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Applied Survey Analysis

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Applied Survey Analysis

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.


  • Please check out the Syllabus for further detailed information.

Course Organisation

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)

  • 18.10.2022, 14:00 - 18:00
  • 25.10.2022, 14:00 - 18:00
  • 01.11.202214:00 - 18:00
  • 08.11.2022, 14:00 - 18:00

Lecture attendance: voluntary

Training sessionsa:

(Weekly on Tuesday)

  • 15.11.2022, 14:00 - 17:00
  • 22.11.2022, 14:00 - 17:00
  • 29.11.2022, 14:00 - 17:00
  • 06.12.2022, 14:00 - 17:00

Lecture attendance: voluntary

Term paper deadline: TBD
Prior course evaluations by participants:
  • SoSe 2019: 1,3
  • SoSe 2020 (digital): 1,3
  • WiSe 2020/21 (digital): 1,3
  • SoSe 2021 (digital): 1,3
  • WiSe 2021/22 (digital): 1,1
  • SoSe 2022: 1,2

aSubject to possible changes

*If you have no appropriate childcare option, children can be brought into the course

General information about the term paper guidelines

Best Term Paper Awards