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: Free Speech and Censorship (Seminar)
EN
Lecture type:
Seminar
ECTS:
10.0
Course suitable for:
Language of instruction:
English
Hours per week:
2
Examination achievement:
Term paper
Instructor(s):
Richard Traunmüller
Description:
To openly express one’s views is the most fundamental civil liberty. While this basic right is under constant and serious threat in authoritarian contexts, the question of how free speech should be regulated is also a concern in liberal democracies. It is particularly important in globalized conditions of cultural diversity and the unprecedented levels of communication facilitated by the digital revolution. The aim of this course is to discuss contemporary scholarly research on the politics of free speech and censorship. Why is free expression so important? Why and how do states actually regulate free speech and what are the effects of this regulation? How does cultural diversity and digital communication impact on these questions? Next to substantive discussion the course will place great emphasis on the practice of quantitative political research and provide ample space for students’ projects.
Advanced Topics in Comparative Politics: Political Behavior in Context (Seminar)
EN
Lecture type:
Seminar
ECTS:
10.0
Course suitable for:
Language of instruction:
English
Hours per week:
2
Attendance:
Online, live
Examination achievement:
Term Paper (ca. 8.000 words)
Instructor(s):
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 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 the latest empirical studies in the field and prepare research papers in which they analyze specific questions using available data sets.
Office hours: by appointment only
Advanced Topics in International Politics: Agents of Political Violence (Seminar)
EN
Lecture type:
Seminar
ECTS:
10.0
Course suitable for:
Language of instruction:
English
Hours per week:
2
Attendance:
Online, live
Examination achievement:
Research Paper
Instructor(s):
Sabine Carey
Description:
This seminar discusses seminal and current work on agents of political violence. We analyze the role and characteristics of the military, including drivers and counterstrategies to coup d’états. A large part of the course will focus on irregular armed agents that are aligned with the stage, engaging with the growing research on militias, death squads, civil defense forces and paramilitary groups. We assess national and transnational drivers of their formation, their termination, how they affect political violence during and outside of civil wars. The seminars will be student-led. Over the course of the seminar you will develop your own research question on one of the topics discussed in the seminar and carry out your own research. Additionally, you are expected to write one book review, read all required materials, engage in the discussions and provide feedback on other student’s work.
Advanced Topics in International Politics (Seminar)
EN
Lecture type:
Seminar
ECTS:
10.0
Course suitable for:
Language of instruction:
English
Attendance:
Online, live
Examination achievement:
Term Paper
Instructor(s):
Thomas König
Description:
In this Master seminar we will replicate empirical analysis regarding topics of European (dis)integration. Students are free to select the analysis to be replicated, for which they need to find the data and the file of the statistical analysis. A central focus will be on the research design, in particular the conceptual decisions of data generation and analysis. After replication, several robustness checks are to be carried out and alternative research designs will be discussed and eventually applied. A summary paper (12–15) of the experiences and results is required and needs to be submitted at the end of the semester.
Data and Measurement (Lecture)
EN
Lecture type:
Lecture
ECTS:
6.0
Course suitable for:
Language of instruction:
English
Hours per week:
2
Attendance:
Online, live
Examination achievement:
Vorlesung: 1 Hausarbeit (benotet)
Studienleistung Übung: 3 ÜPrüfungsleistung bungsarbeiten (pass/fail)
Studienleistung Übung: 3 ÜPrüfungsleistung bungsarbeiten (pass/fail)
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.
Game Theory (Lecture)
EN
Lecture type:
Lecture
ECTS:
6.0
Course suitable for:
Language of instruction:
English
Hours per week:
2
Attendance:
Online, live
Recommended requirement:
Examination achievement:
Midterm and final exam.
To pass the course you need an average grade of 4.0 or better in the midterm and the final exam. Final grading of the course will then be based on three components: assignments (20%), mid-term exam (30%), final exam (50%).
To pass the course you need an average grade of 4.0 or better in the midterm and the final exam. Final grading of the course will then be based on three components: assignments (20%), mid-term exam (30%), final exam (50%).
Instructor(s):
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 diferent 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.
study, as examples, candidate competition, political lobbying, and war and deterrence.
Multivariate Analyses (Lecture)
EN
Lecture type:
Lecture
ECTS:
6.0
Course suitable for:
Language of instruction:
English
Instructor(s):
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.
Research Design (Lecture)
EN
Lecture type:
Lecture
ECTS:
6.0
Course suitable for:
Language of instruction:
English
Hours per week:
2
Examination achievement:
Final paper proposal (circa 10 pages)
Instructor(s):
Sean Damien Carey
Selected Topics in Comparative Politics (Seminar)
EN
Lecture type:
Seminar
ECTS:
8
Course suitable for:
Language of instruction:
English
Hours per week:
2
Tutorial Data and Measurement (Seminar)
EN
Lecture type:
Seminar
ECTS:
2.0
Course suitable for:
Language of instruction:
English
Hours per week:
2
Attendance:
Online, live
Examination achievement:
Prüfungsleistung Vorlesung: 1 Hausarbeit (benotet)
Studienleistung Übung: 3 Übungsarbeiten (pass/fail)
Studienleistung Übung: 3 Übungsarbeiten (pass/fail)
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.
Tutorial Game Theory (Seminar)
EN
Lecture type:
Seminar
ECTS:
2.0
Course suitable for:
Language of instruction:
English
Hours per week:
2
Attendance:
Online, live
Instructor(s):
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 on the material covered in the lecture. Thus, the following key areas will be discussed: preferences and individual choices, decision theory, 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. At the substantial level, we will use these concepts to study, for instance, candidate competition, political lobbying, and war and deterrence. Students are required to submit four problem sets. Moreover, it is essential for students to prepare thoroughly for all sessions using online tutorials. Active participation in class discussions is expected.
Tutorial Multivariate Analyses (PO 14) (Seminar)
EN
Lecture type:
Seminar
ECTS:
2.0
Course suitable for:
Language of instruction:
English
Instructor(s):
Thomas Gschwend
Tutorial Multivariate Analyses (PO 14) (Seminar)
EN
Lecture type:
Seminar
ECTS:
2.0
Course suitable for:
Language of instruction:
English
Instructor(s):
Thomas Gschwend
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: int-soc@uni-mannheim.de.
Cross Sectional Data Analysis (Lecture) (Lecture)
EN
Lecture type:
Lecture
ECTS:
6
Course suitable for:
Language of instruction:
English
Hours per week:
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):
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.
Cross Sectional Data Analysis (Lecture) (Lecture)
EN
Lecture type:
Lecture
ECTS:
6
Course suitable for:
Language of instruction:
English
Hours per week:
2
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).
Description:
The main focus lies on the introduction to statistical models and estimators beyond linear regression useful to a social scientists. A good understanding of the classical linear regression model is a prerequisite and required for the further topics of the course. We will first discuss violations of the asymptotic properties of the linear regression model and ways to address these violations (heteroscedasticity, endogeneity, proxy variables, IV-estimator). The second part of the class is dedicated to first the maximum likelihood estimator and second to generalized linear models (GLS) for binary choice decisions (Logit, Probit), ordinal dependent variables, and count data (Poisson, Negative Binomial). Classes will be accompanied by lab sessions to repeat and practice the topics from the classes. We will use the statistical package Stata.
Cross Sectional Data Analysis (Tutorial) (Scientific exercise)
EN
Lecture type:
Scientific exercise
ECTS:
3
Course suitable for:
Language of instruction:
English
Hours per week:
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):
Thomas Gautschi, Sandra Morgenstern
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).
Cross Sectional Data Analysis (Tutorial) (Scientific exercise)
EN
Lecture type:
Scientific exercise
ECTS:
3
Course suitable for:
Language of instruction:
English
Hours per week:
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):
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).
Foundations of Sociological Theory (Lecture) (Lecture)
EN
Lecture type:
Lecture
ECTS:
6.0
Course suitable for:
Language of instruction:
English
Hours per week:
2
Attendance:
On-campus and online, live
Learning target:
Basic understanding of the methodology of sociological explanations; knowledge of key sociological theories and theoretical tools; skills to evaulate the quality, especially the information content, of theoretical statements; awareness of the challanges of the theory-data link; critical assement of the theory-guidance of empirical research.
Literature:
Introductory readings are :
Della Porta, D., and Keating, M. (eds.) (2008). Approaches and Methodologies in the Social Sicenes. A Pluralist Perspective. Cambridge: Cambridge University Press.
Hedström, Peter (2005). Dissecting the social: On the principles of analytical sociology. Cambridge University Press.
Little, Daniel, Varieties of Social Explanation. An Introduction to the Philosophy of Social Science, Boulder, CO: Westview Press, 1991.
A more detailed reading list will be provided in the first session.
Della Porta, D., and Keating, M. (eds.) (2008). Approaches and Methodologies in the Social Sicenes. A Pluralist Perspective. Cambridge: Cambridge University Press.
Hedström, Peter (2005). Dissecting the social: On the principles of analytical sociology. Cambridge University Press.
Little, Daniel, Varieties of Social Explanation. An Introduction to the Philosophy of Social Science, Boulder, CO: Westview Press, 1991.
A more detailed reading list will be provided in the first session.
Examination achievement:
Klausur (90 Minuten)
Instructor(s):
Frank Kalter
Description:
This lecture introduces incoming students to the fundamental principles of (social) science, different theoretical paradigms in sociology, and empirical-analytical sociological research on social mechanisms. First, as an introduction into the epistemological foundations of social sciences, we will address key insights of the philosophy of sciences, sociological theory and analytic sociology on social mechanism. What is a reasonable (causal) explanation of social phenomena and how can it be verified? Furthermore, we will study the different paradigms in the social sciences and in particular important variants of sociological theory ranging from interpretative approaches to rational choice theory. In how far are these complementary or do these represent disparate perspectives? Finally, actual sociological applications of analytical sociology studying particular social mechanisms will be discussed.
Foundations of Sociological Theory (Tutorial) (Scientific exercise)
EN
Lecture type:
Scientific exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
English
Hours per week:
2
Attendance:
On-campus and 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):
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.
FS Research Project (Research seminar)
EN
Lecture type:
Research seminar
ECTS:
6
Course suitable for:
Language of instruction:
English
Hours per week:
2
Attendance:
Online, live
Examination achievement:
Hausarbeit, term paper
Instructor(s):
Sebastian Pink
Description:
The aim of this research seminar is to conduct an analysis of secondary data and to write a short research paper on a topic relevant to family 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.
In the first session we will discuss the value of replication in social research and how to a select a research question. 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 family related research questions (e.g., SOEP; The German Family Panel (pairfam); Survey of Health, Ageing, and Retirement in Europe (SHARE); Health and Retirement Study (HRS)). One or two additional sessions will deal with the workflow of data analysis using Stata/
At the beginning of the semester classes will take place on a weekly basis. Later in the semester some regular classes will be replaced by individual appointments with the instructor. During the semester students will present and discuss the progress of their research project in class.
In the first session we will discuss the value of replication in social research and how to a select a research question. 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 family related research questions (e.g., SOEP; The German Family Panel (pairfam); Survey of Health, Ageing, and Retirement in Europe (SHARE); Health and Retirement Study (HRS)). One or two additional sessions will deal with the workflow of data analysis using Stata/
At the beginning of the semester classes will take place on a weekly basis. Later in the semester some regular classes will be replaced by individual appointments with the instructor. During the semester students will present and discuss the progress of their research project in class.
FS Research Project (Research seminar)
EN
Lecture type:
Research seminar
ECTS:
6
Course suitable for:
Language of instruction:
English
Hours per week:
2
Attendance:
On-campus and online, live
Instructor(s):
Henning Hillmann
Description:
This is not a typical seminar where we read papers and discuss them. Instead, the main idea of this research seminar is to turn students from consumers of research into producers of research.
Its purpose is to help students in developing and fine-tuning an empirical research paper that will provide the foundation of their master thesis in the following semester. Hence, ideally, each student will have produced a first version of their paper manuscript by the end of this semester. You may want to have a look at articles that were recently published in leading journals to get an idea of how such a paper might look like.
To this end, we will spend the first few weeks on developing ideas, framing arguments, and avoiding common pitfalls when drafting research papers. For the remainder of the course, I expect every student
· to write a first draft of her/
· at least one other student (ideally two) and I will review and comment on the paper draft in writing.
· all other students are expected to contribute to the discussion of this first presentation.
· to address the suggestions, concerns, and critiques received in a revision of your first draft. In other words, you will write a second, revised draft.
· We will then repeat the same process of comment and critique in this second round.
· Finally, each student will address once more all comments and critiques received in the second round to produce the final paper for this research seminar.
By the end of the semester, you should have (1) a clear idea about the research question, data requirements, and design of your M.A. thesis, and (2) a solid draft of a research paper that will serve as the foundation for your thesis, i.e. you won’t start your thesis with a blank page in the next semester.
Its purpose is to help students in developing and fine-tuning an empirical research paper that will provide the foundation of their master thesis in the following semester. Hence, ideally, each student will have produced a first version of their paper manuscript by the end of this semester. You may want to have a look at articles that were recently published in leading journals to get an idea of how such a paper might look like.
To this end, we will spend the first few weeks on developing ideas, framing arguments, and avoiding common pitfalls when drafting research papers. For the remainder of the course, I expect every student
· to write a first draft of her/
· at least one other student (ideally two) and I will review and comment on the paper draft in writing.
· all other students are expected to contribute to the discussion of this first presentation.
· to address the suggestions, concerns, and critiques received in a revision of your first draft. In other words, you will write a second, revised draft.
· We will then repeat the same process of comment and critique in this second round.
· Finally, each student will address once more all comments and critiques received in the second round to produce the final paper for this research seminar.
By the end of the semester, you should have (1) a clear idea about the research question, data requirements, and design of your M.A. thesis, and (2) a solid draft of a research paper that will serve as the foundation for your thesis, i.e. you won’t start your thesis with a blank page in the next semester.
Research Design (Lecture)
EN
Lecture type:
Lecture
ECTS:
4
Course suitable for:
Language of instruction:
English
Hours per week:
2
Attendance:
Online, live
Examination achievement:
written exam (90 min)
Instructor(s):
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.
Research Design (Tutorial) (Scientific exercise)
EN
Lecture type:
Scientific exercise
ECTS:
3.0
Course suitable for:
Language of instruction:
English
Hours per week:
2
Attendance:
Online, live
Instructor(s):
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.
S Elective Seminar: Design and Implementation of Online Behavioral Experiments (Seminar)
EN
Lecture type:
Seminar
ECTS:
6
Course suitable for:
Language of instruction:
English
Hours per week:
2
Instructor(s):
Stefano Balietti
Description:
Design and Implementation of Online Experiments
Modules
In this applied course students will learn how to design and implement online behavioral experiments. The course includes the following modules:
1. Principles of Experimental Method. Validity, causality, lab-vs-online-vs-field, review of landmark experiments.
2. Programming for Online Experiments. The JavaScript language for the browser and the server (Node.JS), the nodeGame platform, and elements of visualization and styling libraries as jQuery or Bootstrap.
3. Remote Collaboration Tools. Git and GitHub, the Atom editor and other tools for collaborative coding.
4. Modeling Human Behavior. Introduction to game theory, main game theory games, social influence processes, heuristics and biases and how human behavior can be mapped into experiments.
5. Do it yourself. Define a research question meaningful for you, implement it in an experiment to run in class and/
6. Advanced Topics. Bots, recruiting strategies, the MTurk platform, crowdsourcing, optimal experimental design, ethical considerations.
Format
This is an online course roughly following the structure outlined here:
https://nodegame.org/courses.htm
An introductory online seminar will present the course, then students will follow a number of do-at-your-own-pace video lectures explaining the slides. Students are expected to deliver two presentations (mid-term and final).
A group chat will be available on the Telegram app, available on all major mobile platform and on desktops. In this chat, students can ask technical and administrative questions, and interact with other fellow participants (e.g., to form groups).
A mailing list will be used for all official communications.
Obtaining the Credits
Students will earn credits for successfully completing Module 5. The submission of the final project will take place through the GitHub platform and a short, written report is to be included.
Both multiplayer (group-behavior) and single-player (decision tasks) projects are accepted. Group projects are encouraged; the ambition of the project is expected to increase with the group size (generally, group size should not exceed 4 participants, but exceptions will be considered).
In addition to completing Module 5, 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.
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.
Modules
In this applied course students will learn how to design and implement online behavioral experiments. The course includes the following modules:
1. Principles of Experimental Method. Validity, causality, lab-vs-online-vs-field, review of landmark experiments.
2. Programming for Online Experiments. The JavaScript language for the browser and the server (Node.JS), the nodeGame platform, and elements of visualization and styling libraries as jQuery or Bootstrap.
3. Remote Collaboration Tools. Git and GitHub, the Atom editor and other tools for collaborative coding.
4. Modeling Human Behavior. Introduction to game theory, main game theory games, social influence processes, heuristics and biases and how human behavior can be mapped into experiments.
5. Do it yourself. Define a research question meaningful for you, implement it in an experiment to run in class and/
6. Advanced Topics. Bots, recruiting strategies, the MTurk platform, crowdsourcing, optimal experimental design, ethical considerations.
Format
This is an online course roughly following the structure outlined here:
https://nodegame.org/courses.htm
An introductory online seminar will present the course, then students will follow a number of do-at-your-own-pace video lectures explaining the slides. Students are expected to deliver two presentations (mid-term and final).
A group chat will be available on the Telegram app, available on all major mobile platform and on desktops. In this chat, students can ask technical and administrative questions, and interact with other fellow participants (e.g., to form groups).
A mailing list will be used for all official communications.
Obtaining the Credits
Students will earn credits for successfully completing Module 5. The submission of the final project will take place through the GitHub platform and a short, written report is to be included.
Both multiplayer (group-behavior) and single-player (decision tasks) projects are accepted. Group projects are encouraged; the ambition of the project is expected to increase with the group size (generally, group size should not exceed 4 participants, but exceptions will be considered).
In addition to completing Module 5, 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.
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.
S Elective Seminar: Educational inequalities in Europe (Seminar)
EN
Lecture type:
Seminar
ECTS:
6
Course suitable for:
Language of instruction:
English
Hours per week:
2
Attendance:
Online, live
Examination achievement:
Required examination: written term paper (max. 5000 words), deadline: Jan 31, 2021
Instructor(s):
Thomas Gautschi
Description:
For long, education has been seen as a “giant sorting machine” for life chances in industrialized societies (Dunlop et al. 1975). This truism has been holding for decades. In light of technological changes and the expansion of knowledge-based tasks, education might increase its importance even more. Yet, educational opportunities are unevenly distributed. Social origin (parental class, income, education, wealth as well as (epi-)genetic dispositions), ethnic background, and gender affect chances of educational transitions and educational attainment. Inequality of educational opportunities also vary by country and across time. In the seminar on educational inequalities in Europe, we discuss classic and more recent theories of educational inequalities, different trends over time and cross-national variation in Europe, and we focus on selected dimensions of educational inequalities.
S Wahlmodul B: Migration and Integration (Seminar)
EN
Lecture type:
Seminar
ECTS:
6
Course suitable for:
Language of instruction:
English
Hours per week:
2
Attendance:
Online, live
Examination achievement:
term paper
Instructor(s):
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?
S Elective Seminar: Organizational Theory (Seminar)
EN
Lecture type:
Seminar
ECTS:
6
Course suitable for:
Language of instruction:
English
Hours per week:
2
Attendance:
On-campus and online, live
Examination achievement:
Hausarbeit
Instructor(s):
Henning Hillmann
Description:
This advanced seminar will explore classic and recent social science research that seeks to explain variation in organizational behavior and development. We will consider a variety of research questions that tap into both formal and informal ways of organizing: what kinds of institutions are necessary to make economic organization work? Where do such institutions come from? Why do we observe very different outcomes across contexts even though they share the same market-supporting institutions? Why do some organizations survive even though they face the most unfavorable environments? How do conditions at the time of an organization's birth shape its development? To address these and further questions, we will rely both on recent theoretical advances and on empirical studies in a various settings.
S Vertiefungsmodul/
EN
Lecture type:
Seminar
ECTS:
6
Course suitable for:
Language of instruction:
English
Hours per week:
2
Attendance:
Online, live
Examination achievement:
Seminar paper
Instructor(s):
Thomas Gautschi
Description:
This course presents an overview of major issues in cross-cultural survey research. It covers the following topics:
- Cross-cultural requirements during questionnaire development to ensure comparability
- Informed decisions about how to measure (background) variables to ensure comparability
- Best practice in carrying out questionnaire translation and assessment
- Performing invariance tests (using Stata or R) and search for reasons for lacking equivalence by using probing techniques
Time: Wednesday 1 p 45 – 5 p starting October 28
S Elective Seminar: Social Stratification, Health and Illness (Seminar)
EN
Lecture type:
Seminar
ECTS:
6
Course suitable for:
Language of instruction:
English
Hours per week:
2
Attendance:
Online, live
Instructor(s):
Christof Wolf
S Elective Seminar: Sociological research on Corona/
EN
Lecture type:
Seminar
ECTS:
6
Course suitable for:
Language of instruction:
English
Hours per week:
2
Examination achievement:
Term paper (about 15 pages). Deadline: 15 January 2021
Instructor(s):
Katja Möhring
Description:
The course deals with social science research on the social and policy consequences of the Corona crisis. One focus willl be on the results of the Mannheim Corona Study (https://www.uni-mannheim.de/en/gip/corona-study/)
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: int-psy@uni-mannheim.de.
AA1/
DE
Lecture type:
Lecture
ECTS:
4.0
Course suitable for:
Language of instruction:
German
Hours per week:
2
Attendance:
Online, live & 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):
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.
Zu den einzelnen Verfahren werden die mathematischen Grundlagen dargelegt und Anwendungsmöglichkeiten und Einsatzgebiete in der psychologischen Forschung diskutiert. Als optionale Vertiefung zu der Vorlesung wird ein Seminar als Wahlveranstaltung im Modul AC bzw. BC angeboten, in dem die konkrete Anwendung der Verfahren und die Interpretation der Ergebnisse anhand empirischer Datensätze eingeübt werden können.
Zu den einzelnen Verfahren werden die mathematischen Grundlagen dargelegt und Anwendungsmöglichkeiten und Einsatzgebiete in der psychologischen Forschung diskutiert. Als optionale Vertiefung zu der Vorlesung wird ein Seminar als Wahlveranstaltung im Modul AC bzw. BC angeboten, in dem die konkrete Anwendung der Verfahren und die Interpretation der Ergebnisse anhand empirischer Datensätze eingeübt werden können.
AB1/
DE
Lecture type:
Lecture
ECTS:
4.0
Course suitable for:
Language of instruction:
German
Hours per week:
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
• 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):
Thorsten Meiser
Description:
Inhalt:
Ausgewählte Verfahren der Leistungs- und Persönlichkeitsdiagnostik, Strategien der Diagnostik, mögliche Fehlerarten, rechtliche und gesellschaftliche Rahmenbedingungen sowie Kosten-Nutzen-Analysen der diagnostischen Entscheidung und Klassifikation.
Teilnehmer:
keine Teilnehmerbegrenzung.
Anmeldung:
Die Anmeldung erfolgt im Studierendenportal.
Sprechstunde:
s. http://www.psychologie.uni-mannheim.de/psycho2/wagener.html
Link zur Veranstaltungsseite:
www.psychologie.uni-mannheim.de/te
Ausgewählte Verfahren der Leistungs- und Persönlichkeitsdiagnostik, Strategien der Diagnostik, mögliche Fehlerarten, rechtliche und gesellschaftliche Rahmenbedingungen sowie Kosten-Nutzen-Analysen der diagnostischen Entscheidung und Klassifikation.
Teilnehmer:
keine Teilnehmerbegrenzung.
Anmeldung:
Die Anmeldung erfolgt im Studierendenportal.
Sprechstunde:
s. http://www.psychologie.uni-mannheim.de/psycho2/wagener.html
Link zur Veranstaltungsseite:
www.psychologie.uni-mannheim.de/te
AD1/
DE
Lecture type:
Lecture
ECTS:
4.0
Course suitable for:
Language of instruction:
German
Hours per week:
2
Examination achievement:
Klausur
Instructor(s):
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.
AE1/
EN
Lecture type:
Lecture
ECTS:
4.0
Course suitable for:
Language of instruction:
English
Hours per week:
2
Attendance:
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):
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)
Metacognition Research (Seminar)
DE
Lecture type:
Seminar
ECTS:
4.0
Course suitable for:
Language of instruction:
German
Hours per week:
2
Literature:
Einstiegsliteratur:
Gillund, G. & Shiffrin, R. M. (1984). A retrieval model for both recognition and recall. Psychological Review, 91(1), 1–67. https://doi.org/10.1037/0033–295X.91.1.1
Hintzman, D. L. (1986). “Schema abstraction” in a multiple-trace memory model. Psychological Review, 93(4), 411–428. https://doi.org/10.1037/0033–295X.93.4.411
Hintzman, D. L. (1988). Judgments of frequency and recognition memory in a multiple-trace memory model. Psychological Review, 95(4), 528–551. https://doi.org/10.1037/0033–295X.95.4.528
Gillund, G. & Shiffrin, R. M. (1984). A retrieval model for both recognition and recall. Psychological Review, 91(1), 1–67. https://doi.org/10.1037/0033–295X.91.1.1
Hintzman, D. L. (1986). “Schema abstraction” in a multiple-trace memory model. Psychological Review, 93(4), 411–428. https://doi.org/10.1037/0033–295X.93.4.411
Hintzman, D. L. (1988). Judgments of frequency and recognition memory in a multiple-trace memory model. Psychological Review, 95(4), 528–551. https://doi.org/10.1037/0033–295X.95.4.528
Instructor(s):
Edgar Erdfelder
Description:
Inhalt:
Globale Gedächtnismodelle sind formale Prozessmodelle des menschlichen Gedächtnisses. Sie unterscheiden sich zu reinen Messmodellen (z.B. Signalentdeckungstheorie, Schwellenmodelle, …), dadurch, dass sie alle an Gedächtnisaufgaben beteiligten Strukturen und Prozesse (Enkodieren, Speichern, Abrufen) formal spezifizieren. Die zentrale gedächtnispsychologische Annahme ist, dass das Ergebnis von Abrufprozessen durch die Gesamtheit aller Lernerfahrungen bestimmt wird und nicht nur von der Gedächtnisrepräsentation einer einzelnen Erfahrung abhängt. Ausgehend von den in den 80er Jahren formulierten Modellen SAM und MINERVA 2 erarbeiten wir die Grundlagen und die Anwendung globaler Gedächtnismodelle und stellen den Bezug zu konkurrierenden Modellen dar. Darauf anschließend werden aktuelle Anwendungen und Entwicklungen globaler Gedächtnismodelle besprochen
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
Globale Gedächtnismodelle sind formale Prozessmodelle des menschlichen Gedächtnisses. Sie unterscheiden sich zu reinen Messmodellen (z.B. Signalentdeckungstheorie, Schwellenmodelle, …), dadurch, dass sie alle an Gedächtnisaufgaben beteiligten Strukturen und Prozesse (Enkodieren, Speichern, Abrufen) formal spezifizieren. Die zentrale gedächtnispsychologische Annahme ist, dass das Ergebnis von Abrufprozessen durch die Gesamtheit aller Lernerfahrungen bestimmt wird und nicht nur von der Gedächtnisrepräsentation einer einzelnen Erfahrung abhängt. Ausgehend von den in den 80er Jahren formulierten Modellen SAM und MINERVA 2 erarbeiten wir die Grundlagen und die Anwendung globaler Gedächtnismodelle und stellen den Bezug zu konkurrierenden Modellen dar. Darauf anschließend werden aktuelle Anwendungen und Entwicklungen globaler Gedächtnismodelle besprochen
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
Understanding the mind: Basics of human learning (Seminar)
DE
Lecture type:
Seminar
ECTS:
4.0
Course suitable for:
Language of instruction:
German
Hours per week:
2
Attendance:
Online, live
Literature:
wird in der Veranstaltung bekannt gegeben
Instructor(s):
Edgar Erdfelder
Description:
Dieses Seminar beschäftigt sich mit kognitiven Lerntheorien und deren Anwendung in realen Settings (z.B. Schule oder Universitäten). Es werden verschiedene Gedächtnis- und Lerneffekte diskutiert sowie empirische Befunde kritisch hinterfragt. Ziel ist es den Seminarteilnehmern einen Überblick über kognitive Theorien zu geben und gleichzeitig deren Anwendung im Alltag herauszuarbeiten. Neben der inhaltlichen Fragestellung sollen die Teilnehmerinnen und Teilnehmer auch lernen, wissenschaftliche Befunde zu bewerten und zu hinterfragen.
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
Understanding the mind: Basics of human learning (Seminar)
DE
Lecture type:
Seminar
ECTS:
Course suitable for:
Language of instruction:
German
Attendance:
Online, live
Literature:
Wird in der Veranstaltung bekanntgegeben.
Instructor(s):
Edgar Erdfelder
Description:
Dieses Seminar beschäftigt sich mit kognitiven Lerntheorien und deren Anwendung in realen Settings (z.B. Schule oder Universitäten). Es werden verschiedene Gedächtnis- und Lerneffekte diskutiert sowie empirische Befunde kritisch hinterfragt. Ziel ist es den Seminarteilnehmern einen Überblick über kognitive Theorien zu geben und gleichzeitig deren Anwendung im Alltag herauszuarbeiten. Neben der inhaltlichen Fragestellung sollen die Teilnehmerinnen und Teilnehmer auch lernen, wissenschaftliche Befunde zu bewerten und zu hinterfragen.
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/
DE
Lecture type:
Lecture
ECTS:
4.0
Course suitable for:
Language of instruction:
German
Hours per week:
2
Registration procedure:
PSYCHOLOGY EXCHANGE STUDENTS will be contacted by the international affairs coordinator for Psychology (int-psy@uni-mannheim.de) via mail to indicate their course preferences.
NON-PSYCHOLOGY EXCHANGE STUDENTS may solely attend if (a) places are left (b) students posses basic knowledge in Psychology and statistics (c) the docent approves participation. For applications please contact the international affairs coordinator for Psychology (int-psy@uni-mannheim.de).
NON-PSYCHOLOGY EXCHANGE STUDENTS may solely attend if (a) places are left (b) students posses basic knowledge in Psychology and statistics (c) the docent approves participation. For applications please contact the international affairs coordinator for Psychology (int-psy@uni-mannheim.de).
Recommended requirement:
Literature:
Journal papers; reading assignments will be given at the beginning of the semester.
Examination achievement:
schriftliche Hausarbeit
Instructor(s):
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.
AG2/
DE
Lecture type:
Lecture
ECTS:
4.0
Course suitable for:
Language of instruction:
German
Hours per week:
2
Examination achievement:
schriftliche Abgabe der Hausaufgaben / Hausarbeit (benoteter Leistungsnachweis)
Instructor(s):
Michaela Wänke
Description:
Spezielle Themen aus dem Bereich der Konsumentenpsychologie und Ökonomischen Psychologie, z. B. Urteils- und Entscheidungsprozesse im Konsumkontext; Produktgestaltung & Produktkommunikation; Sprache und Personenwahrnehmung; Denken und emotionale Prozesse; Analyse kognitiver, motivationaler und emotionaler Effekte auf Selbstregulation und Leistung
AG4/
DE
Lecture type:
Lecture
ECTS:
4.0
Course suitable for:
Language of instruction:
German
Hours per week:
2
Instructor(s):
Herbert Bless
Description:
Durchgeführt von: Prof. Dr. Dagmar Stahlberg / Prof. Dr. Herbert Bless
Raum: online (SOWI-ZOOM-10)
Teilnahmemöglichkeit: digital live
Zeit: Mo 13.45 – 15.15 Uhr
Erster Termin: 28.09.2020
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 (unbenotet): Klausur oder
Erforderliche Prüfungsleistung (benotet): Klausur
Voraussetzung: Gute Englischkenntnisse
Anmeldung: Über das Studierendenportal
Sprechstunde:
Prof. Dr. Herbert Bless nach Anmeldung, siehe Homepage, A 433
Prof. Dr. Dagmar Stahlberg: Termin nach Vereinbarung
Materialien: Über das Studierendenportal
Raum: online (SOWI-ZOOM-10)
Teilnahmemöglichkeit: digital live
Zeit: Mo 13.45 – 15.15 Uhr
Erster Termin: 28.09.2020
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 (unbenotet): Klausur oder
Erforderliche Prüfungsleistung (benotet): Klausur
Voraussetzung: Gute Englischkenntnisse
Anmeldung: Über das Studierendenportal
Sprechstunde:
Prof. Dr. Herbert Bless nach Anmeldung, siehe Homepage, A 433
Prof. Dr. Dagmar Stahlberg: Termin nach Vereinbarung
Materialien: Über das Studierendenportal
BC2 (auch AC1): Forschungs- und Anwendungstechniken 2: Creating experiments with OpenSesame >> Findet im HWS 2020 NICHT statt (Seminar)
EN
Lecture type:
Seminar
ECTS:
4.0
Course suitable for:
Language of instruction:
English
Hours per week:
2
Registration procedure:
If exchange students require a grade, the course will be graded.
PSYCHOLOGY EXCHANGE STUDENTS will be contacted by the international affairs coordinator for Psychology (int-psy@uni-mannheim.de) via mail to indicate their course preferences.
NON-PSYCHOLOGY EXCHANGE STUDENTS may solely attend if (a) places are left (b) students posses basic knowledge in Psychology and statistics (c) the docent approves participation. For applications please contact the international affairs coordinator for Psychology (int-psy@uni-mannheim.de).
PSYCHOLOGY EXCHANGE STUDENTS will be contacted by the international affairs coordinator for Psychology (int-psy@uni-mannheim.de) via mail to indicate their course preferences.
NON-PSYCHOLOGY EXCHANGE STUDENTS may solely attend if (a) places are left (b) students posses basic knowledge in Psychology and statistics (c) the docent approves participation. For applications please contact the international affairs coordinator for Psychology (int-psy@uni-mannheim.de).
Literature:
Software:
OpenSesame can be downloaded for free under http://osdoc.cogsci.nl/index.html, where you can also find an extensive documentation.
Literature:
Mathôt, S., Schreij, D., & Theeuwes, J. (2012). OpenSesame: An open-source, graphical experiment builder for the social sciences. Behavior Research Methods, 44(2), 314–324. http://dx.doi.org/10.3758/s13428–011-0168–7 (Open Access)
OpenSesame can be downloaded for free under http://osdoc.cogsci.nl/index.html, where you can also find an extensive documentation.
Literature:
Mathôt, S., Schreij, D., & Theeuwes, J. (2012). OpenSesame: An open-source, graphical experiment builder for the social sciences. Behavior Research Methods, 44(2), 314–324. http://dx.doi.org/10.3758/s13428–011-0168–7 (Open Access)
Examination achievement:
Creating an experiment (specific requirements discussed in course)
Instructor(s):
Arndt Bröder
Description:
Please note that this is a block course.
OpenSesame is a free, open-source, and cross-platform software for creating laboratory experiments. Many standard tasks can be implemented in OpenSesame via drag and drop using its graphical user interface. In addition, complex tasks can be realized through the underlying programming language Python. The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of OpenSesame. Besides, the workshop will introduce plug-ins that extend OpenSesame for specific purposes, e.g., the psynteract plug-ins that implement real-time interactions between participants (as required in many economic games), and the mousetrap plug-ins that implement mouse-tracking during decision tasks (a method that is becoming increasingly popular in the cognitive sciences to measure preference development). Additional topics can be covered depending on the preferences of the workshop participants. No prior knowledge of the software or Python is required.
OpenSesame is a free, open-source, and cross-platform software for creating laboratory experiments. Many standard tasks can be implemented in OpenSesame via drag and drop using its graphical user interface. In addition, complex tasks can be realized through the underlying programming language Python. The goal of the workshop is to provide an introduction to both approaches. In doing so, the workshop involves both structured input from the instructor as well as a number of practical exercises so that participants can directly explore the features of OpenSesame. Besides, the workshop will introduce plug-ins that extend OpenSesame for specific purposes, e.g., the psynteract plug-ins that implement real-time interactions between participants (as required in many economic games), and the mousetrap plug-ins that implement mouse-tracking during decision tasks (a method that is becoming increasingly popular in the cognitive sciences to measure preference development). Additional topics can be covered depending on the preferences of the workshop participants. No prior knowledge of the software or Python is required.
AC2/
DE
Lecture type:
Seminar
ECTS:
4.0
Course suitable for:
Language of instruction:
German
Hours per week:
2
Recommended requirement:
Description:
Im Zuge der Replikationskrise in der Psychologie stellt sich die Frage, was gute psychologische Forschung ausmacht. Dieses Seminar beschäftigt sich mit dieser Frage. Im Rahmen dessen werden Studien aus unterschiedlichen psychologischen Bereichen 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 psychologischen Forschungsergebnissen zu vertiefen, sowie methodologische Neuerungen in der Forschungspraxis wie beispielsweise Open Science zu erlernen.
AC2/
EN
Lecture type:
Seminar
ECTS:
4.0
Course suitable for:
Language of instruction:
English
Hours per week:
2
Literature:
Literature will be given during the course
Instructor(s):
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.
BC2 (auch AC1): Forschungs- und Anwendungstechniken: Berufliche Eignungsdiagnostik in der Personalauswahl und Laufbahnberatung (Seminar)
DE
Lecture type:
Seminar
ECTS:
4.0
Course suitable for:
Language of instruction:
German
Hours per week:
2
Attendance:
Online, live
Examination achievement:
Klausur oder Hausarbeit
Instructor(s):
Thorsten Meiser
Description:
Zielsetzung:
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 dann anwendungs- und zielpersonengerecht mündlich und schriftlich kommuniziert werden.
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 dann anwendungs- und zielpersonengerecht mündlich und schriftlich kommuniziert werden.
BF1/
DE
Lecture type:
Seminar
ECTS:
4.0
Course suitable for:
Language of instruction:
German
Hours per week:
2
Literature:
Die Literatur wird in der konstituierenden Sitzung bekannt gegeben.
Examination achievement:
Hausarbeit
Instructor(s):
Sabine Sonnentag
Description:
In diesem Seminar wird das Thema Arbeitsstress behandelt. Dabei fokussieren wir auf verschiedene Aspekte des Stressprozesses wie zum Beispiel Arbeitsbedingungen die im Zusammenhang mit Beanspruchung stehen, Stressbewältigungsprozesse bei den Mitarbeitenden sowie Ansätzen zum Stress-Management.
Das Seminar besteht aus zwei Teilen. Im ersten Teil erarbeiten wir gemeinsam anhand aktueller Forschungsliteratur den Forschungsstand zum Thema. In dieser Zeit haben die Studierenden Gelegenheit, sich für ein Thema zu entscheiden, das sie im Rahmen ihrer Hausarbeit sowie im zweiten Teil des Seminars in Projektgruppen vertieft bearbeiten.
Im Rahmen von Projektgruppen werden die Studierenden im zweiten Teil des Seminars die gelernten und selbst erarbeiteten Inhalte in Form von Broschüren, Postern etc. praxisnah umsetzen. Am Ende des Seminars erfolgt eine Präsentation der Projektgruppenergebnisse.
Neben einer inhaltlichen Diskussion legt das Seminar auch besonderes Gewicht auf die arbeits- und organisationspsychologischen Methoden, mit denen Arbeitsstress erforscht wird.
Das Seminar besteht aus zwei Teilen. Im ersten Teil erarbeiten wir gemeinsam anhand aktueller Forschungsliteratur den Forschungsstand zum Thema. In dieser Zeit haben die Studierenden Gelegenheit, sich für ein Thema zu entscheiden, das sie im Rahmen ihrer Hausarbeit sowie im zweiten Teil des Seminars in Projektgruppen vertieft bearbeiten.
Im Rahmen von Projektgruppen werden die Studierenden im zweiten Teil des Seminars die gelernten und selbst erarbeiteten Inhalte in Form von Broschüren, Postern etc. praxisnah umsetzen. Am Ende des Seminars erfolgt eine Präsentation der Projektgruppenergebnisse.
Neben einer inhaltlichen Diskussion legt das Seminar auch besonderes Gewicht auf die arbeits- und organisationspsychologischen Methoden, mit denen Arbeitsstress erforscht wird.
BF1/
EN
Lecture type:
Seminar
ECTS:
4.0
Course suitable for:
Language of instruction:
English
Hours per week:
2
Literature:
Will be announced in the seminar
Examination achievement:
Hausarbeit
Instructor(s):
Sabine Sonnentag
Description:
This seminar will deal with the topic of emotion regulation at the workplace.
In increasing interdependence work environments and a growing service sector, emotion regulation is an important issue for consideration.
In this seminar, we therefore deal with what is the role of emotion regulation in everyday work,
what are the antecedents and consequences of different emotion regulation strategies,
and how organizations take part in these processes.
We will discuss theoretical models, as well as empirical findings, and practical implications.
In increasing interdependence work environments and a growing service sector, emotion regulation is an important issue for consideration.
In this seminar, we therefore deal with what is the role of emotion regulation in everyday work,
what are the antecedents and consequences of different emotion regulation strategies,
and how organizations take part in these processes.
We will discuss theoretical models, as well as empirical findings, and practical implications.
BH1/
DE
Lecture type:
Seminar
ECTS:
4.0
Course suitable for:
Language of instruction:
German
Hours per week:
2
Attendance:
Online, live
Examination achievement:
Hausarbeit/
Instructor(s):
Stefan Münzer
Description:
Das Lernen mit digitalen Medien weist zwei wesentliche Eigenschaften auf: Multiple Repräsentationsformate und Interaktivität. Diese Eigenschaften besitzen sowohl Potentiale als auch Herausforderungen beim Lernen.
Ausgehend von sich ergänzenden (kognitiven) Theorien des Lernens mit Multimedia werden verschiedene Designprinzipien vorgestellt, die sich darauf beziehen wie Informationen in multiplen Repräsentationen (z.B. Texten und Visualisierungen) dargeboten werden sollten. Ferner werden die Chancen und Risiken von Interaktivität (z.B. webbasierte Lernumgebungen; Simulationen) adressiert.
Im Kontext dieser Themen wird im Sinne von Aptitude-Treatment Interactions die Rolle des Einflusses unterschiedlicher Voraussetzungen der Lernenden (z.B. räumliches Vorstellungsvermögen; Visualisierer-Verbalisierer; Vorwissen…) und damit einhergehend die Potentiale adaptiver Lernumgebungen behandelt.
Zudem werden Prozessdaten, mit dem Schwerpunkt Blickbewegung und Pupillometrie, und deren Mehrwert für die Forschung (&Anwendung) thematisiert (z.B. Unterscheidung unterschiedlicher Strategien; Messung mentaler Beanspruchung während der Aufgabenbearbeitung).
Hierauf aufbauend wird die Erhebung von Blickbewegungsdaten exemplarisch durchgeführt und unterschiedlichen Analyseverfahren und Strategien zur Auswertung dieser Daten erarbeitet und angewendet.
Eigene Themenvorschläge für einzelne Sitzungen sind willkommen und finden Berücksichtigung – sofern sie in den übergeordneten thematischen Rahmen des Seminars passen und auch bei den Kommiliton*innen Interesse finden.
BH1/
DE
Lecture type:
Seminar
ECTS:
4.0
Course suitable for:
Language of instruction:
German
Hours per week:
2
Attendance:
Online, live
Examination achievement:
Hausarbeit
Instructor(s):
Benedict Fehringer
Description:
Die Nutzung von Eye Trackern zur Messung von Blickbewegungen und Pupillenänderungen wird durch immer günstigere Geräte in immer mehr psychologischen Anwendungsbereichen möglich. Dieses Seminar wird Ihnen zunächst eine kurze allgemeine Einführung in Eye Tracking und Pupillometrie sowie die dort verwendeten und auch theoretisch möglichen Maße bieten. Danach werden in einzelnen Referaten verschiedene Studien vorgestellt, die Blickbewegungsmaße und/
BM1/
DE
Lecture type:
Seminar
ECTS:
4.0
Course suitable for:
Language of instruction:
German
Hours per week:
2
Instructor(s):
Herbert Bless
Description:
BM1/
Inhalt: Wozu brauchen wir Geld? Welche Funktion hat Geld? Was macht Geld mit uns? Wie denken wir über Geld nach? Das Konzept Geld ist aus unserem Leben nicht wegzudenken, in sehr vielen Bereichen unseres Alltags ist es präsent – und dies ziemlich unabhängig davon, ob wir wenig Geld oder viel Geld zur Verfügung haben. Wenn wir über Geld nachdenken, wird schnell ersichtlich, dass die ökonomische und die psychologische Perspektive auf Geld häufig eng verknüpft sind. Dabei kann man die Beziehung zwischen Geld und Psychologie aus zwei Richtungen betrachten: Einerseits beeinflussen psychologische Mechanismen, wie wir Geld wahrnehmen und wie wir Finanzentscheidungen treffen und andererseits beeinflusst Geld unser Denken, Erleben und Verhalten. Im Rahmen des Seminars sollen selektiv ausgewählte Fragestellungen näher betrachtet werden: „Macht Geld glücklich?“ „Welche Folgen sind zu erwarten, wenn Personen an Geld denken?“ „Welche psychologischen Konsequenzen sind beobachtbar, wenn Personen über ein sehr geringes Einkommen/
Zeit: Montag 10.15–11.45, wöchentlich
erster Termin: 28.9.2020
Literatur: Wird in der Veranstaltung bekannt gegeben.
Empfohlen für: Studierende der Psychologie des Masterstudiengangs „Arbeit, Wirtschaft und Gesellschaft“. Die Veranstaltung kann als BM1/
Raum: online (SOWI-ZOOM-10)
Teilnahmemöglichkeit: digital live
Erworben werden kann: Nachweis einer benoteten Prüfungsleistung. Erforderlich für den Leistungsnach sind (a) aktive Seminarteilnahme, (b) eigene Präsentation, (c) Hausarbeit. Grundlage für die Benotung ist die schriftliche Hausarbeit.
ECTs: 4
Voraussetzung: Zulassung zum Masterstudiengangs „Arbeit, Wirtschaft und Gesellschaft“
Anmeldung: Über das Studierendenportal
Sprechstunde: nach Anmeldung, siehe Homepage, A 433
Materialien: Über das Studierendenportal
Inhalt: Wozu brauchen wir Geld? Welche Funktion hat Geld? Was macht Geld mit uns? Wie denken wir über Geld nach? Das Konzept Geld ist aus unserem Leben nicht wegzudenken, in sehr vielen Bereichen unseres Alltags ist es präsent – und dies ziemlich unabhängig davon, ob wir wenig Geld oder viel Geld zur Verfügung haben. Wenn wir über Geld nachdenken, wird schnell ersichtlich, dass die ökonomische und die psychologische Perspektive auf Geld häufig eng verknüpft sind. Dabei kann man die Beziehung zwischen Geld und Psychologie aus zwei Richtungen betrachten: Einerseits beeinflussen psychologische Mechanismen, wie wir Geld wahrnehmen und wie wir Finanzentscheidungen treffen und andererseits beeinflusst Geld unser Denken, Erleben und Verhalten. Im Rahmen des Seminars sollen selektiv ausgewählte Fragestellungen näher betrachtet werden: „Macht Geld glücklich?“ „Welche Folgen sind zu erwarten, wenn Personen an Geld denken?“ „Welche psychologischen Konsequenzen sind beobachtbar, wenn Personen über ein sehr geringes Einkommen/
Zeit: Montag 10.15–11.45, wöchentlich
erster Termin: 28.9.2020
Literatur: Wird in der Veranstaltung bekannt gegeben.
Empfohlen für: Studierende der Psychologie des Masterstudiengangs „Arbeit, Wirtschaft und Gesellschaft“. Die Veranstaltung kann als BM1/
Raum: online (SOWI-ZOOM-10)
Teilnahmemöglichkeit: digital live
Erworben werden kann: Nachweis einer benoteten Prüfungsleistung. Erforderlich für den Leistungsnach sind (a) aktive Seminarteilnahme, (b) eigene Präsentation, (c) Hausarbeit. Grundlage für die Benotung ist die schriftliche Hausarbeit.
ECTs: 4
Voraussetzung: Zulassung zum Masterstudiengangs „Arbeit, Wirtschaft und Gesellschaft“
Anmeldung: Über das Studierendenportal
Sprechstunde: nach Anmeldung, siehe Homepage, A 433
Materialien: Über das Studierendenportal
BM1/
DE
Lecture type:
Seminar
ECTS:
4.0
Course suitable for:
Language of instruction:
German
Hours per week:
2
Instructor(s):
Herbert Bless
Description:
Modul: BM1/
Titel: Psychologie der Beratung
durchgeführt von: Dr. Sabine Scholl
Raum: online (SOWI-ZOOM-03)
Teilnahmemöglichkeit: digital live
Termin: Montag, 12:00–13:30 Uhr
Veranstaltungszeitraum: 28.09.-09.12.2020
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: B.Sc. in Psychologie oder äquivalenter Abschluss
Anmeldung: Portal2
Sprechstunde: Nach Vereinbarung
Titel: Psychologie der Beratung
durchgeführt von: Dr. Sabine Scholl
Raum: online (SOWI-ZOOM-03)
Teilnahmemöglichkeit: digital live
Termin: Montag, 12:00–13:30 Uhr
Veranstaltungszeitraum: 28.09.-09.12.2020
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: B.Sc. in Psychologie oder äquivalenter Abschluss
Anmeldung: Portal2
Sprechstunde: Nach Vereinbarung
Einführung in die Medienpsychologie / Media Psychology (Lecture)
DE
Lecture type:
Lecture
ECTS:
4.0
Course suitable for:
Language of instruction:
German
Hours per week:
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.
Examination achievement:
Klausur
Instructor(s):
Peter Vorderer
Description:
Die Art und Weise, wie wir miteinander kommunizieren, unsere Freizeit verbringen und unserer Arbeit nachgehen, hat sich in den letzten Jahren und Jahrzehnten stark verändert – nicht nur, aber auch wegen der fortschreitenden technologischen Entwicklung und zunehmenden Verbreitung von Medien. Die Fragen, wie und warum Menschen Medien nutzen, wie sie Medieninhalte verarbeiten und welche Wirkungen und Folgen die Mediennutzung hat, sind von hoher individueller, ökonomischer und gesellschaftlicher Bedeutung. Die Vorlesung zur Einführung in die Medienpsychologie wird in diesem HWS gemeinsam mit Frau Prof. Mata angeboten und einen medien- und gesundheitspsychologischen Schwerpunkt haben. Dabei werden wir uns vor allem mit Wirkungen und Nebenwirkungen im Bereich Gesundheit und Well-Being auseinandersetzen: Welche Auswirkungen hat die Digitalisierung auf Gesundheit und Gesundheitsverhalten – neuer Wein in alten Schläuchen oder eine echte Revolution? Wie kann ich mich im mHealth-Dschungel orientieren? Wie wirksam ist mHealth? Wie beeinflussen digitale Freundschaften und soziale Medien Gesundheitsverhalten und Wohlbefinden? Welche Nebenwirkungen haben digitale Medien? Diese und andere Fragen werden wir anhand von aktueller Literatur und Beispielen vor einem kommunikationswissenschaftlichen und psychologischen Hintergrund bearbeiten.
BM1/
EN
Lecture type:
Seminar
ECTS:
4.0
Course suitable for:
Language of instruction:
English
Hours per week:
2
Instructor(s):
Herbert Bless
Description:
Nur CDSS: Ausgewählte Probleme der Sozialpsychologie I/
Chairs: Prof. Dr. Herbert Bless, Prof. Dr. Dagmar Stahlberg
Room: online (SOWI-ZOOM-03)
Participation: digital live
Time: Thursday, 1:45 p.m. – 3:15 p.m.
First session: 1.10.2020
Content:
This seminar has a particular focus on research activities in social psychology. Unlike seminars that concentrate on one core thematic topic, this seminar will address a selected variety of different research topics in current social psychology. In each seminar session we will have a presentation either by participating Ph.D. students or by members of the social psychology group. Each presentation will address a current research topic in social psychology. The seminar provides the opportunity to actively discuss methodological, theoretical, and applied implications of the presented research. A particular focus will rest on the discussion of general methodological aspects.
Literature: Will be announced in the seminar
Recommended for: Students of the graduate school of the University of Mannheim (CDSS) and other doctoral students of the University of Mannheim.
ECTS: 4
Examination (graded): Awarded for (a) active participation in the seminar discussions, (b) own presentation, and (c) homework. Grades are based on the homework (essay).
Requirements: Enrollment in the CDSS or other doctoral programs.
Registration: via Studierendenportal (Portal2)
Office hours: see Homepages, Bless: room A 433, Stahlberg: on appointment only
Materials: via Studierendenportal (ILIAS)
Chairs: Prof. Dr. Herbert Bless, Prof. Dr. Dagmar Stahlberg
Room: online (SOWI-ZOOM-03)
Participation: digital live
Time: Thursday, 1:45 p.m. – 3:15 p.m.
First session: 1.10.2020
Content:
This seminar has a particular focus on research activities in social psychology. Unlike seminars that concentrate on one core thematic topic, this seminar will address a selected variety of different research topics in current social psychology. In each seminar session we will have a presentation either by participating Ph.D. students or by members of the social psychology group. Each presentation will address a current research topic in social psychology. The seminar provides the opportunity to actively discuss methodological, theoretical, and applied implications of the presented research. A particular focus will rest on the discussion of general methodological aspects.
Literature: Will be announced in the seminar
Recommended for: Students of the graduate school of the University of Mannheim (CDSS) and other doctoral students of the University of Mannheim.
ECTS: 4
Examination (graded): Awarded for (a) active participation in the seminar discussions, (b) own presentation, and (c) homework. Grades are based on the homework (essay).
Requirements: Enrollment in the CDSS or other doctoral programs.
Registration: via Studierendenportal (Portal2)
Office hours: see Homepages, Bless: room A 433, Stahlberg: on appointment only
Materials: via Studierendenportal (ILIAS)