Social Sciences – Master (all)
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/
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
Course type:
Seminar
ECTS:
10.0
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
On-campus and online, live
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.
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 Ph.D.
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.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in Comparative Politics: Political Behavior in Context (Seminar)
EN
Course type:
Seminar
ECTS:
10.0
Course suitable for:
Master
Language of instruction:
English
Attendance:
Online, live
Examination achievement:
Term Paper (ca. 8.000 words)
Instructor(s):
Prof. Dr. Harald Schoen
Description:
Political behavior takes place in context. This statement is a truism and implies several challenges at the same time. Context is a multidimensional concept comprising – inter alia – social, political, and institutional features. At the conceptual and theoretical level, the diversity of dimensions requires careful consideration of how to integrate contextual features into individual-level models of political behavior. Moreover, combining data from different levels of aggregation to examine the role of contexts in individual-level behavior raises several methodological issues. In this seminar, we will address the conceptual, theoretical, and methodological issues in the analysis of contextual effects on individual-level political behavior. Students will review empirical studies in the field and prepare research papers in which they analyze specific questions using available data sets.
Advanced Topics in International Politics: Agents of Political Violence (Seminar)
EN
Course type:
Seminar
ECTS:
10.0
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
Online, live
Examination achievement:
Research Paper
Instructor(s):
Prof. Ph. D. Sabine Carey
Description:
- One book review (1,000 words)
- One written feedback on a student’s research proposal
- Preparing and initiating one seminar discussion (likely to be done as a group assignment)
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Advanced Topics in International Politics: Crises and Polarization (Seminar)
EN
Course type:
Seminar
ECTS:
10.0
Course suitable for:
Master
Language of instruction:
English
Attendance:
On-campus and online, live
Literature:
Basic reading:
Hernán, Miguel A. and James M. Robins. 2020. Causal Inference. What If. Boca Raton: Chapman & Hall/
Angrist, Joshua D. and Jörn-Steffen Pischke. 2008. Mostly Harmless Econometrics: An Empiricist’s Companion. Princeton University Press.
Hernán, Miguel A. and James M. Robins. 2020. Causal Inference. What If. Boca Raton: Chapman & Hall/
Angrist, Joshua D. and Jörn-Steffen Pischke. 2008. Mostly Harmless Econometrics: An Empiricist’s Companion. Princeton University Press.
Examination achievement:
Term Paper
Instructor(s):
Prof. Dr. Thomas König
Description:
Crises and Polarization
Crises play an important role in the causal literature, which is receiving increasing attention in political science. Compared to conventional associational analyses, which draw conclusions from data relationships respectively their distributions, questions about causality ask for the efficacy of a policy, the causes for poverty etc., which require knowledge about the data generation process. Because causal analysis goes one step further as its aim is to infer not only beliefs or probabilities under static conditions, but also the dynamics of beliefs under changing conditions, for example, changes induced by treatments or external interventions, crises can serve as a methodological instrument. The structure of the course divided into two parts.
The first part devotes exclusive attention to causal inference methods (duration about 45 minutes). The goal is to learn the methodological tools of evidence-based political science. After a short break we will discuss applications in the second part, which mainly investigate shocks/
Requirements: The requirements consist of a presentation and a term paper. To understand causal inference we will mainly read Hernán, Miguel A. and James M. Robins. 2020. Causal Inference. What If and partly Angrist, Joshua D. and Jörn-Steffen Pischke. 2008. Mostly Harmless Econometrics: An Empiricist’s Companion. Princeton University Press.
All participants need to prepare the listed readings (see syllabus in Ilias Group) in a manner that allows to discuss the pros and cons of each topic. Each reading will be presented by one participant (15 minutes presentation). These presentations have to be circulated latest on Mondays 18.00 (in the evening before the session).
The term paper addresses applications regarding mainly crises and polarization. Participants are free to select an article of their choice which applies causal inference methods. They have to summarize the content of this article and to discuss the methodological pros and cons. Ideally, they replicate the findings and discuss their replicability. The term paper have to be submitted latest on 31st December 2021 (about 15 pages).
Requirements: The requirements consist of a presentation and a term paper. To understand causal inference we will mainly read Hernán, Miguel A. and James M. Robins. 2020. Causal Inference. What If and partly Angrist, Joshua D. and Jörn-Steffen Pischke. 2008. Mostly Harmless Econometrics: An Empiricist’s Companion. Princeton University Press.
All participants need to prepare the listed readings (see syllabus in Ilias Group) in a manner that allows to discuss the pros and cons of each topic. Each reading will be presented by one participant (15 minutes presentation). These presentations have to be circulated latest on Mondays 18.00 (in the evening before the session).
The term paper addresses applications regarding mainly crises and polarization. Participants are free to select an article of their choice which applies causal inference methods. They have to summarize the content of this article and to discuss the methodological pros and cons. Ideally, they replicate the findings and discuss their replicability. The term paper have to be submitted latest on 31st December 2021 (about 15 pages).
Data and Measurement (Lecture)
EN
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
Online, live
Examination achievement:
Prüfungsleistung Vorlesung: 1 Hausarbeit (benotet)
Studienleistung Übung: 3 Übungsarbeiten (pass/fail), aktive Mitarbeit
Studienleistung Übung: 3 Übungsarbeiten (pass/fail), aktive Mitarbeit
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.
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.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Game Theory (Lecture)
EN
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
On-campus and online, live
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):
Prof. Dr. Thomas Bräuninger
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.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Multivariate Analyses (Lecture)
EN
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
On-campus and online, live
Examination achievement:
take-home exam
Instructor(s):
Prof. Dr. Thomas Gschwend
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.
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.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Research Design (Lecture)
EN
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
On-campus and online, live
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
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 Ph.D.
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
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tutorial Data and Measurement (Seminar)
EN
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
Online, live
Examination achievement:
Prüfungsleistung Vorlesung: 1 Hausarbeit (benotet)
Studienleistung Übung: 3 Übungsarbeiten (pass/fail), aktive Mitarbeit
Studienleistung Übung: 3 Übungsarbeiten (pass/fail), aktive Mitarbeit
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.
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.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tutorial Game Theory (Seminar)
EN
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
Online, live
Examination achievement:
Students are required to pass on average three open-book-24h-tests.
Instructor(s):
Prof. Dr. Thomas Bräuninger
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.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Tutorial Multivariate Analyses (Seminar)
EN
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
English
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Thomas Gschwend
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
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
English
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Thomas Gschwend
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
Course type:
Seminar
ECTS:
2.0
Course suitable for:
Master
Language of instruction:
English
Attendance:
Live & on-campus
Instructor(s):
Prof. Dr. Thomas Gschwend
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/
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: International.sowiuni-mannheim.de.
Cross Sectional Data Analysis (Lecture) (Lecture)
EN
Course type:
Lecture
ECTS:
6
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
On-campus and online, live
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).
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):
Prof. Dr. Thomas Gautschi
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.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Cross Sectional Data Analysis (Tutorial) (Scientific exercise)
EN
Course type:
Scientific exercise
ECTS:
3
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
Online, live
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):
Prof. Dr. Thomas Gautschi
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 package Stata. 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).
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).
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Cross Sectional Data Analysis (Tutorial) (Scientific exercise)
EN
Course type:
Scientific exercise
ECTS:
3
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
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):
Prof. Dr. Thomas Gautschi
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 package Stata. 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).
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).
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Foundations of Sociological Theory (Lecture) (Lecture)
EN
Course type:
Lecture
ECTS:
6.0
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
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:
| The reading list will be provided in the first session. |
Examination achievement:
Klausur (90 Minuten)
Instructor(s):
Prof. Dr. Frank Kalter
Description:
This lecture introduces incoming students to the fundamental principles of (social) science and empirical-analytical sociological research on social mechanisms. Our guiding question is: what is a reasonable (causal) explanation of social phenomena and how can it be verified?
We start with an introduction into the epistemological foundations of social sciences, addressing key insights of the philosophy of sciences, sociological theory, and analytical sociology. Guided by the macro-micro-macro model, we discuss key topics of the three building blocks of sociological explanations. Starting with theories of action, we first discuss both merits and challenges of rational choice theory and related approaches. Connecting individual actions with social structure, second, we discuss how social contexts shape human behavior by affecting both their opportunities and beliefs. Going back to the macro-level, third, we discuss different ways of aggregating the individual actions of interdependent actors.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Foundations of Sociological Theory (Tutorial) (Scientific exercise)
EN
Course type:
Scientific exercise
ECTS:
3.0
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
Online, live
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.
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):
Prof. Dr. Frank Kalter
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.
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.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
FS Research Project (Research seminar)
EN
Course type:
Research seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
English
Attendance:
Online, live
Examination achievement:
Term paper
Instructor(s):
Dr. Katja Möhring
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 a 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 starts on October 13, 2021 and will then take place on a weekly basis as online course (digitally live, not recoded). Later some regular classes will be replaced by individual appointments with the instructor. A one-day workshop at the end of the semester will give students the opportunity to present and discuss their research project (on-site if possible).
In the first session we will discuss how to a 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 starts on October 13, 2021 and will then take place on a weekly basis as online course (digitally live, not recoded). Later some regular classes will be replaced by individual appointments with the instructor. A one-day workshop at the end of the semester will give students the opportunity to present and discuss their research project (on-site if possible).
FS Research Project: Design and Implementation of Online Behavioral Research (Research seminar)
EN
Course type:
Research seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
Online, live
Instructor(s):
Prof. Ph. D. Henning Hillmann
Description:
Intro
In this applied research seminar, students will learn how to design and implement online behavioral research using a suitable computational approach involving open web technologies, such as (but not limited to): such as: HTML, CSS, JavaScript, nodeGame (https://nodegame.org), REST APIs, web scraping, Chrome Extensions, etc.
After iterating on an initial research idea, students will move onto its implementation. Students are expected to deliver a computational prototype / proof-of-concept of their research strategy. Ideally, the output of this research seminar will provide the foundation of a master thesis in the following semester.
Examples of viable research projects are:
Modules
The course includes the following modules:
Online course with weekly meetings.
Slides and video tutorials will be available. Some material already available for the students to review on the nodeGame website and YouTube channel: A group chat will be available on a dedicated Discord channel, a platform available on all major mobile platform and on desktops. In this channel, students can ask technical and administrative questions, and interact with other fellow participants.
Obtaining the Credits
Students will earn credits for successfully defining a research strategy (Module 1) and for implementing a running prototype that involves at least one computational approach from Module 2. The project must be submitted via the GitHub platform; a written report is to be included.
Additionally, participants must deliver two presentations:
Mid-term project pitch. In 5–10minute presentation, students introduce their research design and their implementation plan to the class and receive feedback from the instructor and other fellow participants.
Final project presentation. In a 10–15minute presentation, students show the final the experiment is presented and played online and defend their design choices in a short Q&A session with the instructor and other fellow participants.
Bonus points. Participants can increase their final grade by:
– Actively interacting with other fellow participants through the official discussion media: chat, mailing list, and online presentations.
– Delivering their final project presentation in the form of video to be uploaded to nodeGame TV YouTube channel (https://www.youtube.com/channel/UC2esqxvayZr80QdUZujLqpA).
– Running your code online and collecting early data, performing a brief data analysis of the results showing whether (a) your hypotheses are confirmed, (b) your instrument worked as expected, the behavioral challenge you took on is properly addressed.
Prerequisites
There are no strict prerequisites for this course, but a quantitative background and previous programming knowledge are strong assets for succeeding in this course.
In this applied research seminar, students will learn how to design and implement online behavioral research using a suitable computational approach involving open web technologies, such as (but not limited to): such as: HTML, CSS, JavaScript, nodeGame (https://nodegame.org), REST APIs, web scraping, Chrome Extensions, etc.
After iterating on an initial research idea, students will move onto its implementation. Students are expected to deliver a computational prototype / proof-of-concept of their research strategy. Ideally, the output of this research seminar will provide the foundation of a master thesis in the following semester.
Examples of viable research projects are:
- Online group-behavior experiment / survey with the nodeGame framework.
- New instrument/
method for measuring a theoretical psychological or sociological construct to be integrated as a widget for the nodeGame framework. - A computational solution to a known methodological challenge for conducting online research (e.g., last year a student did a ML classifier for bot detection).
- A Chrome Extension for measuring browsing behavior / running an intervention.
- A statistical approach on data collected from public APIs or scraped from open web sites.
Modules
The course includes the following modules:
- Design of Online Behavioral Research.
- Principles of Experimental Method. Validity, causality, lab-vs-online-vs-field, review of landmark online experiments.
- Modeling Human Behavior. Introduction to game theory, social influence processes, heuristics and biases.
- Recruiting strategies and ethical considerations. Challenges and opportunities.
- Implementation of Online Behavioral Research.
- Fundamentals Computer Programming for the Web. The JavaScript language for the browser and the server (Node.JS), Git, and GitHub.
- Advanced Programming for the Web. The nodeGame platform for conducting online behavioral experiments, Chrome Extensions, Web Scraping, REST APIs.
Online course with weekly meetings.
Slides and video tutorials will be available. Some material already available for the students to review on the nodeGame website and YouTube channel: A group chat will be available on a dedicated Discord channel, a platform available on all major mobile platform and on desktops. In this channel, students can ask technical and administrative questions, and interact with other fellow participants.
Obtaining the Credits
Students will earn credits for successfully defining a research strategy (Module 1) and for implementing a running prototype that involves at least one computational approach from Module 2. The project must be submitted via the GitHub platform; a written report is to be included.
Additionally, participants must deliver two presentations:
Mid-term project pitch. In 5–10minute presentation, students introduce their research design and their implementation plan to the class and receive feedback from the instructor and other fellow participants.
Final project presentation. In a 10–15minute presentation, students show the final the experiment is presented and played online and defend their design choices in a short Q&A session with the instructor and other fellow participants.
Bonus points. Participants can increase their final grade by:
– Actively interacting with other fellow participants through the official discussion media: chat, mailing list, and online presentations.
– Delivering their final project presentation in the form of video to be uploaded to nodeGame TV YouTube channel (https://www.youtube.com/channel/UC2esqxvayZr80QdUZujLqpA).
– Running your code online and collecting early data, performing a brief data analysis of the results showing whether (a) your hypotheses are confirmed, (b) your instrument worked as expected, the behavioral challenge you took on is properly addressed.
Prerequisites
There are no strict prerequisites for this course, but a quantitative background and previous programming knowledge are strong assets for succeeding in this course.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Research Design (Lecture)
EN
Course type:
Lecture
ECTS:
4
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
Online, live
Examination achievement:
written exam (90 min.)
Instructor(s):
Prof. Dr. Florian Keusch
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.
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.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Research Design (Tutorial) (Scientific exercise)
EN
Course type:
Scientific exercise
ECTS:
3.0
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
Online, live
Instructor(s):
Prof. Dr. Florian Keusch
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.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Research Design (Tutorial) (Scientific exercise)
EN
Course type:
Scientific exercise
ECTS:
3.0
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
Online, live
Instructor(s):
Prof. Dr. Florian Keusch
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.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar (Seminar)
EN
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
English
S Elective Seminar: Health Inequalities in Global Perspectives (Seminar)
EN
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
Online, live
Examination achievement:
Written term paper (max. 5000 words)
Instructor(s):
Prof. Dr. Christof Wolf
Description:
The class will first introduce classical social science research on population health and health inequalities. We will discuss how (to what extent) and why (through which mechanisms) health, illness and mortality is distributed unequal between different social groups like class, gender, „race“/ethnicity, sexuality, and migration status. We will also discuss how these disparities depend on meso- and macro-level causes. Therefore, we will examine societal systems of domination and discrimination (e.g. Classism, Sexism, Heterosexism, Gender binarism and Racism), and how they structure the distribution of population health and health inequalities. To this end, we will also talk about new concepts that try to incorporate intersectionality theory into population health research.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Wahlmodul B: Migration and Integration (Seminar)
EN
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
On-campus and online, live
Examination achievement:
term paper
Instructor(s):
Prof. Dr. Marc Helbling
Description:
Up to the mid-1980s immigration was one of the least politicized issues on the political agenda of European countries. Since then, however, it has become one of the most important topics on the political agenda. Mass immigration has resulted in widespread xenophobia and fierce debates on the difficulties of integrating new arrivals. Muslim migration in particular seems to pose a special challenge to Western Europe, leading to widespread Islamophobia throughout the region. In this seminar we will consider reactions to Muslim immigration in Western Europe at various levels. What kind of policies do the European states implement in order to regulate mass immigration and integration? How do nationals react to this and how can we explain Islamophobia?
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Vertiefungsmodul/
EN
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
Online, live
Examination achievement:
Final paper
Instructor(s):
Prof. Dr. Thomas Gautschi, Dr. Johanna Gereke
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 (e.g. American Sociological Review, European Sociological Review, PNAS, American Political Science Review, etc.) as well as extending an existing experimental study with original data. Replications are an important but so far still largely neglected feature of the scientific process whereby we verify and expand our cumulative knowledge of empirical findings. Recently several large-scale replication projects in the social sciences have started to evaluate the validity of our research results, often finding evidence that results cannot be entirely replicated due to various reasons (e.g. coding errors, alternative statistical modelling specification, p-hacking, bugs in statistical software packages, etc.). This course aims to contribute to this 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.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Social Mobility in Europe (Seminar)
EN
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
On-campus and online, live
Examination achievement:
Required examination: written term paper (max. 5000 words)
Instructor(s):
Prof. Dr. Thomas Gautschi
Description:
“Like father, like son!” “Someone's a chip off the old block!” “To follow in his father's foot-steps!” There is a variety of popular proverbs describing the same (sociological) fact: Social origin, i.e. the class or income position of parents, has a large effect on the future life-chances of children. For example, a child from a working class background has considerably lower prospects of achieving a position as a professional compared to a child from parents who work as professionals. And the same is true vice versa. Asking about this lack of social mobility (or, contrary, asking about the amount of social mobility) across generations is one of the classic questions in sociology. The seminar will offer a comprehensive view on con-cepts of intergenerational (and intragenerational) social mobility, on theoretical approaches to explain social mobility, on quantitative methodological approaches and on empirical re-sults regarding the amount of social mobility in Europe. Students are expected to read and discuss the most prominent articles in the field, including rather technical/
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
S Elective Seminar: Structuralist Theory (Seminar)
EN
Course type:
Seminar
ECTS:
6
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
Online, live
Examination achievement:
Write three memos (3 – 4 pages ) on three selected sections of the class
Instructor(s):
Prof. Ph. D. Henning Hillmann
Description:
The aim of this course is to introduce students to structuralist theorizing in the social sciences. One way to characterize structuralist thinking is to posit the primacy of relations over attributes: considering kinship, for example, it is not meaningful to speak of being a father without any reference to sons and daughters. In other words, any social role is inherently relational because it always entails a role complement (father-son, or father-daughter). As we will see throughout the course, much of social life and human behavior can be understood with reference to such relational pairs. Pairs often come in the form of binary oppositions: nature-nurture; female-male; young-elder; us-them; and so forth. Drawing on the work of Claude Lévi-Strauss in particular, the course aims (a) to systematically understand the building blocks of structuralist thinking, and (b) to understand its implications for social organization and cohesion writ large, that is, what holds societies together in the long run. Substantive empirical evidence will come from systems of social exchange, governed by norms of reciprocity; from the contrast between restricted and generalized exchange; the formation and ambiguities of role structures; and from the structural analysis of culture, in particular in the form of myths that provide a foundation for social organization in indigenous societies. Students planning to take this class should be prepared to consider empirical examples that come from rather exotic societies, remote in place and time from our contemporary society.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
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/
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: International.sowiuni-mannheim.de.
AA1/
DE
Course type:
Lecture
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
German
Credit hours 1:
2
Attendance:
Online, recorded
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):
Prof. Dr. Thorsten Meiser
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 und konfirmatorische Faktorenanalyse.
Zu den einzelnen Verfahren werden die mathematischen Grundlagen dargelegt und Anwendungsmöglichkeiten und Einsatzgebiete in der psychologischen Forschung diskutiert.
Zu den einzelnen Verfahren werden die mathematischen Grundlagen dargelegt und Anwendungsmöglichkeiten und Einsatzgebiete in der psychologischen Forschung diskutiert.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
AB1/
DE
Course type:
Lecture
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
German
Credit hours 1:
2
Attendance:
Online, recorded
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
Recommended requirement:
Examination achievement:
Klausur
Instructor(s):
Prof. Dr. Thorsten Meiser
Description:
Das Modul vermittelt Kenntnisse über diagnostische Verfahren und ihren Einsatz für fundierte Entscheidungen und Beratungen in unterschiedlichen Anwendungsbereichen der psychologischen Diagnostik. Damit erlangen die Studierenden eine zentrale Schlüsselqualifikation für ihre berufliche Tätigkeit im Anschluss an das Studium. Darüber hinaus werden aktuelle Entwicklungen der testtheoretischen Modellbildung und der Testkonstruktion behandelt.
Spezifische Inhalte: Übersicht über Testverfahren, Strategien, mögliche Fehlerarten, rechtliche und gesellschaftliche Rahmenbedingungen sowie Kosten-Nutzen-Analysen der diagnostischen Entscheidung und Klassifikation in unterschiedlichen Problemfeldern, wie etwa der beruflichen Eignungsdiagnostik, der pädagogisch-psychologischen Diagnostik oder der neuropsychologischen Diagnostik.
Spezifische Inhalte: Übersicht über Testverfahren, Strategien, mögliche Fehlerarten, rechtliche und gesellschaftliche Rahmenbedingungen sowie Kosten-Nutzen-Analysen der diagnostischen Entscheidung und Klassifikation in unterschiedlichen Problemfeldern, wie etwa der beruflichen Eignungsdiagnostik, der pädagogisch-psychologischen Diagnostik oder der neuropsychologischen Diagnostik.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
AD1/
DE
Course type:
Lecture
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
German
Credit hours 1:
2
Attendance:
On-campus and online, live
Examination achievement:
Klausur
Instructor(s):
Prof. Dr. Georg Alpers
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.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
AE1/
EN
Course type:
Lecture
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
On-campus and online, live & recorded
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):
Prof. Dr. Arndt Bröder
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)
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)
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Metacognition Research (Seminar)
DE
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
German
Credit hours 1:
2
Attendance:
Online, live
Literature:
wird in der Veranstaltung bekannt gegeben
Instructor(s):
Prof. Dr. Edgar Erdfelder
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
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
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Understanding the mind: Basics of human learning (Seminar)
DE
Course type:
Seminar
ECTS:
Course suitable for:
Master
Language of instruction:
German
Attendance:
Online, live
Literature:
Wird in der Veranstaltung bekanntgegeben.
Instructor(s):
Prof. Dr. Edgar Erdfelder
Description:
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
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/
EN
Course type:
Lecture
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
Online, live
Literature:
Journal papers; reading assignments will be given at the beginning of the semester.
Examination achievement:
written homework
Instructor(s):
Prof. Dr. Sabine Sonnentag
Description:
This course provides an overview of core topic within work and organizational psychology. We will focus on recent theoretical approaches and empirical research findings. In addition, we will discuss practical implications. Topics include: Work motivation, stress and health, leadership, teams, personnel selection.
This course provides an overview of core topic within work and organizational psychology. We will focus on recent theoretical approaches and empirical research findings. In addition, we will discuss practical implications. Topics include: Work motivation, stress and health, leadership, teams, personnel selection.
This course provides an overview of core topic within work and organizational psychology. We will focus on recent theoretical approaches and empirical research findings. In addition, we will discuss practical implications. Topics include: Work motivation, stress and health, leadership, teams, personnel selection.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
AG2/
DE
Course type:
Lecture
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
German
Credit hours 1:
2
Attendance:
On-campus and online, live
Examination achievement:
für benoteten Leistungsnachweis: Hausaufgaben (Vorleistung), Hausarbeit
Instructor(s):
Prof. Dr. Michaela Wänke
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
AG4/
DE
Course type:
Lecture
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
German
Credit hours 1:
2
Attendance:
Online, live
Examination achievement:
(unbenotet) Klausur
Instructor(s):
Prof. Dr. Herbert Bless
Description:
AG4/
Durchgeführt von: Prof. Dr. Herbert Bless/
Raum: online (SOWI-ZOOM-03)
Teilnahmemöglichkeit: digital live
Zeit: Mo 13.45 – 15.15 Uhr
Erster Termin: 06.09.2021
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/
Literatur: Wird in der Veranstaltung bekannt gegeben
Empfohlen für: Die Veranstaltung ist eine Pflichtveranstaltung im Masterstudiengang Arbeit, Wirtschaft und Gesellschaft (BD4). Im Masterstudiengang Kognitive und Klinische Psychologie kann die Veranstaltung im Rahmen des Wahlmoduls (AG4) belegt werden.
Erworben werden können: 4 ECTS
Erforderliche Studienleistung: -
Erforderliche Prüfungsleistung: Klausur benotet oder Klausur unbenotet
Voraussetzung: Gute Englischkenntnisse
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
Durchgeführt von: Prof. Dr. Herbert Bless/
Raum: online (SOWI-ZOOM-03)
Teilnahmemöglichkeit: digital live
Zeit: Mo 13.45 – 15.15 Uhr
Erster Termin: 06.09.2021
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/
Literatur: Wird in der Veranstaltung bekannt gegeben
Empfohlen für: Die Veranstaltung ist eine Pflichtveranstaltung im Masterstudiengang Arbeit, Wirtschaft und Gesellschaft (BD4). Im Masterstudiengang Kognitive und Klinische Psychologie kann die Veranstaltung im Rahmen des Wahlmoduls (AG4) belegt werden.
Erworben werden können: 4 ECTS
Erforderliche Studienleistung: -
Erforderliche Prüfungsleistung: Klausur benotet oder Klausur unbenotet
Voraussetzung: Gute Englischkenntnisse
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
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BC2 (also AC1): Research and application techniques 2 (Seminar)
DE
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
German
Credit hours 1:
2
Attendance:
Online, live
Examination achievement:
Klausur oder Hausarbeit
Instructor(s):
Prof. Dr. Thorsten Meiser
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.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BC2 (also AC1): Research and application techniques 2 (Seminar)
EN
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
Online, live
Examination achievement:
Creating an experiment (specific requirements discussed in course)
Instructor(s):
Prof. Dr. Arndt Bröder, Dr. Sophie Scharf
Description:
lab.js is a simple, graphical tool to help you build studies for the web and the laboratory – in addition, it is free and open-source. Many standard tasks can be implemented in lab.js using its graphical user interface. Further, more complex tasks can be realized through the underlying programming language JavaScript.
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 lab.js.
No prior knowledge of the software or JavaScript is required. As an assignment, participants will create their own experiment based on the requirements discussed in the workshop.
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 lab.js.
No prior knowledge of the software or JavaScript is required. As an assignment, participants will create their own experiment based on the requirements discussed in the workshop.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BC2 (also AC1): Research and application techniques 2 (Seminar)
EN
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
Online, live
Literature:
Literature will be given during the course
Instructor(s):
Prof. Dr. Edgar Erdfelder
Description:
The software R is a computer programming language designed for statistical analysis and graphics. The first part of the course deals with a basic introduction to R, i.e. data handling, basic statistical analyses, the creation of graphics, and linear modeling including test for specially designed hypotheses. In the second part we use R as a programming language for cognitive modeling. We will simulate data based on mathematical models of cognitive functions and analyze these data with maximum likelihood parameter estimation techniques. At the end, I will introduce some advanced techniques, for example the creation of statistical reports with R.
The software package R is free and available on all major platforms (www.r-project.org). I also recommend the free and platform independent Software RStudio as a comfortable IDE for R (www.rstudio.com). A basic introduction to R can be found under:
http://cran.r-project.org/doc/manuals/r-release/R-intro.pdf.
The software package R is free and available on all major platforms (www.r-project.org). I also recommend the free and platform independent Software RStudio as a comfortable IDE for R (www.rstudio.com). A basic introduction to R can be found under:
http://cran.r-project.org/doc/manuals/r-release/R-intro.pdf.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BC2 (also AC1): Research and application techniques 2 (Seminar)
EN
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
Online, live
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.
James, G., Witten, D., Hastie, T., & Tibshirani, R. (2013). An intro¬duction to statistical learning with applications in R. New York: Springer.
Examination achievement:
Written exam
Instructor(s):
Prof. Dr. Thorsten Meiser
Description:
The seminar gives an overview of
The language of instruction is English.
- 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).
The language of instruction is English.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BF1/
DE
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
German
Credit hours 1:
2
Attendance:
On-campus and online, live
Literature:
Die Literatur wird in der konstituierenden Sitzung bekannt gegeben.
Examination achievement:
Hausarbeit
Instructor(s):
Prof. Dr. Sabine Sonnentag
Description:
In zunehmend flexibleren Arbeitsumgebungen gewinnt Selbstregulation immer mehr an Bedeutung. In diesem Seminar beschäftigen wir uns daher mit der Frage, welche Rolle Selbstregulation für Leistung im Arbeitsalltag spielt, und wie organisatorische und interpersonelle Umstände solche Prozesse beeinflussen können. Themen können sowohl Selbstkontrolle oder Emotionsregulation, aber auch die Rolle von Führung für selbstregulatorische Prozesse sein.
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 Selbstregulation im Arbeitskontext untersucht wird.
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 Selbstregulation im Arbeitskontext untersucht wird.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BF1/
EN
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
English
Credit hours 1:
2
Attendance:
Online, live
Literature:
Will be announced in the seminar
Examination achievement:
Hausarbeit
Instructor(s):
Prof. Dr. Sabine Sonnentag
Description:
Organizations are increasingly concerned about the health of their
employees.
This is reflected in integrating health-related concepts and
health-promoting measures into organizational strategies.
The seminar deals with the question of how can organizations act in
order to maintain the health of their employees in the long term. The
individual health-related actions of employees should also be discussed.
The seminar consists of two parts. In the first part, we work together
to investigate state-of-the-art research on the topic using current
literature.
During this time, the students have the opportunity to decide on a topic
that they will work on in depth as part of their term paper and in the
second part of the seminar in project groups.
In the context of project groups, in the second part of the seminar, the
students will put the learned and self-developed content into practice
in the form of a practical “product” (e.g., poster, video, brochure etc.)
At the end of the seminar, the project group results will be presented.
In addition to a content-related discussion, the seminar also places
particular emphasis on the work and organizational psychological methods
with which health is examined at work.
employees.
This is reflected in integrating health-related concepts and
health-promoting measures into organizational strategies.
The seminar deals with the question of how can organizations act in
order to maintain the health of their employees in the long term. The
individual health-related actions of employees should also be discussed.
The seminar consists of two parts. In the first part, we work together
to investigate state-of-the-art research on the topic using current
literature.
During this time, the students have the opportunity to decide on a topic
that they will work on in depth as part of their term paper and in the
second part of the seminar in project groups.
In the context of project groups, in the second part of the seminar, the
students will put the learned and self-developed content into practice
in the form of a practical “product” (e.g., poster, video, brochure etc.)
At the end of the seminar, the project group results will be presented.
In addition to a content-related discussion, the seminar also places
particular emphasis on the work and organizational psychological methods
with which health is examined at work.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BH1/
DE
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
German
Credit hours 1:
2
Attendance:
On-campus and online, live & recorded
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
… 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):
Dr. Stefan Janke
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.
Hinweis: Das Seminar wird als synchrone Lehrveranstaltung abgehalten. Die Durchführung findet voraussichtlich in Präsenz statt. Sollte es zu einer negativen Veränderung der pandemischen Situation kommen, ist angedacht das Seminar digital durchzuführen.
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.
Hinweis: Das Seminar wird als synchrone Lehrveranstaltung abgehalten. Die Durchführung findet voraussichtlich in Präsenz statt. Sollte es zu einer negativen Veränderung der pandemischen Situation kommen, ist angedacht das Seminar digital durchzuführen.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BM1/
DE
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
German
Credit hours 1:
2
Attendance:
Online, live
Examination achievement:
Hausarbeit
Description:
Titel: “Forschungsmethoden in der Sozialpsychologie nach der Replikationskrise”
Durchgeführt von: Dr. Ira Maschmann
Raum: online (SOWI-ZOOM-07)
Teilnahmemöglichkeit: digital live
Zeit: Di, 15:30 – 17:00
Beginn: 07.09.2021
Inhalt: Im Zuge der Replikationskrise in der Psychologie stellt sich die Frage, was gute sozialpsychologische Forschung ausmacht. Dieses Seminar beschäftigt sich mit dieser Frage. Im Rahmen dessen werden Studien und Forschungsfragen aus der Sozialpsychologie hinsichtlich diverser Kriterien kritisch betrachtet, wie beispielsweise ob wir Comics tatsächlich als lustiger beurteilen, wenn wir durch einen Stift in unserem Mund unbewusst ein Lächeln simulieren, oder ob Frauen sich wirklich mächtiger fühlen, wenn sie eine Körperhaltung wie Wonder Woman einnehmen.
Ziel des Seminars ist, kritisches Lesen und Diskutieren von (sozial-)psychologischen Forschungsergebnissen zu vertiefen, sowie methodologische Neuerungen in der Forschungspraxis wie beispielsweise Open Science kennenzulernen.
Empfohlen für: Studierende des Masters Psychologie
Erworben werden kann: ECTS: 4
Voraussetzung: Die Inhalte der Vorlesung zu Forschungsmethoden werden als bekannt vorausgesetzt.
Erforderliche Studienleistung: Stundengestaltung
Erforderliche Prüfungsleistung: Hausarbeit
Anmeldung: über das Studierendenportal
Sprechstunde: nach Vereinbarung
Materialien: Materialien werden auf Ilias bereitgestellt.
Durchgeführt von: Dr. Ira Maschmann
Raum: online (SOWI-ZOOM-07)
Teilnahmemöglichkeit: digital live
Zeit: Di, 15:30 – 17:00
Beginn: 07.09.2021
Inhalt: Im Zuge der Replikationskrise in der Psychologie stellt sich die Frage, was gute sozialpsychologische Forschung ausmacht. Dieses Seminar beschäftigt sich mit dieser Frage. Im Rahmen dessen werden Studien und Forschungsfragen aus der Sozialpsychologie hinsichtlich diverser Kriterien kritisch betrachtet, wie beispielsweise ob wir Comics tatsächlich als lustiger beurteilen, wenn wir durch einen Stift in unserem Mund unbewusst ein Lächeln simulieren, oder ob Frauen sich wirklich mächtiger fühlen, wenn sie eine Körperhaltung wie Wonder Woman einnehmen.
Ziel des Seminars ist, kritisches Lesen und Diskutieren von (sozial-)psychologischen Forschungsergebnissen zu vertiefen, sowie methodologische Neuerungen in der Forschungspraxis wie beispielsweise Open Science kennenzulernen.
Empfohlen für: Studierende des Masters Psychologie
Erworben werden kann: ECTS: 4
Voraussetzung: Die Inhalte der Vorlesung zu Forschungsmethoden werden als bekannt vorausgesetzt.
Erforderliche Studienleistung: Stundengestaltung
Erforderliche Prüfungsleistung: Hausarbeit
Anmeldung: über das Studierendenportal
Sprechstunde: nach Vereinbarung
Materialien: Materialien werden auf Ilias bereitgestellt.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
BM1/
DE
Course type:
Seminar
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
German
Credit hours 1:
2
Attendance:
Online, live
Examination achievement:
Hausarbeit (schriftliche Ausarbeitung der Projektarbeit)
Instructor(s):
Prof. Dr. Herbert Bless
Description:
BM1/
“Psychologie der Beratung”
Modul: BM1/
Titel: Psychologie der Beratung
durchgeführt von: Dr. Sabine Scholl
Raum: online (SOWI-ZOOM-04)
Teilnahmemöglichkeit: digital live
Termin: Montag, 12:00–13:30 Uhr
Veranstaltungszeitraum: 6.9.2021–10.12.2021
Inhalt:
Im Alltag und Beruf werden wir häufig gebeten Ratschläge zu erteilen. In diesem Seminar werden Theorien und Methoden aus der Sozialpsychologie auf verschiedene Beratungssituationen angewandt. Dabei werden auf der Grundlage sozial-kognitiver Modelle und Theorien Einflussfaktoren auf Ratgebende und Ratsuchende besprochen. Hierbei steht die Verknüpfung von praktischen Fragen und theoriegeleiteten Antworten im Vordergrund. Das Seminar erfordert unter anderem die Lektüre von englischsprachiger Fachliteratur.
Literatur: Wird in der Veranstaltung bekannt gegeben.
Empfohlen für: Studierende der Psychologie des Masterstudiengangs „Arbeit, Wirtschaft und Gesellschaft“. Die Veranstaltung kann als BM1/
Erworben werden können: 4 ECTS
Erforderliche Studienleistungen: Hausaufgaben, Referat (Präsentation Projektarbeit)
Erforderliche Prüfungsleistung: Hausarbeit (schriftliche Ausarbeitung der Projektarbeit)
Voraussetzung: Zulassung zum Masterstudiengang „Arbeit, Wirtschaft und Gesellschaft“
Anmeldung: Portal2
Sprechstunde: Nach Vereinbarung
“Psychologie der Beratung”
Modul: BM1/
Titel: Psychologie der Beratung
durchgeführt von: Dr. Sabine Scholl
Raum: online (SOWI-ZOOM-04)
Teilnahmemöglichkeit: digital live
Termin: Montag, 12:00–13:30 Uhr
Veranstaltungszeitraum: 6.9.2021–10.12.2021
Inhalt:
Im Alltag und Beruf werden wir häufig gebeten Ratschläge zu erteilen. In diesem Seminar werden Theorien und Methoden aus der Sozialpsychologie auf verschiedene Beratungssituationen angewandt. Dabei werden auf der Grundlage sozial-kognitiver Modelle und Theorien Einflussfaktoren auf Ratgebende und Ratsuchende besprochen. Hierbei steht die Verknüpfung von praktischen Fragen und theoriegeleiteten Antworten im Vordergrund. Das Seminar erfordert unter anderem die Lektüre von englischsprachiger Fachliteratur.
Literatur: Wird in der Veranstaltung bekannt gegeben.
Empfohlen für: Studierende der Psychologie des Masterstudiengangs „Arbeit, Wirtschaft und Gesellschaft“. Die Veranstaltung kann als BM1/
Erworben werden können: 4 ECTS
Erforderliche Studienleistungen: Hausaufgaben, Referat (Präsentation Projektarbeit)
Erforderliche Prüfungsleistung: Hausarbeit (schriftliche Ausarbeitung der Projektarbeit)
Voraussetzung: Zulassung zum Masterstudiengang „Arbeit, Wirtschaft und Gesellschaft“
Anmeldung: Portal2
Sprechstunde: Nach Vereinbarung
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1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.
Einführung in die Medienpsychologie / Introduction to Media Psychology (Lecture)
DE
Course type:
Lecture
ECTS:
4.0
Course suitable for:
Master
Language of instruction:
German
Credit hours 1:
2
Attendance:
Online, live
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 incomingphil.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 incomingphil.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 incomingphil.uni-mannheim.de.
Literature:
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.
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 (unter Vorbehalt – je nach Infektionsgeschehen)
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.
More information
1 Credit hours indicate the duration of a course which is offered weekly during one semester. One credit hour equals 45 minutes.