Data Analysis: Methods in Empirical Communication Research - Interactive curriculae of TU Ilmenau
The interactive curriculae provide information on the degree programmes offered by the TU Ilmenau.
Please refer to the respective study and examination rules and regulations for the legally binding curricula (Annex Curriculum).
You can find all details on planned lectures and classes in the course catalogue.
Please note that this page is no longer updated. All modules and study plans from PO version 2021 onwards (Bachelor and Master study programs) are now available on the Campus Portal.
| module properties Data Analysis: Methods in Empirical Communication Research in degree program Master International Business Economics 2021 | |
|---|---|
| module number | 200813 |
| examination number | 2500570 |
| department | Department of Economic Sciences and Media |
| ID of group | 2559 (Kommunikationswissenschaft mit Schwerpunkt Computational Communication Science) |
| module leader | Prof. Dr. Emese Domahidi |
| term | winter term only |
| language | Englisch |
| credit points | 5 |
| on-campus program (h) | 34 |
| self-study (h) | 116 |
| obligation | elective module |
| exam | alternative examination performance |
| details of the certificate | Students write a research paper based on their own statistical analysis. |
| link to Moodle course | Course:" title="link to Moodle course" target="_blank">https://moodle.tu-ilmenau.de/course/view.php?id=3633">Course: |
| teacher | |
| signup details for alternative examinations | Enrolment in the course takes place by registering in the Moodle room by 20 October 2025. Registration for the exam is done directly by the Examination Office based on the list of participants |
| maximum number of participants | |
| previous knowledge and experience | Basic knowledge on social science research methods and statistics (basic graduate level). |
| learning outcome | After the lecture students are able to understand and explain selected quantitative methods for data analysis and complex research designs. After the exercise students are able to apply quantitative methods for their data analysis - Students are able to organize, prepare and modify empirical data for statistical analysis. - Students understand how to apply different methods of uni-, bi- and multivariate analysis of quantitative data to answer research questions. - Students are able to interpret and explain the results of advanced statistical analyses. |
| content | In the lecture the principles and the statistical background of basic methods of data analysis are explained. These methods are applied to specific research problems in the exercise. Therefore, real research data are analyzed using R. Techniques of data management and wrangling and different techniques of uni-, bi- and multivariate analysis of quantitative data are learned (e.g. frequencies, measures of central tendency, correlation analysis, regression analysis, analysis of variance, factor analysis).
|
| media of instruction and technical requirements for education and examination in case of online participation |
Sie brauchen: Kamera für Videoschnitt(720p/HD), Mikrofon, Internetsverbindung terminal device that meets the technical requirements of the required software. |
| literature / references | Will be announced each semester. |
| evaluation of teaching | |