Applied Survey Analysis
Further information on Applied Survey Analysis »
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Applied Survey Analysis |
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In the course of this master's module, students will gain insights into the design of questionnaires, the fundamentals of data analysis, explorative factor analysis (EFA), multivariate ordinary least squares (OLS) and generalized linear model (GLM) regressions, multilevel modeling (MLM), complex survey designs with survey weights as well as issues of item non-response (e.g. multiple imputation), endogeneity and the application of instrumental variable (IV) approaches.
Concomitantly, this module is trying to give an integrated, application-oriented overview of already known concepts and methods. Along with an introduction into the statistics software Stata® and its basic syntax commands, the students will learn how to present several different statistic outputs in written form to be optimally-equipped for a later master thesis.
Overall, the structure of the module consists of three stages: 1) Teaching sessions for consolidated theory transfer (see teaching sessions) 2) Training sessions in the computer lab (see training sessions) 3) Written, statistical term paper (max. 2 persons; 15-20 pages)
Students will prepare the term papers in groups of two. They will be supported by the module convener throughout the entire process by consultation appointments. The term paper can be written in English or German language.
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Course Organisation |
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| Module code: | 02-BWL:MSc-Extra6CP |
| Credits: | 6 |
| Module convener: | Philipp Schade |
| Turnus: | Summer and Winter Term |
| Number of participants: | 24 |
| Assessment: | Term paper in groups of two |
| Term paper in: |
English or German |
| Course language: | German |
| Attendance: | In Person |
| Teaching sessionsa: |
(Weekly on Tuesday)
Lecture attendance: voluntary |
| Training sessionsa: |
(Weekly on Tuesday)
Lecture attendance: voluntary |
| Term paper deadline: | TBD |
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Application:
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| Prior course evaluations by participants: |
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aSubject to possible changes *If you have no appropriate childcare option, children can be brought into the course |
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General information about the term paper guidelines
Best Term Paper Awards