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43494-01 - Kolloquium: Survey Research Methodology 3 KP

Semester Frühjahrsemester 2022
Angebotsmuster Jedes Frühjahrsem.
Dozierende Daniel Auer (daniel.auer@unibas.ch, BeurteilerIn)
Inhalt The course is an applied methods colloquium taught at a master's degree level. The main goal is to prepare us for conducting simple research and writing a short version of an academic report using a survey or survey-experiment method. The course covers two major areas: (1) the nature of surveys, including the typical psychology of attitude expressions, issues of question wording, context, and social desirability. Moreover, we learn how to implement online surveys; (2) the logic of causal inference and how to analyze and interpret treatment effects (for survey experiments).

Survey-based data collection enables various interesting empirical studies. For example, public opinion studies investigate simple but fundamental puzzles around us. Why did (or did not) somebody vote, think, or behave in a certain way? Would people hold different perceptions on the same topic, product, or policy if some "X" happened?

We will cover related theory and discuss contemporary empirical applications from economics, political science, and sociology. In parallel, students will draft and field their own surveys. The topic can be chosen freely and may relate to students' term papers or MA theses. The goal of the practical part of this course is to highlight advantages and caveats of survey research in a hands-on manner.

For learning about and conducting surveys and survey experiments, we will use Qualtrics as a survey software and Stata for computing simple statistics, such as treatment effects. (Students are welcome to use R for their own analyses but the applied sessions in class will only cover Stata).

Basic knowledge of statistics and regressions (e.g., OLS) would be beneficial. If you have concerns about necessary prerequisites, do not hesitate to contact me at the beginning of the semester (daniel.auer@uni-mannheim.de).
Lernziele 1. Learn survey and survey experiment methods from an applied, practical point of view, 2. Learn how to use them in research by doing, 3. Learn fundamental and application of causal inference.
Literatur tba
Bemerkungen Students are asked to bring their own laptops to the classes and have Stata installed.
Weblink Tentative syllabus available here

 

Teilnahmebedingungen The course will use examples from economics, political science, and sociology, often related to inequality, attitudes, and individual preferences. For class assignments and research notes, however, students can choose their own topic of interest. Basic knowledge of sampling and statistics would be useful. Basic knowledge of Stata is also useful (R as an alternative).

Participation rule for MSD students: This is a mandatory class for all MSD students. Nonetheless, if you have attended the colloquium “50768: Survey Data Collection and Analytics” with Prof. Dr. A. Kachi and earned CP for it in a former semester you are not allowed to enrol for this colloquium 43494 and therefore, cannot earn CP anymore.

Anmeldung zur Lehrveranstaltung Registration: Please enrol in MOnA. EUCOR-Students and students of other Swiss Universities have to enrol at the students administration office (studseksupport1@unibas.ch) within the official enrolment period.
Unterrichtssprache Englisch
Einsatz digitaler Medien kein spezifischer Einsatz
Module Modul: Interdisziplinäre Forschung zu Nachhaltigkeit (Masterstudium: Sustainable Development)
Modul: Specific Electives in Finance, Controlling, Banking (Masterstudium: Wirtschaftswissenschaften)
Modul: Specific Electives in Marketing and Strategic Management (Masterstudium: Wirtschaftswissenschaften)
Modul: Technology Field (Masterstudium: Business and Technology)
Modul: Wahlbereich (Masterstudium: Wirtschaftswissenschaften (Studienbeginn vor 01.08.2021))
Leistungsüberprüfung Leistungsnachweis
Hinweise zur Leistungsüberprüfung (1) Active participation, (2) Presentation of a scientific study/design challenge, (3) Written seminar paper (3000 words).
An-/Abmeldung zur Leistungsüberprüfung An-/Abmelden: Belegen resp. Stornieren der Belegung via MOnA
Wiederholungsprüfung keine Wiederholungsprüfung
Skala Pass / Fail
Wiederholtes Belegen beliebig wiederholbar
Zuständige Fakultät Wirtschaftswissenschaftliche Fakultät / WWZ, studiendekanat-wwz@unibas.ch
Anbietende Organisationseinheit Wirtschaftswissenschaftliche Fakultät / WWZ

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