monday  (weekly) 05.09.2022 – 05.12.202213:45 – 15:15B 317 Seminarraum; A 5, 6 Bauteil B
Description:


Elections are the central focus of political activity in democracies. The characteristics of politics, parties and electoral systems are fundamental to the outcome of elections, which differ across and within countries. To better understand elections we need to study them comparatively, therefore this course focuses on comparative research on elections. The course focuses on the context in which elections are fought and how this affects electoral outcomes. A number of contextual effects of electoral behaviour will be covered, such as institutional configurations, election campaigns, the strategies of political parties and the importance of events in understanding the dynamics of electoral outcomes. We will consider competing theoretical and empirical explanations of the electoral process in democratic as well as partially democratic and even non-democratic countries.
Advanced Topics in Comparative Politics: Political Bias in Science (Seminar)
EN
Lecture type:
Seminar
ECTS:
10.0
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Live & on-campus
Examination achievement:
Term paper
Instructor(s):
Richard Traunmüller
Date(s):
Tuesday  (weekly) 06.09.2022 – 06.12.202213:45 – 15:15C 217 Seminarraum; A 5, 6 Bauteil C
Description:
This seminar starts from the premise that the current epistemic political crisis is not rooted in a denial of scientific facts, but in the ubiquitous tendency to evaluate scientific findings selectively and according to one's own political ideas. Researchers, too, are ordinary people and therefore politically motivated information processors. They seek information that supports their political ideas and avoid information that contradicts their ideas. They also seem to consider study results more plausible when they are consistent with their political ideas and to doubt study results that contradict their political beliefs. If this tendency, known as myside bias, meets the possibility of flexible presentation of results and a politically unbalanced disciplinary environment, politically biased findings are a very real danger and epistemic distrust an obvious, if not indicated, consequence. In this seminar we will discuss what political biases in science exist, where they come from, what consequences they have and what we can do about them.
Advanced Topics in International Politics: Human Rights Politics (Seminar)
EN
Lecture type:
Seminar
ECTS:
10.0
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Live & on-campus
Examination achievement:
Empirical Research Paper
Instructor(s):
Christoph Steinert
Date(s):
Thursday  (weekly) 08.09.2022 – 08.12.202210:15 – 11:45C 112 Unterrichtsraum; A 5, 6 Bauteil C
Description:
This seminar focuses on human rights violations as a theoretical concept and as an empirical phenomenon. It tackles questions such as: What are human rights violations? How can we study human rights violations empirically? When are human rights violations most likely to occur? Which groups of individuals face an elevated risk of human rights violations? And which types of interventions are effective to promote human rights? The seminar will be structured according to different political contexts analysing distinct dynamics of repression during 'peace' and armed conflicts. The seminar sheds light on different perpetrators of human rights abuse and on patterns of civilian victimization and sexual violence during armed conflicts. The seminar also covers selective types of external interventions to conflict-torn societies such as UN Peacekeeping missions or international criminal prosecutions. To bridge the gap between theory and practice, current real-world examples of human rights violations will be discussed in relation to the theoretical concepts introduced in class. By the end of the seminar, students are expected to write their own empirical research paper on a topic of their own choice related to the field of human rights.
Game Theory (Lecture)
EN
Lecture type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Live & on-campus
Literature:
Textbooks:
  •      McCarty, Nolan and Adam Meirowitz. 2007. Political Game Theory. Cambridge: Cambridge University Press.
  •     Tadelis, Steven. 2013. Game Theory: An Introduction. Princeton: Princeton University Press.
  •     Osborne, Martin. 2003. An Introduction to Game Theory. Oxford: Oxford University Press.
  •     Morrow, James. 1994. Game Theory for Political Scientists. Princeton, NJ: Princeton University Press.
  •     Dixit, Avinash K., Susan Skeath, and David H. Reiley. 2009. Games of Strategy. 3. ed. New York: Norton.
  •     Hinich, Melvin J. and Michael C. Munger. 1997. Analytical Politics. Cambridge: Cambridge University Press.
  •     Osborne, Martin and Ariel Rubinstein. 2020. Models in Microeconomic Theory. Open Book Publishers.
Examination achievement:
Final exam
Instructor(s):
Thomas Bräuninger
Date(s):
Monday  (weekly) 05.09.2022 – 05.12.202210:15 – 11:45B 244 Hörsaal; A 5, 6 Bauteil B
Description:
The objective of this course is to provide students with the basics of formal modeling in political science. The course has some breadth in coverage in the sense that it provides a graduate-level introduction and overview to different areas in game theory. It is also narrow in the sense that the emphasis is not on application and model testing but getting trained in reading and writing down formal models. At the conceptual level the course will cover the following topics: normal form games, Nash equilibria, extensive form games, subgame perfect equilibria, repeated games, bargaining, games with incomplete and imperfect information, Bayesian perfect equilibria, signaling games, preferences and individual choices, basics of decision theory and social choice. At the substantial level, we will use these concepts to study, as examples, candidate competition, political lobbying, and war and deterrence.
Lecture Data and Measurement (Lecture)
EN
Lecture type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Online, live
Examination achievement:
Prüfungsleistung Vorlesung / Lecture:

1 Hausarbeit / 1 term paper

Studienleistung Übung / Tutorial:

3 Übungsarbeiten / 3 written tasks (pass/fail), aktive Mitarbeit / active participation in class
Instructor(s):
Joseph Sakshaug
Date(s):
Tuesday  (weekly) 25.10.2022 – 06.12.202208:30 – 10:00ZOOM-Lehre-031; Virtuelles Gebäude
Description:
This course gives an overview of data used in political science and their measurement properties. At the beginning of the course we will focus on survey data and traditional statistics and move to data science approaches for big data towards the end of the course. Topics covered include the Total Survey Error (TSE) framework, operationalizing research questions, guidelines for writing survey questions, testing questions with cognitive interviews and eye-tracking, sampling, coverage, and nonresponse of survey and big data, and data analytics approaches in data science.

The course is mandatory for students of the M.A. in Political Science and consists of lectures (6 ECTS) and tutorials (2 ECTS). During the lectures the theory covered in the course readings is discussed. The tutorials offer hands-on practice and experience during individual and group exercises.
Multivariate Analyses (Lecture)
EN
Lecture type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
On-campus and online, live
Examination achievement:
take-home exam
Instructor(s):
Thomas Gschwend
Date(s):
Wednesday  (weekly) 07.09.2022 – 07.12.202208:30 – 10:00B 244 Hörsaal; A 5, 6 Bauteil B
Monday  (single date) 05.09.202212:00 – 13:30C 013 Hörsaal; A 5, 6 Bauteil C
Description:
The course introduces students to quantitative methods in political science. During the first half of the course, we will focus on linear regression models. The topics covered include discussions of the mathematical bases for such models, their estimation and interpretation, model assumptions and techniques for addressing violations of those assumptions, and topics related to model specification and functional forms. During the second half of the course, students will be introduced to likelihood as a theory of inference, including models for binary and count data.

The main goals of this course are to develop sound critical judgment about quantitative studies of political problems, to understand the logic of statistical inference, to recognize and understand the basics of the linear regression model, to develop the skills necessary to work with datasets to perform basic quantitative analyses, and to provide a basis of knowledge for more advanced statistical methods.

In the accompanying course “Tutorial Multivariate Analyses” students will develop the necessary expertise in using statistical software to conduct quantitative research in political science.
Research Design (Lecture)
EN
Lecture type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Live & on-campus
Literature:
King, Gary; Keohane, Robert Owen; Verba, Sidney. 1994. Designing Social Inquiry : Scientific Inference in Qualitative Research. Princeton, NJ: Princeton University Press
Henry E. Brady and David Collier (Hrsg). 2004: Rethinking social inquiry: diverse tolls, shared standards. Lanham [u.a.]: Rowman & Littlefield
Thomas Gschwend, Frank Schimmelfennig (Hrsg). 2007: Research Design in Political Science: How to practice what they preach? Houndmills: Palgrave MacMillan.
Kellstedt, Paul and Guy Whitten. 2009: The Fundamentals of Political Research, Cambridge: Cambridge University
Examination achievement:
Final paper proposal (circa 10 pages)
Instructor(s):
Sean Damien Carey
Date(s):
Wednesday  (weekly) 07.09.2022 – 07.12.202210:15 – 11:45A 103 Seminarraum; B 6, 23–25 Bauteil A
Description:
All researchers face similar challenges posed by core issues of research design. A research design is a plan that specifies how you plan to carry out a research project and, particularly, how you expect to use your evidence to answer your research question. This course aims to provide an overview of potential research designs for establishing causal inference and their advantages and disadvantages. Students should also understand the trade-offs involved in choosing a particular research design. Students are expected to have their own ideas about potential research questions to be able to actively participate in seminar-style meetings that are organised within this lecture course
Tutorial Data and Measurement (Seminar)
EN
Lecture type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Online, live
Examination achievement:
Prüfungsleistung Vorlesung / Lecture:

1 Hausarbeit / 1 term paper

Studienleistung Übung / Tutorial:

3 Übungsarbeiten / 3 written tasks (pass/fail), aktive Mitarbeit / active participation in class
Instructor(s):
Joseph Sakshaug
Date(s):
Tuesday  (weekly) 18.10.2022 – 06.12.202210:15 – 11:45ZOOM-Lehre-036; Virtuelles Gebäude
Description:
Summary

This course gives an overview of data used in political science and their measurement properties. At the beginning of the course we will focus on survey data and traditional statistics and move to data science approaches for big data towards the end of the course. Topics covered include the Total Survey Error (TSE) framework, operationalizing research questions, guidelines for writing survey questions, testing questions with cognitive interviews and eye-tracking, sampling, coverage, and nonresponse of survey and big data, and data analytics approaches in data science.

The course is mandatory for students of the M.A. in Political Science and consists of lectures (6 ECTS) and tutorials (2 ECTS). During the lectures the theory covered in the course readings is discussed. The tutorials offer hands-on practice and experience during individual and group exercises.
Tutorial Game Theory (Seminar)
EN
Lecture type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Live & on-campus
Examination achievement:

Students are required to pass on average three open-book-24h-tests.
Instructor(s):
Amina Elbarbary
Date(s):
Friday  (weekly) 09.09.2022 – 09.12.202208:30 – 10:00C 217 Seminarraum; A 5, 6 Bauteil C
Description:
This tutorial accompanies the graduate-level introductory lecture in game theory. Its main objective is to practice solution concepts for static and dynamic games of complete and incomplete information. The contents are centered around the material covered in the lecture. Thus, the following key areas will be discussed: normal-form games, dominance, Nash equilibria, mixed strategies, continuous strategies, sequential games with perfect and incomplete information, subgames and subgame perfection, Bayesian equilibria, signaling and cheap talk games, expected utility and decision theory, bargaining theory, and social choice. At the substantial level, we will use these concepts to study, as examples, candidate competition, political lobbying, and war and deterrence.
Tutorial Multivariate Analyses (Seminar)
EN
Lecture type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
English
Attendance:
Live & on-campus
Instructor(s):
Oliver Rittmann
Date(s):
Wednesday  (weekly) 07.09.2022 – 07.12.202212:00 – 13:30A 103 Seminarraum; B 6, 23–25 Bauteil A
Description:
This tutorial accompanies the course “Multivariate Analyses” in the M.A. program in Political Science. The lab sessions will focus on the practical issues associated with quantitative methods, including obtaining and preparing data sets, how to use statistical software, which tests to use for different kinds of problems, how to graph data effectively for presentation and analysis, and how to interpret results. The seminar will also serve as a software tutorial. No prior knowledge of statistical programming is expected.
Tutorial Multivariate Analyses (Seminar)
EN
Lecture type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
English
Attendance:
Live & on-campus
Instructor(s):
Lion Behrens
Date(s):
Friday  (weekly) 09.09.2022 – 09.12.202210:15 – 11:45A 102 Seminarraum; B 6, 23–25 Bauteil A
Description:
This tutorial accompanies the course “Multivariate Analyses” in the M.A. program in Political Science. The lab sessions will focus on the practical issues associated with quantitative methods, including obtaining and preparing data sets, how to use statistical software, which tests to use for different kinds of problems, how to graph data effectively for presentation and analysis, and how to interpret results. The seminar will also serve as a software tutorial. No prior knowledge of statistical programming is expected.
Tutorial Multivariate Analyses (Seminar)
EN
Lecture type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
English
Attendance:
Live & on-campus
Instructor(s):
Domantas Undzenas
Date(s):
Thursday  (weekly) 08.09.2022 – 08.12.202210:15 – 11:45C 217 Seminarraum; A 5, 6 Bauteil C
Description:
This tutorial accompanies the course “Multivariate Analyses” in the M.A. program in Political Science. The lab sessions will focus on the practical issues associated with quantitative methods, including obtaining and preparing data sets, how to use statistical software, which tests to use for different kinds of problems, how to graph data effectively for presentation and analysis, and how to interpret results. The seminar will also serve as a software tutorial. No prior knowledge of statistical programming is expected.

Sociology

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/early December (fall semester) or by the end of May/early June (Spring semester) regarding their course choice.

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: int-soc uni-mannheim.de.

Cross Sectional Data Analysis (Lecture) (Lecture)
EN
Lecture type:
Lecture
ECTS:
6
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
Books are available in the library. The slides can be downloaded from ILIAS.
Examination achievement:
Exam (Prüfungsleistung): consists of a written exam (90 minutes).
Credits (9 ECTSP) are awarded on a passed written exam. Participation in the final exam is subject to having passed all requirements (Studienleistungen).
Instructor(s):
Thomas Gautschi
Date(s):
Tuesday  (weekly) 06.09.2022 – 06.12.202213:45 – 15:15B 244 Hörsaal; A 5, 6 Bauteil B
Description:
The main focus lies on the introduction to statistical models and estimators beyond linear regression useful to a social scientists. A good understanding of the classical linear regression model is a prerequisite and required for the further topics of the course. We will first discuss violations of the asymptotic properties of the linear regression model and ways to address these violations (heteroscedasticity, endogeneity, proxy variables, IV-estimator). The second part of the class is dedicated to first the maximum likelihood estimator and second to generalized linear models (GLS) for binary choice decisions (Logit, Probit), ordinal dependent variables, and count data (Poisson, Negative Binomial). Classes will be accompanied by lab sessions to repeat and practice the topics from the classes. We will use the statistical package Stata.
Cross Sectional Data Analysis (Tutorial) (Scientific exercise)
EN
Lecture type:
Scientific exercise
ECTS:
3
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Live & on-campus
Literature:
You will find exercises, solutions, data, and additional information on ILIAS.
Examination achievement:
Credits: 3 ECTS credits are awarded on the presentation of the assignment solution and an active participation. Passing the lab session counts as “Studienleistung” for the lecture. Participation in the final exam of the lecture is therefore subject to having passed the lab session.
Instructor(s):
Sandra Morgenstern
Date(s):
Tuesday  (weekly) 06.09.2022 – 06.12.202215:30 – 17:00B 243 Hörsaal; A 5, 6 Bauteil B
Description:
Lab sessions will repeat and practice topics from the lecture based on weekly exercises. These exercises follow the lecture, so that you will have a week to solve each exercise. We will do some applied exercises by hand and use the statistical packages Stata or R. The goal of the lab session is:

a) to practice the topics you learned in applied form,
b) offer a opportunity for questions, and
c) give you and discuss with you hands-on approaches for your further empirical work (e.g. graphical representation of results).

You might want to consider going to the lab session that focuses on the respective statistics program that you are going to use. The group on Tuesdays (Sandra Morgenstern) will focus on Stata, the group on Thursdays (Malte Grönemann) will use R. It is not mandatory though to visit the group using the same statistics program as you.
Cross Sectional Data Analysis (Tutorial) (Scientific exercise)
EN
Lecture type:
Scientific exercise
ECTS:
3
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Live & on-campus
Literature:
You will find exercises, solutions, data, and additional information on ILIAS.
Examination achievement:
Credits: 3 ECTS credits are awarded on the presentation of the assignment solution and an active participation. Passing the lab session counts as “Studienleistung” for the lecture. Participation in the final exam of the lecture is therefore subject to having passed the lab session.
Instructor(s):
Malte Grönemann
Date(s):
Thursday  (weekly) 08.09.2022 – 08.12.202212:00 – 13:30B 244 Hörsaal; A 5, 6 Bauteil B
Description:
Lab sessions will repeat and practice topics from the lecture based on weekly exercises. These exercises follow the lecture, so that you will have a week to solve each exercise. We will do some applied exercises by hand and use the statistical packages Stata or R. The goal of the lab session is:

a) to practice the topics you learned in applied form,
b) offer a opportunity for questions, and
c) give you and discuss with you hands-on approaches for your further empirical work (e.g. graphical representation of results).

You might want to consider going to the lab session that focuses on the respective statistics program that you are going to use. The group on Tuesdays (Sandra Morgenstern) will focus on Stata, the group on Thursdays (Malte Grönemann) will use R. It is not mandatory though to visit the group using the same statistics program as you.
Foundations of Sociological Theory (Lecture) (Lecture)
EN
Lecture type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Live & on-campus
Learning target:
Basic understanding of the methodology of sociological explanations; knowledge of key sociological theories and theoretical tools; skills to evaulate the quality, especially the information content, of theoretical statements; awareness of the challanges of the theory-data link; critical assement of the theory-guidance of empirical research.
Literature:
Introductory readings are :

Della Porta, D., and Keating, M. (eds.) (2008). Approaches and Methodologies in the Social Sicenes. A Pluralist Perspective. Cambridge: Cambridge University Press.

Hedström, Peter (2005). Dissecting the social: On the principles of analytical sociology. Cambridge University Press.

Little, Daniel, Varieties of Social Explanation. An Introduction to the Philosophy of Social Science, Boulder, CO: Westview Press, 1991.

A more detailed reading list will be provided in the first session.
Examination achievement:
Klausur (90 Minuten)
Instructor(s):
Frank Kalter
Date(s):
Monday  (weekly) 05.09.2022 – 05.12.202212:00 – 13:30C 217 Seminarraum; A 5, 6 Bauteil C
Monday  (single date) 12.09.202212:00 – 13:30C 013 Hörsaal; A 5, 6 Bauteil C
Description:
This lecture introduces incoming students to the fundamental principles of (social) science, different theoretical paradigms in sociology, and empirical-analytical sociological research on social mechanisms. First, as an introduction into the epistemological foundations of social sciences, we will address key insights of the philosophy of sciences, sociological theory and analytic sociology on social mechanism. What is a reasonable (causal) explanation of social phenomena and how can it be verified? Furthermore, we will study the different paradigms in the social sciences and in particular important variants of sociological theory ranging from interpretative approaches to rational choice theory. In how far are these complementary or do these represent disparate perspectives? Finally, actual sociological applications of analytical sociology studying particular social mechanisms will be discussed.
Foundations of Sociological Theory (Lecture) (Lecture)
EN
Lecture type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
On-campus and online, live
Learning target:
Basic understanding of the methodology of sociological explanations; knowledge of key sociological theories and theoretical tools; skills to evaulate the quality, especially the information content, of theoretical statements; awareness of the challanges of the theory-data link; critical assement of the theory-guidance of empirical research.
Literature:
Introductory readings are :

Della Porta, D., and Keating, M. (eds.) (2008). Approaches and Methodologies in the Social Sicenes. A Pluralist Perspective. Cambridge: Cambridge University Press.

Hedström, Peter (2005). Dissecting the social: On the principles of analytical sociology. Cambridge University Press.

Little, Daniel, Varieties of Social Explanation. An Introduction to the Philosophy of Social Science, Boulder, CO: Westview Press, 1991.

A more detailed reading list will be provided in the first session.
Examination achievement:
Klausur (90 Minuten)
Instructor(s):
Frank Kalter
Date(s):
Monday  (single date) 19.09.202212:00 – 13:30C 013 Hörsaal; A 5, 6 Bauteil C
Description:
This lecture introduces incoming students to the fundamental principles of (social) science, different theoretical paradigms in sociology, and empirical-analytical sociological research on social mechanisms. First, as an introduction into the epistemological foundations of social sciences, we will address key insights of the philosophy of sciences, sociological theory and analytic sociology on social mechanism. What is a reasonable (causal) explanation of social phenomena and how can it be verified? Furthermore, we will study the different paradigms in the social sciences and in particular important variants of sociological theory ranging from interpretative approaches to rational choice theory. In how far are these complementary or do these represent disparate perspectives? Finally, actual sociological applications of analytical sociology studying particular social mechanisms will be discussed.
Foundations of Sociological Theory (Tutorial) (Scientific exercise)
EN
Lecture type:
Scientific exercise
ECTS:
3.0
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Live & on-campus
Learning target:
Learning goals
The main aim of the course is to sharpen students’ ability to evaluate theoretical sociological explanations. At the end of the course, students’ should be better prepared to develop sociological explanations themselves in order to address research problems of their own choice.
Recommended requirement:
Literature:
will be announced
Instructor(s):
Lars Leszczensky
Date(s):
Monday  (weekly) 05.09.2022 – 05.12.202213:45 – 15:15A 103 Seminarraum; B 6, 23–25 Bauteil A
Monday  (single date) 05.09.202213:45 – 15:15A 103 Seminarraum; B 6, 23–25 Bauteil A
Description:
Course description
The methodological toolbox that is available to social scientists has considerably increased in recent years. Unfortunately, however, this increased methodological precision is not always accompanied by theoretical precision. In this course, we aim to shift attention from identifying causal mechanisms empirically to theorizing about them.
For this purpose, we discuss how selected exemplary studies tackle the key questions of applied sociological theorizing. Roughly speaking, we proceed in three steps. In a first step, we ask what, exactly, the scientific or social problem under study and the related research question is. This question may sound almost trivial, but it is not, given that everything else depends on a clear understanding of the underlying problem. After establishing the explanandum, our second step is to examine the theoretical explanation that the authors offers to explain the observed phenomena or pattern. In order to do so, we discuss the (sometimes hidden) assumptions and scope conditions of respective theories. We also discuss how convincing these theoretical explanations are, what observable implications they have, and how the authors test these implications empirically. In the final step, we assess whether the study has succeeded in advancing our (theoretical) understanding of the problem it sought to address.
FS Research Project (Research seminar)
EN
Lecture type:
Research seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Live & on-campus
Examination achievement:
Term paper
Instructor(s):
Katja Möhring
Date(s):
Tuesday  (weekly) 06.09.2022 – 06.12.202212:00 – 13:30B 318 Seminarraum; A 5, 6 Bauteil B
Tuesday  (single date) 04.10.202212:00 – 13:30ZOOM-Lehre-038; Virtuelles Gebäude
Description:
The aim of this research seminar is to conduct an analysis of secondary data and to write a short research paper. Topics may include comparative welfare state research, public opinion, labour market, life course and aging sociology. Students can choose the topic on their own and can either opt for a replication of a published research paper or work on an original research paper. Studies on topics related to the social consequences of the Corona pandemic are highly welcome. In the first session we will discuss how to select a research question and a research design. In the following sessions the instructor will briefly introduce two to three datasets (depending on the research interests of the participating students) which are particularly suitable for addressing research questions in the fields mentioned above (e.g., German Internet Panel (GIP, including the Mannheim Corona-Study); German Socio-economic Panel (SOEP); Survey of Health, Ageing, and Retirement in Europe (SHARE); European Social Survey (ESS)). One or two additional sessions will deal with the workflow of data analysis using Stata (focus on writing accessible and effective do-files). In the remaining weeks of the seminar the students are working on their research projects. Students will develop hypotheses, write a review of research related to these hypotheses and conduct an empirical test using secondary data. The seminar takes place on-site and may be switched online if regulations change.
Research Design (Lecture) (Lecture)
EN
Lecture type:
Lecture
ECTS:
4
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Live & on-campus
Examination achievement:
written exam (90 min.)
Instructor(s):
Ruben Bach, Paul Bauer
Date(s):
Thursday  (weekly) 08.09.2022 – 08.12.202213:45 – 15:15A 103 Seminarraum; B 6, 23–25 Bauteil A
Description:
How do we know which research design fits best our research question? What requirements must be in place for good descriptive, causal and predictive inference? How do we estimate causal effects? How do we design and analyze experiments? Can we make causal claims from observational data? Researchers in the social sciences must be able to answer all of these questions.
This course teaches the fundamental concepts behind the estimation of causal effects, including potential obstacles to causal inference. Real-world examples will be discussed in detail and students will apply the techniques learned with real datasets in R. Students will come away with an understanding of how to estimate causal effects in both randomized and observational settings, with a particular focus on the careful design of both types of studies.
Research Design (Tutorial) (Scientific exercise)
EN
Lecture type:
Scientific exercise
ECTS:
3.0
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Live & on-campus
Instructor(s):
Daria Szafran
Date(s):
Thursday  (weekly) 08.09.2022 – 08.12.202215:30 – 17:00A 103 Seminarraum; B 6, 23–25 Bauteil A
Description:
  In the practice sessions, students will learn how to implement causal inference methods in R. Students should bring their own laptop for the all practice sessions. Previous knowledge in R is not necessary although advantageous. Please make also sure to install R and R studio before the first practice session.
Research Design (Tutorial) (Scientific exercise)
EN
Lecture type:
Scientific exercise
ECTS:
3.0
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Live & on-campus
Instructor(s):
Danielle Martin
Date(s):
Wednesday  (weekly) 07.09.2022 – 07.12.202213:45 – 15:15A 102 Seminarraum; B 6, 23–25 Bauteil A
Description:
  In the practice sessions, students will learn how to implement causal inference methods in R. Students should bring their own laptop for the all practice sessions. Previous knowledge in R is not necessary although advantageous. Please make also sure to install R and R studio before the first practice session.
S Elective Seminar: “Social Networks” (Seminar)
EN
Lecture type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Live & on-campus
Literature:
References
Alecu, Andreea, Håvard Helland, Johs. Hjellbrekke, and Vegard Jarness. 2021. “Who you know: The classed structure of social capital.” British Journal of Sociology 73:505–35.

Błoch, Agata, Demival Vasques Filho, and Michał Bojanowski. 2022. “Networks from archives: Reconstructing networks of official correspondence in the early modern Portuguese empire.” Social Networks 69:123–35.

Bourdieu, Pierre. 1986. “The forms of capital.” Pp. 241–58 in Handbook of theory and research for the sociology of education, edited by James T. Richardson. Westport, CT: Greenwood Press. (Deutsch: 1983. “Ökonomisches Kapital, kulturelles Kapital, soziales Kapital.” Pp. 183–98 in Soziale Ungleichheiten, edited by
Reinhard Kreckel. Göttingen: Verlag Otto Schwartz.

Burt, Ronald S. 1984. “Network Items and the General Social Survey.” Social Networks 6:293–339.

Burt, Ronald S. 2001. “Structural holes versus network closure as social capital.” Pp. 31–56 in Social Capital: Theory and Research, edited by Nan Lin, Karen Cook, and Ronald S. Burt. Chicago: Aldine de Gruyter.

Burt, Ronald S. 2015. “Reinforced structural holes.” Social Networks 43:149–61.

Chetty, Raj, Matthew O. Jackson, Theresa Kuchler, Johannes Stroebel, Nathaniel Hendren, Robert B. Fluegge, Sara Gong, Federico Gonzalez, Armelle Grondin, Matthew Jacob, Drew Johnston, Martin Koenen, Eduardo Laguna-Muggenburg, Florian Mudekereza, Tom Rutter, Nicolaj Thor, Wilbur Townsend, Ruby Zhang, Mike Bailey, Pablo Barberá, Monica Bhole, and Nils Wernerfelt. 2022a. “Social capital I: measurement and associations with economic mobility.” Nature https://doi.org/10.1038/s41586–022-04996–4.

Chetty, Raj, Matthew O. Jackson, Theresa Kuchler, Johannes Stroebel, Nathaniel Hendren, Robert B. Fluegge, Sara Gong, Federico Gonzalez, Armelle Grondin, Matthew Jacob, Drew Johnston, Martin Koenen, Eduardo Laguna-Muggenburg, Florian Mudekereza, Tom Rutter, Nicolaj Thor, Wilbur Townsend, Ruby Zhang, Mike Bailey, Pablo Barberá, Monica Bhole, and Nils Wernerfelt. 2022b. “Social capital II: determinants of economic connectedness.” Nature https://doi.org/10.1038/s41586–022-04997–3.

Freeman, Linton C. 2004. The development of social network analysis. A study in the sociology of science. Vancouver, BC: Empirical Press.

Granovetter, Mark S. 1973. “The Strength of Weak Ties.” American Journal of Sociology 78:1360–80.

Hampton, Keith N. 2022. “A restricted multiple generator approach to enumerate personal support networks: An alternative to global important matters and satisficing in web surveys.” Social Networks 68:48–59.

Huszti, Éva, Beáta Dávid, and Kinga Vajda. 2013. “Strong Tie, Weak Tie and In-betweens: A Continuous Measure of Tie Strength Based on Contact Diary Datasets.” Procedia – Social and Behavioral Studies 79:38–61.

Kadushin, Charles. 2012. Understanding Social Networks. Theories, Concepts, and Findings. New York, NY: Oxford University Press.

Laumann, Edward O., and Franz U. Pappi. 1976. Networks of Collective Action. A Perspective on Community Influence Systems. New York et al.: Academic Press.

Lin, Nan, and Mary Dumin. 1986. “Access to Occupations through Social Ties.” Social Networks 8:365–85.

Lin, Nan. 1999. “Social Networks and Status Attainment.” Annual Review of Sociology 25:467–87.

Marsden, Peter V. 1987. “Core Discussion Networks of Americans.” American Sociological Review 52:122–31.

Marsden, Peter V. 2003. “Interviewer effects in measuring network size using a single name generator.” Social Networks 25(1):1–16.

McCallister, Lynne, and Claude S. Fischer. 1978. “A Procedure for Surveying Personal Networks.” Sociological Methods and Research 7:131–48.

Norbutas, Lukas, and Rense Corten. 2018. “Network structure and economic prosperity in municipalities: Alarge-scale test of social capital theory using social media data.” Social Networks 52:120–34.

Perry, Brea L., Bernice A. Pescosolido, and Stephen P. Borgatti. 2018. Egocentric Network Analysis. Foundations, Methods, and Models. Cambridge: Cambridge University Press.

Scott, John. 2017. Social Network Analysis. London: Sage.

Tasselli, Stefano. 2015. “Social Networks and Interprofessional Knowledge Transfer: The Case of Healthcare Professionals.” Organization Studies 36(7):841–72.

van Der Gaag, Martin, and Tom A.B. Snijders. 2005. “The Resource Generator: Social capital quantification with concrete items.” Social Networks 27:1–29.

van der Gaag, Martin, Tom A. B. Snijders, and Henk Flap. 2008. “Position Generator Measures and Their Relationship to Other Social Capital Measures.” Pp. 27–48 in Social Capital. An International Research Program, edited by Nan Lin and Bonnie H. Erickson. New York: Oxford University Press.

Webber, Martin P., and Peter J. Huxley. 2007. “Measuring access to social capital: The validity and reliability of the Resource Generator-UK and its association with common mental disorder.” Social Science & Medicine 65(3):481–92.

Wolf, Christof. 2006. “Egozentrierte Netzwerke. Erhebungsverfahren und Datenqualität.” Pp. 244–73 in Methoden der Sozialforschung, edited by Andreas Diekmann. Wiesbaden: VS Verlag für Sozialwissenschaften.
Examination achievement:
schriftliche Hausarbeit, term paper
Referat, oral presentation
Instructor(s):
Christof Wolf
Date(s):
Friday  (single date) 16.09.202210:15 – 13:30B 317 Seminarraum; A 5, 6 Bauteil B
Friday  (single date) 23.09.202210:15 – 13:30B 317 Seminarraum; A 5, 6 Bauteil B
Friday  (single date) 04.11.202210:15 – 13:30B 317 Seminarraum; A 5, 6 Bauteil B
Friday  (single date) 11.11.202210:15 – 13:30B 317 Seminarraum; A 5, 6 Bauteil B
Friday  (single date) 18.11.202210:15 – 13:30B 317 Seminarraum; A 5, 6 Bauteil B
Friday  (single date) 25.11.202210:15 – 13:30B 317 Seminarraum; A 5, 6 Bauteil B
Friday  (single date) 02.12.202210:15 – 13:30B 317 Seminarraum; A 5, 6 Bauteil B
Description:
Seminar: „Social networks: concepts and approaches in social research”
MA Modul “Sociological Research Fields”
Time: Friday 10.15‐13.30
Dates: 16.09., 30.09., 28.10., 11.11., 18.11., 25.11., 02.12.


This course introduces students to sociological concepts, theories and empirical research on social networks. We begin by highlighting the origins of social network analysis, followed by a discussion of major concepts used in this line of social research. We continue by focusing on methods to collect data for whole networks. Then we turn to ego-centric networks and discuss several approaches that have been proposed to collect this kind of network data. Finally, we cover some of the most important theoretical approaches in social network analysis: the notion of social capital, the surprising importance of weak ties, the value of structural holes and how they can be exploited, and finally the connection between network theory and social inequality.

Students are required to attend all classes (one absence will be excused). Credits will be granted for active participation, an oral presentation and a paper on one of the themes of the seminar.
Active participation is demonstrated by regular attendance, by reading required basic articles, by preparing questions to initiate the discussion and by contributing to the discussion.
In oral presentations participants present key aspects of texts and themes; presentations (PowerPoint or similar) should be submitted to the instructor at least four days prior to the presentation.
Papers will usually focus on the same or similar aspect as the presentation and should be between 4,000 and 5,000 words long (excluding tables, figures, references). Papers have to be delivered to the instructor in electronic form (preferably as pdf-document) no later than January 31, 2023.
Basic references to sessions are given below; the underlined references are required readings for every participant. All texts will be provided to participants through the student portal ILIAS.

Participants may apply for a presentation by writing to the instructor. Please give your first, second and third priority. Themes will be allocated to participants in order of application (first come-first served).


Dates and Themes

16.09.    Introduction: History of network analysis
(Freeman 2004; Scott 2017: Chap. 2)

30.09.    Concepts
a) Personal and whole social networks
(Kadushin 2012: Chap. 2–3; Perry et al. 2018: Chap. 2)

b) Partitioning social networks
(Kadushin 2012: Chap. 4; Scott 2017: Chap. 7)


28.10.    Empirical approaches to whole social networks
a) A classical study
(Laumann/Pappi 1976: Chap. 5–7)

b) Newer studies
(Błoch et al. 2022; Tasselli 2015)


11.11.    Empirical approaches to egocentric social networks
a) Classical name generator approaches
(Burt 1984; Marsden 1987; McCallister/Fischer 1978)

b) Problems and new approaches
(Hampton 2022; Marsden 2003; Wolf 2006)


18.11.    a) Position generator approach
(Lin/Dumin 1986; van der Gaag et al. 2008)

b) Resource generator approach
(van der Gaag/Snijders 2005; Webber/Huxley 2007)


25.11.    Theoretical perspectives on social networks
a) Networks as social capital
(Bourdieu [1983] 1986; Chetty et al. 2022a,b; Norbutas/Corten 2018)

b) The strength of weak ties
(Granovetter 1973; Huszti et al. 2013)


02.12.   a) Structural holes
(Burt 2001; Burt 2015)

b) Social networks and inequality
(Alecu et al. 2021; Lin 1999)
S Elective Seminar: A Hands-On Introduction to Survey Experiments: Collecting Original Data on Demographic Change, Muslim Immigration and Shifting Group Boundaries (Seminar)
EN
Lecture type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Live & on-campus
Examination achievement:

response papers, presentation, contribution to data collection and final paper
Instructor(s):
Johanna Gereke
Date(s):
Wednesday  (weekly) 07.09.2022 – 07.12.202213:45 – 15:15B 143 Seminarraum; A 5, 6 Bauteil B
Description:
The purpose of this class is to learn how to conduct cutting-edge experimental social science research by gaining first-hand experience in replicating research published in flagship journals. Working as a class, we will replicate and extend a survey experiment on demographic change and group boundaries in Germany via original data collection. This course aims to contribute to the open science and replication movement by helping students to develop a transparency routine for their future (research) careers. In addition, this course will improve students’ data literacy by teaching them how to best do replications and provide them with practical knowledge about how to meet the highest standards of reproducibility when conducting and documenting empirical social science research.
S Elective Seminar: Comparative Methods and Process-Tracing Analysis (Seminar)
EN
Lecture type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Live & on-campus
Literature:
Goertz, G., & Mahoney, J. (2012). A Tale of Two Cultures: Qualitative and Quantitative Research in the Social Sciences. Princeton University Press.
Beach, D., & Pedersen, R. B. (2013). Process-Tracing Methods. University of Michigan Press.
Examination achievement:
Active participation and oral presentation during the seminar
Instructor(s):
Bernhard Ebbinghaus
Date(s):
Tuesday  (weekly) 06.09.2022 – 06.12.202210:15 – 11:45B 317 Seminarraum; A 5, 6 Bauteil B
Description:
The comparative method is according to Durkheim ‘the’ method of sociology. This seminar provides an introduction to comparative strategies and methods, particular those used in cross-national comparison of modern welfare states and market economies. In the seminar, the different quantitative and qualitative methods and strategies to compare internationally and to analyse processes over time will be discussed. It begins with an overview of the traditional approaches to historical and comparative sociology (Durkheim, Weber) and the differences in current research practice between variable-and case-oriented sociological analysis. Comparative welfare state analysis and the varieties of capitalism perspective use macro-comparative typologies to explain cross-national differences, using both qualitative and quantitative methods to explore cross-national differences. Qualitative comparative methods (QCA, fuzzy set), comparative or time-related quantitative methods (cluster analysis, pooled time series) will be discussed. In addition, the method of within-case analysis, in particular process tracing, that seeks to establish tests for evaluating evidence about causal mechanism over time will be discussed. The application of these methods and approaches will be illustrated by examples from comparative studies of welfare states and market economies. Finally, recent debates on the pro/cons of using comparative methods will be discussed.
S Elective Seminar: Organizational Theory (Seminar)
EN
Lecture type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Live & on-campus
Examination achievement:
one final term paper
Instructor(s):
Henning Hillmann
Date(s):
Thursday  (weekly) 08.09.2022 – 08.12.202210:15 – 11:45D 007 Seminarraum 2; B 6, 27–29 Bauteil D
Description:
This advanced seminar will explore classic and recent social science research that seeks to explain variation in organizational behavior and development. We will consider a variety of research questions that tap into both formal and informal ways of organizing: what kinds of institutions are necessary to make economic organization work? Where do such institutions come from? Why do we observe very different outcomes across contexts even though they share the same market-supporting institutions? Why do some organizations survive even though they face the most unfavorable environments? How do conditions at the time of an organization's birth shape its development? To address these and further questions, we will rely both on recent theoretical advances and on empirical studies in a various settings.
S Elective Seminar: Poverty and Social Exclusion in Europe (Seminar)
EN
Lecture type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Live & on-campus
Examination achievement:
Required examination: written term paper (max. 5000 words), deadline: Jan 22, 2023
Instructor(s):
Reinhard Pollak
Date(s):
Wednesday  (block date) 07.09.202208:30 – 11:45
Wednesday  (block date) 21.09.202208:30 – 11:45C 216 Seminarraum; A 5, 6 Bauteil C
Wednesday  (block date) 12.10.202208:30 – 11:45C 216 Seminarraum; A 5, 6 Bauteil C
Wednesday  (block date) 26.10.202208:30 – 11:45C 216 Seminarraum; A 5, 6 Bauteil C
Wednesday  (block date) 09.11.202208:30 – 11:45C 216 Seminarraum; A 5, 6 Bauteil C
Wednesday  (block date) 23.11.202208:30 – 11:45C 216 Seminarraum; A 5, 6 Bauteil C
Wednesday  (block date) 07.12.202208:30 – 11:45C 216 Seminarraum; A 5, 6 Bauteil C
Description:
Poverty and social exclusion are extreme forms of inequality in modern societies. In Europe, these phenomena show up in different forms and imply different consequences for the people at risk. The seminar will provide an introduction into various concepts, dimensions and measures of poverty and social exclusion. We will discuss theories on the causes of poverty and social exclusion, learn about most vulnerable groups in Europe and the variation of poverty and social exclusion in Europe. We focus on consequences of living in poverty and we discuss different policies throughout Europe to lower poverty.
S Elective Seminar: Social Norms and Mechanisms of Normative Change (Seminar)
EN
Lecture type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Live & on-campus
Recommended requirement:
Examination achievement:
Written project proposal.
Instructor(s):
Amalia Alvarez Benjumea
Date(s):
Wednesday  (weekly) 07.09.2022 – 07.12.202212:00 – 13:30C 216 Seminarraum; A 5, 6 Bauteil C
Description:
Social norms can be defined as shared rules that provide the standard of behavior within a wide range of settings (Coleman, 1990; Hechter and Opp, 2001; Bicchieri, 2005), and the behavior that people are to expect in particular situations. This course will give an introduction to social norms: what they are, their dynamics, and how they change. Often, social norms are beneficial and help coordination within groups. However, social norms can also be inefficient and very difficult to change. This course will deal with mechanisms of normative change and how a change in norms can bring about social change.

The course will cover the basic theory of social norms and will address questions, such as why Individuals are motivated to understand norms in their social environment, how are social norms inferred from the context, how to distinguish them from other social constructs, and how norms change. Besides, a main part of the course will be devoted to investigating how social norms can help understand different social phenomena. For instance, the course will cover how social norms regulate the support for stigmatized political ideologies (Dinas et al., 2022), the expression of prejudice (Alvarez-Benjumea and Winter, 2018), or how collective risks are managed (Szekely et al., 2021)

This is a highly interactive course so participation is expected. Students will present their proposal for a study investigating social norms. The proposals are open to different methods and topics, but students are encouraged to apply the theory of social norms to their area of interest. Finally, at the end of the course, participants are expected to hand in a written project proposal that expands their presentation.

Psychology

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/early December (fall semester) or by the end of May/early June (Spring semester) regarding their course choice.

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: int-psy uni-mannheim.de.

AA1/BA1: Multivariate Auswertungsverfahren (Lecture)
DE
Lecture type:
Lecture
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
German
Hours per week:
2
Attendance:
Live & on-campus
Learning target:
Nach Abschluss des Moduls können Studierende:
  • geeignete Versuchspläne und statistische Auswertungsverfahren für komplexe Fragestellungen selbstständig auswählen und anwenden
  • multivariate Auswertungen mit Hilfe entsprechender Computerprogramme vornehmen, experimentelle und quasi-experimentelle Untersuchungsdesigns in der Grundlagen- und Evaluationsforschung planen und kritisch bewerten
  • spezielle Verfahren der Datenerhebung und Datenanalyse adäquat und zielgerichtet einsetzen
Recommended requirement:
Literature:
  • Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences. Mahwah, NJ: Erlbaum.
  • Kline, R. B. (2011). Principles and practice of structural equation modeling. New York: Guilford.
  • Raykov, T., & Marcoulides, G. A. (2006). A first course in structural equation modeling. Mahwah, NJ: Erlbaum.
  • Raykov, T., & Marcoulides, G. A. (2008). An introduction to applied multivariate analysis. New York: Routledge.
  • Stevens, J. P. (2009). Applied multivariate statistics for the social sciences. New York: Routledge.
  • Tabachnick, B. G., & Fidell, L. S. (2007). Using multivariate statistics. Boston: Pearson.
Examination achievement:
Klausur
Instructor(s):
Thorsten Meiser
Date(s):
Tuesday  (weekly) 06.09.2022 – 06.12.202208:30 – 10:00B 144 Hörsaal; A 5, 6 Bauteil B
Wednesday  (single date) 21.12.202208:30 – 10:00ZOOM-Lehre-068; Virtuelles Gebäude
Description:
In dieser Vorlesung werden die formalen Grundlagen und zentralen Verfahren der multivariaten Statistik eingeführt und empirisch illustriert. Dabei werden zunächst die multiple Regression, das Allgemeine Lineare Modell und die Mehrebenenanalyse behandelt. Darauf aufbauend werden multivariate Auswertungsverfahren für Mittelwertsvergleiche und zur Diskrimination sowie Verfahren der exploratorischen Faktorenanalyse vorgestellt. Abschließend erfolgt eine Einführung in lineare Strukturgleichungsmodelle.

Zu den einzelnen Verfahren werden die mathematischen Grundlagen dargelegt und Anwendungsmöglichkeiten und Einsatzgebiete in der psychologischen Forschung diskutiert. Als optionale Vertiefung zu der Vorlesung wird ein Seminar als Wahlveranstaltung im Modul AC bzw. BC angeboten, in dem die konkrete Anwendung der Verfahren und die Interpretation der Ergebnisse anhand empirischer Datensätze eingeübt werden können.
AB1/BB1: Testen und Entscheiden (Lecture)
DE
Lecture type:
Lecture
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
German
Hours per week:
2
Attendance:
Live & on-campus
Learning target:
Nach Abschluss des Moduls können Studierende:
  • Strategien der diagnostischen Entscheidung und Klassifikation in verschiedenen Anwendungsfeldern wählen und bewerten
  • die aktuellen Entwicklungen der testtheoretischen Modellbildung und Testkonstruktion darlegen
  • diagnostische Urteile für konkrete psychologische Fragestellungen selbstständig vornehmen
Examination achievement:
Klausur
Instructor(s):
Dietrich Wagener
Date(s):
Friday  (weekly) 09.09.2022 – 09.12.202213:45 – 15:15SN 169 Röchling Hörsaal; Schloss Schneckenhof Nord
Description:
Inhalt:
Ausgewählte Verfahren der Leistungs- und Persönlichkeitsdiagnostik, Strategien der Diagnostik, mögliche Fehlerarten, rechtliche und gesellschaftliche Rahmenbedingungen sowie Kosten-Nutzen-Analysen der diagnostischen Entscheidung und Klassifikation.

Teilnehmer:
keine Teilnehmerbegrenzung.

Anmeldung:
Die Anmeldung erfolgt im Studierendenportal.

Sprechstunde:
s. http://www.psychologie.uni-mannheim.de/psycho2/wagener.html

Link zur Veranstaltungsseite:
www.psychologie.uni-mannheim.de/te
AD1/BD6: Vertiefung Klinische Psychologie und Psychopathologie (Lecture)
DE
Lecture type:
Lecture
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
German
Hours per week:
2
Attendance:
Live & on-campus
Examination achievement:
Klausur
Instructor(s):
Antje Gerdes, Georg Alpers
Date(s):
Monday  (weekly) 05.09.2022 – 05.12.202212:00 – 13:30SN 163 Manfred Lautenschläger Hörsaal; Schloss Schneckenhof Nord
Description:
Diese Ringvorlesung vermittelt vertiefte Kenntnisse zu Diagnostik, Ätiologie sowie Störungs- und Behandlungswissen der Klinischen Psychologie und Psychopathologie des Kindes-, Jugend- und Erwachsenenalters. Zu den behandelten Themengebieten gehört u.a. die kritische Auseinandersetzung mit der klassifikatorischen Diagnostik und mit aktuellen Kontroversen der Klinische Psychologie. Darüber hinaus befassen sich die Teilnehmerinnen und Teilnehmer mit aktuellen Forschungstätigkeiten und etablierten Forschungsmethoden aus ausgewählten Bereichen der Klinischen Psychologie und Psychopathologie.
AE1/BD5: Vertiefung Kognitive Psychologie (Lecture)
EN
Lecture type:
Lecture
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Live & on-campus
Learning target:
Knowledge of the main research strategies and theoretical developments in the study of memory; ability to discuss empirical studes critically
Recommended requirement:
Literature:
  • Farrell, S. & Lewandowsky, S. (2018). Computational modeling of cognition and behavior. Cambridge, UK: Cambridge University Press. (Chapters 1–5, 10, 12)
  • Quinlan, P. & Dyson, B. (2008). Cognitive psychology. Harlow, UK: Pearson.(Chapters 1 & 2)
Examination achievement:
Final written exam (90 minutes)
Instructor(s):
Arndt Bröder
Date(s):
Thursday  (weekly) 08.09.2022 – 08.12.202215:30 – 17:00B 244 Hörsaal; A 5, 6 Bauteil B
Description:
The lecture will present cutting edge research conducted in Cognitive Psychology at the University of Mannheim.
After an introductory overview of Cognitive Psychology and its advanced methods by A. Bröder, various researchers will present their current work. The following reseacrher are planned as lecturers (changes possible): Dr. Nina Arnold, Dr. Martin Brandt, Prof. A. Bröder, Prof. E. Erdfelder, Dr. Michael Gräf, Dr. Meike Kroneisen, Dr. Lena Naderevic, Prof. Rüdiger Pohl und Dr. Monika Undorf.

Final test: written exam (M.Sc. students), language German or English.

Die Vorlesung wird verschiedene Forschungsthemen der Kognitiven Psychologie anhand der aktuell in Mannheim betriebenen kognitionspsychologischen Forschung vertiefen.
Nach einem einführenden Überblick über die Kognitionspsychologie und spezifische methodische Probleme (4–5 Termine, gestaltet durch A. Bröder) werden in Form einer Ringvorlesung aktuelle Forschungen der Lehrstühle für Allgemeine Psychologie und für Kognitive und Differentielle Psychologie vorgestellt.  Die Dozentinnen und Dozenten sind voraussichtlich: Dr. Nina Arnold, Dr. Martin Brandt, Prof. A. Bröder, Prof. E. Erdfelder, Dr. Michael Gräf, Dr. Meike Kroneisen, Dr. Lena Naderevic, Prof. Rüdiger Pohl und Dr. Monika Undorf.
Prüfungsleistung: Klausur
Empfohlen für: Studierende des Masterprogramms Kognitive und Klinische Psychologie (1. Semester) und des Masterprogramms Arbeit, Wirtschaft und Gesellschaft (3. Semester)
AE3: Schwerpunkte der kognitionspsychologischen Forschung (Seminar)
DE
Lecture type:
Seminar
ECTS:
Course suitable for:
Master
Language of instruction:
German
Attendance:
Live & on-campus
Examination achievement:
aktive Mitarbeit und Referat
Instructor(s):
Arndt Bröder
Date(s):
Tuesday  (weekly) 06.09.2022 – 06.12.202213:45 – 15:15A 102 Seminarraum; B 6, 23–25 Bauteil A
Description:
In diesem Seminar werden Forschungsthemen des Lehrstuhls für Allgemeine Psychologie und aktuelle Projektthemen besprochen und vertieft. Ausgehend von früheren Studien zu Entscheiden und Urteilen, die von A. Bröder zusammenfassend präsentiert werden, besprechen wir aktuelle Arbeiten aus den letzten beiden Jahren, die diese Themen aufgegriffen und weitergeführt haben. Für einzelne Studien besteht auch die Möglichkeit, den Autor*innen selbst per Zoom Fragen zu stellen bzw. mit ihnen zu diskutieren.
AE3: Schwerpunkte der kognitionspsychologischen Forschung: Globale Gedächtnismodelle (Seminar)
DE
Lecture type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
German
Hours per week:
2
Attendance:
Live & on-campus
Literature:
wird in der Veranstaltung bekannt gegeben
Instructor(s):
Martin Brandt
Date(s):
Tuesday  (weekly) 06.09.2022 – 06.12.202215:30 – 17:00B 143 Seminarraum; A 5, 6 Bauteil B
Description:
Inhalt:
Die Metakognitionsforschung untersucht die bemerkenswerte Fähigkeit des Menschen, sein eigenes Denken zu reflektieren. Zutreffende Metakognitionen sind unerlässlich, um sich selbst und andere richtig einzuschätzen und eigenes Verhalten effektiv zu steuern. Aber auf welcher Informationsbasis beruhen Metakognitionen? Verfügen auch nichtmenschliche Säugetiere über Metakognitionen? Sind Menschen in der Lage, die Kognitionen anderer Personen zutreffend einschätzen? Wie entwickeln sich Metakognitionen über die Lebensspanne? Auf welche Weise können Metakognitionen gefördert und trainiert werden? Gehen psychische Störungen mit Einschränkungen im Bereich der Metakognitionen einher? In dem Seminar werden diese und weitere Fragen auf Basis aktueller Fachliteratur diskutiert.

Empfohlen für:
Studierende im M.Sc. Psychologie im 2. Fachsemester.

Erworben werden kann:
Leistungsnachweis gemäß der Prüfungsordnung für den Studiengang M.Sc. Psychologie.

Anmeldung:
Über das Studierendenportal

Sprechstunde:
Nach Vereinbarung
AG1/BD1: Vertiefung Arbeits- und Organisationspsychologie (Lecture)
EN
Lecture type:
Lecture
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Online, live
Literature:
Journal papers; reading assignments will be given at the beginning of the semester.
Examination achievement:
schriftliche Hausarbeit
Instructor(s):
Sabine Sonnentag
Date(s):
Thursday  (weekly) 08.09.2022 – 08.12.202217:15 – 18:45B 244 Hörsaal; A 5, 6 Bauteil B
Thursday  (weekly) 08.09.2022 – 08.12.202217:15 – 18:45ZOOM-Lehre-008; Virtuelles Gebäude
Description:
Diese Vorlesung bietet eine Einführung in das Fach Arbeits- und Organisationspsychologie und stellt dabei wesentliche Themen vor, unter anderem Arbeitsmotivation, Stress, Arbeitsgruppen, Führung, Arbeitsanalyse, Leistungsbeurteilung, Personalauswahl, Training. Es wird ein erster Überblick über wichtige forschungs- und praxisbezogene Fragestellungen vermittelt, wobei insbesondere die empirische Basis des Faches betont wird. Diese Veranstaltung empfiehlt sich für alle Studierenden als Einstieg in das Fach „Arbeits- und Organisationspsychologie”.
AG2/BD2: Vertiefung Konsumentenpsychologie und Ökonomische Psychologie (Lecture)
DE
Lecture type:
Lecture
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
German
Hours per week:
2
Attendance:
Live & on-campus
Examination achievement:
für benotete Leistung: Hausarbeit
Instructor(s):
Michaela Wänke
Date(s):
Thursday  (weekly) 08.09.2022 – 08.12.202213:45 – 15:15B 243 Hörsaal; A 5, 6 Bauteil B
AG4/BD4: Vertiefung Sozialpsychologie (Lecture)
DE
Lecture type:
Lecture
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
German
Hours per week:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
Wird in der Veranstaltung bekannt gegeben
Examination achievement:
(unbenotet) Klausur
Instructor(s):
Herbert Bless, Jochen Gebauer
Date(s):
Monday  (weekly) 05.09.2022 – 05.12.202213:45 – 15:15B 243 Hörsaal; A 5, 6 Bauteil B
Monday  (weekly) 05.09.2022 – 05.12.202213:45 – 15:15ZOOM-Lehre-143; Virtuelles Gebäude
Description:
AG4/BD4: VERTIEFUNG SOZIALPSYCHOLOGIE

Durchgeführt von: Prof. Dr. Herbert Bless/ Prof. Dr. Jochen Gebauer

Raum: B243

Teilnahmemöglichkeit: Präsenz live (not recorded)

Zeit: Mo 13.45 – 15.15 Uhr

Erster Termin: 05.09.2022

Inhalt: In der Veranstaltung sollen aufbauend auf dem im Bachelorstudiengang erworbenen Wissen ausgewählte Forschungsgebiete vertiefend behandelt werden. Im Einzelnen können Themen behandelt werden wie Umfrageforschung/ Kontexteffekte in Fragebogen, subjektives Wohlbefinden (Glück und Zufriedenheit), Kultur als sozialer Kontext und evolutionäre Erklärungen für Sozialverhalten.

Erworben werden können: 4 ECTS

Anmeldung: Über das Studierendenportal

Sprechstunde:
Prof. Dr. Herbert Bless nach Anmeldung, siehe Homepage, A 433
Prof. Dr. Jochen Gebauer: Kontaktmöglichkeiten finden Sie auf www.psy.de

Materialien: Über das Studierendenportal
BC2 (auch AC1): Forschungs- und Anwendungstechniken 2: Berufliche Eignungsdiagnostik in der Personalauswahl und Laufbahnberatung (Seminar)
DE
Lecture type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
German
Hours per week:
2
Attendance:
Live & on-campus
Examination achievement:
Klausur oder Hausarbeit
Instructor(s):
Thorsten Meiser
Date(s):
Monday  (single date) 12.09.202208:30 – 10:00A 102 Seminarraum; B 6, 23–25 Bauteil A
Monday  (single date) 26.09.202208:30 – 11:45A 102 Seminarraum; B 6, 23–25 Bauteil A
Monday  (single date) 10.10.202208:30 – 10:00A 102 Seminarraum; B 6, 23–25 Bauteil A
Monday  (single date) 17.10.202208:30 – 11:45A 102 Seminarraum; B 6, 23–25 Bauteil A
Monday  (single date) 24.10.202208:30 – 11:45A 102 Seminarraum; B 6, 23–25 Bauteil A
Monday  (single date) 07.11.202208:30 – 11:45A 102 Seminarraum; B 6, 23–25 Bauteil A
Monday  (single date) 14.11.202208:30 – 11:45A 102 Seminarraum; B 6, 23–25 Bauteil A
Monday  (single date) 21.11.202210:15 – 11:45A 102 Seminarraum; B 6, 23–25 Bauteil A
Monday  (single date) 28.11.202210:15 – 11:45A 102 Seminarraum; B 6, 23–25 Bauteil A
Description:
Techniken der beruflichen Eignungsdiagnostik können für unterschiedliche Personalmaßnahmen eingesetzt werden. Im Seminar werden zwei Anwendungsszenarien (in der Personalauswahl und für die berufliche Laufbahnberatung) genauer untersucht werden. Mit Mittelpunkt stehen zunächst grundlegende Herangehensweisen und Verfahrenstechniken der beruflichen Eignungsdiagnostik. Anhand eines fiktiven Anwendungsfalls sollen dann eignungsdiagnostische Untersuchungen im Grundprinzip geplant und auch praktisch umgesetzt werden. Die Untersuchungsergebnisse sollen anwendungs- und zielpersonengerecht mündlich und schriftlich kommuniziert werden.
BC2 (auch AC1): Forschungs- und Anwendungstechniken 2: Creating experiments with lab.js (Seminar)
EN
Lecture type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Live & on-campus
Registration procedure:
If exchange students require a grade, the course will be graded.

PSYCHOLOGY EXCHANGE STUDENTS will be contacted by the international affairs coordinator for Psychology (int-psy uni-mannheim.de) via mail to indicate their course preferences.

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 (int-psy uni-mannheim.de).
Literature:
Software:
OpenSesame can be downloaded for free under http://osdoc.cogsci.nl/index.html, where you can also find an extensive documentation.

Literature:
Mathôt, S., Schreij, D., & Theeuwes, J. (2012). OpenSesame: An open-source, graphical experiment builder for the social sciences. Behavior Research Methods, 44(2), 314–324. http://dx.doi.org/10.3758/s13428–011-0168–7 (Open Access)
Examination achievement:
Creating an experiment (specific requirements discussed in course)
Instructor(s):
Sophie Scharf
Date(s):
Friday  (single date) 07.10.202210:15 – 15:15108 CIP-Pool; B 6, 30–32 Bauteil E-F
Saturday  (single date) 08.10.202210:15 – 17:00108 CIP-Pool; B 6, 30–32 Bauteil E-F
Friday  (single date) 21.10.202210:15 – 15:15108 CIP-Pool; B 6, 30–32 Bauteil E-F
Saturday  (single date) 22.10.202210:15 – 17:00108 CIP-Pool; B 6, 30–32 Bauteil E-F
Description:
Please note that this is a block course.

OpenSesame is a free, open-source, and cross-platform software for creating laboratory experiments. Many standard tasks can be implemented in OpenSesame via drag and drop using its graphical user interface. In addition, complex tasks can be realized through the underlying programming language Python. The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of OpenSesame. Besides, the workshop will introduce plug-ins that extend OpenSesame for specific purposes,  e.g., the psynteract plug-ins that implement real-time interactions between participants (as required in many economic games), and the mousetrap plug-ins that implement mouse-tracking during decision tasks (a method that is becoming increasingly popular in the cognitive sciences to measure preference development). Additional topics can be covered depending on the preferences of the workshop participants. No prior knowledge of the software or Python is required.
BC2 (auch AC1): Forschungs- und Anwendungstechniken: Regression and Classification – Basic and Advanced Topics with Illustrations in R (Seminar)
EN
Lecture type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Live & on-campus
Registration procedure:
ATTENTION: Should the pandemic situation allow it, we reserve the right to switch back to attendance mode during HWS 22. The digital alternative remains in place.
Literature:
Dunn, P. K., & Smyth, G. K. (2018). Generalized linear models with examples in R. New York: Springer.
James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An intro¬duction to statistical learning with applications in R. New York: Springer.
Examination achievement:
Master students: Written exam
​​​​​​​Doctoral reseachers (CDSS): None
Instructor(s):
Thorsten Meiser
Date(s):
Monday  (weekly) 05.09.2022 – 05.12.202210:15 – 11:45108 CIP-Pool; B 6, 30–32 Bauteil E-F
Tuesday  (single date) 13.12.202214:00 – 15:30ZOOM-Lehre-053; Virtuelles Gebäude
Description:
The seminar gives an overview of
  • standard and advanced linear models (incl. multiple regression with continuous and categorical predictors, product terms, regularization methods, and nonlinear regression),
  • generalized linear models (incl. logistic regression, Poisson models, and log-linear models), and
  • supervised and unsupervised classification methods (incl. discriminant analysis, clustering methods, regression trees, and mixture models).
Regression and classification models are essential in many fields of psychological research as well as in clinical and epidemiological contexts. In this seminar, the models are introduced with their mathematical and statistical foundations, including model equations, methods of parameter estimation, and criteria of statistical inference. Statistical concepts and model applications are illustrated with simulations and through analyses of real data with R.

The language of instruction is English.
BF1/BG1: Spezielle Themen der Arbeits- und Organisationspsychologie I/II – Arbeit und Gesundheit (Seminar)
DE
Lecture type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
German
Hours per week:
2
Attendance:
Live & on-campus
Literature:
Die Literatur wird in der konstituierenden Sitzung bekannt gegeben.
Examination achievement:
Hausarbeit
Instructor(s):
Anne Casper
Date(s):
Tuesday  (weekly) 06.09.2022 – 06.12.202210:15 – 11:45C 112 Unterrichtsraum; A 5, 6 Bauteil C
Tuesday  (single date) 04.10.202210:15 – 11:45ZOOM-Lehre-008; Virtuelles Gebäude
Tuesday  (single date) 11.10.202210:15 – 11:45ZOOM-Lehre-008; Virtuelles Gebäude
Description:
Unternehmen kümmern sich zunehmend mehr um die Gesundheit ihrer Mitarbeiter/innen. Dies schlägt sich in entsprechenden Führungskonzepten sowie konkreten gesundheitsfördernden Maßnahmen nieder. Das Seminar beschäftigt sich somit mit der Frage, wie Unternehmen handeln können, um die Gesundheit der Mitarbeiter/innen langfristig zu erhalten. Dabei soll auch das individuelle gesundheitsbezogene Handeln der Mitarbeiter/innen thematisiert werden.
 
Das Seminar besteht aus zwei Teilen. Im ersten Teil erarbeiten wir gemeinsam anhand aktueller Forschungsliteratur den Forschungsstand zum Thema. In dieser Zeit haben die Studierenden Gelegenheit, sich für ein Thema zu entscheiden, das sie im Rahmen ihrer Hausarbeit sowie im zweiten Teil des Seminars in Projektgruppen vertieft bearbeiten.
 
Im Rahmen von Projektgruppen werden die Studierenden im zweiten Teil des Seminars die gelernten und selbst erarbeiteten Inhalte in Form von Broschüren, Postern etc. praxisnah umsetzen.
Am Ende des Seminars erfolgt eine Präsentation der Projektgruppenergebnisse.
 
Neben einer inhaltlichen Diskussion legt das Seminar auch besonderes Gewicht auf die arbeits- und organisationspsychologischen Methoden, mit denen Gesundheit bei der Arbeit untersucht wird.
BF1/BG1: Spezielle Themen der Arbeits- und Organisationspsychologie I/II – Emotionsregulation (Seminar)
EN
Lecture type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
English
Hours per week:
2
Attendance:
Live & on-campus
Literature:
Will be announced in the seminar
Examination achievement:
Hausarbeit
Instructor(s):
Hadar Nesher Shoshan
Date(s):
Tuesday  (weekly) 06.09.2022 – 06.12.202210:15 – 11:45C 116 Seminarraum; A 5, 6 Bauteil C
Description:
This seminar will deal with the topic of emotion regulation at the workplace. In increasing interdependence work environments and a growing service sector, emotion regulation is an important issue for consideration. In this seminar, we therefore deal with what is the role of emotion regulation in everyday work, what are the antecedents and consequences of different emotion regulation strategies, and how organizations take part in these processes. We will discuss theoretical models, as well as empirical findings, and practical implications.
BH1/BI1/BC2: Spezielle Themen der Pädagogischen Psychologie I/II (Seminar)
DE
Lecture type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
German
Hours per week:
2
Attendance:
Live & on-campus
Learning target:
Es sollen u.a. Erkenntnisse dazu gewonnen werden…
… wie sich Theorien ausdifferenzieren und sich neue Konstrukte entwickeln (Wissenschaftstheorie)
… wie sich Forschungslücken identifizieren lassen
… wie sich psychologische Theorie in Technologie überführen lässt
Recommended requirement:
Literature:
Wird im Seminar bekannt gegeben
Examination achievement:
Schriftliche Ausarbeitung eines Research Proposals oder eines Verfahrenspitch
Instructor(s):
Stefan Janke
Date(s):
Tuesday  (weekly) 06.09.2022 – 06.12.202215:30 – 17:00A 102 Seminarraum; B 6, 23–25 Bauteil A
Description:
Gegenstand des Seminars sind aktuelle Forschungstrends in der Pädagogischen Psychologie und dabei ganz besondere innerhalb der pädagogischen Motivationsforschung.

In dem Kurs werden aktuelle Forschungsdebatten zu neuen motivationalen Konstrukten (GRIT), sowie zur Erweiterung bestehender Theorien (Zielforschung) kontrovers diskutiert. Weitergehend wird der Wert aktueller Forschung für die Praxis thematisiert (sozialpsychologische Interventionen im Bildungskontext).

Das Seminar wird gegenstandsbezogen Forschungsprozesse und auch Anreizstrukturen im Wissenschaftssystem thematisieren, so dass ein tieferer Einblick in den Wissenschaftsbetrieb gelingt. Diesbezüglich wird auch aktuelle motivationspsychologische Forschung des Lehrstuhl für Pädagogische Psychologie zu Betrugsverhalten, Motivation von Hochschuldozierenden und Studienwahlmotivation thematisiert
BM1/BN1 BM2/BN2: Denken und Verhalten im sozialen Kontext: Sozioökologische Einflüsse in Theorie und Anwendung (Seminar)
DE
Lecture type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
German
Hours per week:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
Wird in der Veranstaltung bekannt gegeben.
Examination achievement:
Hausarbeit
Instructor(s):
Tobias Ebert-Berkessel
Date(s):
Tuesday  (weekly) 06.09.2022 – 06.12.202217:15 – 18:45C 112 Unterrichtsraum; A 5, 6 Bauteil C
Description:
Modul: BM1/BN1: Ausgewählte Probleme der Sozialpsychologie I/II

Titel: Sozioökologische Einflüsse in Theorie und Anwendung

Durchgeführt von: Dr. Tobias Ebert

Termin: Dienstag, 17:15–18:45 Uhr

Veranstaltungszeitraum: 06.09.-06.12.2022

Inhalt:
Beeinflusst unsere Makroumwelt wie wir denken, fühlen, und handeln? Wirkt sich bspw. das Wetter auf unsere Stimmung aus, verändern Wirtschaftskrisen wie wir miteinander umgehen, und verhalten sich Leute in der Stadt anders als auf dem Land? Mit Fragen wie diesen beschäftigt sich die Sozioökologische Psychologie. Im Rahmen des Seminars werden die Grundlagen der Sozioökologischen Psychologie vorgestellt und in die psychologische Forschungslandschaft eingeordnet. Wir werden verschiedene Dimensionen von sozioökologischen Einflüssen (von demographischen, über ökonomische, bis zu naturräumlichen Umweltfaktoren) kennenlernen und diskutieren. Hierauf aufbauend werden wir versuchen herauszuarbeiten, ob und wie sich aus den bestehenden Befunden Handlungsempfehlungen für die politische Praxis ableiten lassen.

Erworben werden können: 4 ECTS

Anmeldung: Portal2

Sprechstunde: Nach Vereinbarung
BM1/BN1: Ausgewählte Probleme der Sozialpsychologie I/II: Sozialpsychologische Theorien in der Anwendung (Seminar)
DE
Lecture type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
German
Hours per week:
2
Attendance:
Live & on-campus
Recommended requirement:
Literature:
Wird in der Veranstaltung bekannt gegeben.
Examination achievement:
Hausarbeit (schriftliche Ausarbeitung der Projektarbeit)
Instructor(s):
Jennifer Eck
Date(s):
Monday  (weekly) 05.09.2022 – 05.12.202212:00 – 13:30B 318 Seminarraum; A 5, 6 Bauteil B
Monday  (single date) 31.10.202212:00 – 13:30ZOOM-Lehre-069; Virtuelles Gebäude
Description:
Modul: BM1/BN1: Ausgewählte Probleme der Sozialpsychologie I/II

Titel: Sozialpsychologische Theorien in der Anwendung

Durchgeführt von: Dr. Jennifer Eck

Raum: B 318 (A5, 6)

Termin: Montag, 12:00–13:30 Uhr

Veranstaltungszeitraum: 05.09.-05.12.2022

Inhalt:
Die (Weiter-)Entwicklung von Theorien ist ein fundamentaler Bestandteil der Wissenschaft. Idealerweise helfen uns Theorien dabei, bestimmte Ereignisse und Phänomene besser zu verstehen. Durch die Beschreibung von kausalen Mechanismen zeigen Theorien Möglichkeiten auf, um in Phänomene eingreifen und den Verlauf von Ereignissen verändern zu können. Die praktische Anwendung von Theorien zum Lösen von konkreten Problemen wird häufig aber dadurch erschwert, dass die Theorien relativ abstrakt formuliert sind. Im Rahmen des Seminars werden verschiedene sozialpsychologische Theorien näher beleuchtet und Möglichkeiten diskutiert, wie die Theorien zum Lösen konkreter Probleme in unterschiedlichen Kontexten angewandt werden können. 

Erworben werden können: 4 ECTS

Anmeldung: Portal2

Sprechstunde: Nach Vereinbarung
Einführung in die Medienpsychologie / Introduction to Media Psychology (Lecture)
DE
Lecture type:
Lecture
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
German
Hours per week:
2
Attendance:
Live & on-campus
Registration procedure:
Registration: All incoming exchange students at the School of Humanities need to register for their courses via Portal2. For further details, please check the instructions for course registration or contact incoming phil.uni-mannheim.de.

Anmeldung: Alle Austauschstudierenden der Philosophischen Fakultät müssen sich über Portal2 für ihre Kurse anmelden. Weitere Informationen finden Sie in unserer Anleitung oder wenden Sie sich an incoming phil.uni-mannheim.de.
Literature:
Literatur zur Vorbereitung:

Trepte, S., Reinecke, L., & Schäwel, J. (2021). Medienpsychologie (3. Auflage). Stuttgart: Kohlhammer.

Krämer, N. C., Schwan, S., Unz, D., & Suckfüll, M. (2016). Medienpsychologie: Schlüsselbegriffe und Konzepte. Stuttgart: Kohlhammer.

Weitere vorzubereitende Pflichtlektüre für die jeweiligen Sitzungen wird in der Veranstaltung bekanntgegeben.
Examination achievement:
Klausur
Instructor(s):
Sarah Lutz
Date(s):
Tuesday  (weekly) 06.09.2022 – 06.12.202215:30 – 17:00308 Seminarraum; B 6, 30–32 Bauteil E-F
Tuesday  (single date) 11.10.202213:45 – 15:15O 048 Seminarraum; Schloss Ostflügel
Friday  (single date) 10.02.202310:15 – 11:45405 Seminarraum; B 6, 30–32 Bauteil E-F
Description:
Die Art und Weise, wie wir miteinander kommunizieren, unsere Freizeit gestalten und unserer Arbeit nachgehen, hat sich in den letzten Jahren aufgrund der zunehmenden Verbreitung der Medien stark verändert. Die Fragen, wie und warum Menschen bestimmte Medienangebote nutzen, auf welche Weise sie diese verarbeiten und welche Folgen daraus resultieren, sind daher von hoher Bedeutung. Einige Beispiele sind: (1) Wieso schauen wir gerne traurige Filme, obwohl Menschen doch eigentlich lieber fröhlich sein wollen? (2) Welchen Einfluss hat politische Satire (z. B. Fernsehsendungen wie die Heute-Show) auf die Einstellungen und Wahlabsichten der WählerInnen? (3) Wie verändert computervermittelte Kommunikation (z. B. über Messenger-Dienste wie WhatsApp oder soziale Netzwerkseiten wie Instagram) unsere zwischenmenschlichen Beziehungen? Zur Beantwortung dieser und vieler weiterer Fragen werden die wichtigsten medienpsychologischen Ansätze/Theorien/Modelle aus den Bereichen der Medienselektion, -rezeption und -wirkung behandelt, in einem anwendungsbezogenen Kontext diskutiert und anhand aktueller Forschungsergebnisse aus wissenschaftlichen Fachzeitschriften vertieft. Die Studierenden nehmen dabei aktiv an den Sitzungen teil und arbeiten selbstorganisiert auch außerhalb der Sitzungen.

Contact School of Social Sciences

Incomings Political Science

Dr. Gledis Londo (she/her)

Dr. Gledis Londo (she/her)

Departmental Exchange Coordinator Political Science
M.A. and B.Ed./M.Ed., Exchange Students Political Science
University of Mannheim
School of Social Sciences
A 5, 6
Building A – Room A 418
68159 Mannheim
Consultation hour(s):
Please book an appointment:
https://www.sowi.uni-mannheim.de/online-beratung/gledis-londo/

Incomings Psychology and Sociology

Janina Heker (she/her), M.A.

Janina Heker (she/her), M.A.

Departmental Exchange Coordinator for Sociology and Psychology
University of Mannheim
School of Social Sciences
A 5, 6
Building A – Room A 416
68159 Mannheim