891325 Research design

Type
Lecture and exercise
Semester hours
2
Lecturer (assistant)
Wimmer, Rupert , Müller, Ulrich
Organisation
Offered in
Wintersemester 2024/25
Languages of instruction
Englisch
Content

The Research Design lecture consists of a lecture part (20% Prof. Wimmer) and a seminar part (80% Dr. Müller)
The lecture starts with an introduction to scientific theory (two lecture units Prof. Wimmer). Learning objective: Basic understanding of the theory of science.
As part of the seminar (Dr. Müller), the application of suitable scientific and statistical methods will be practiced and deepened using a practical example as part of group work.

At the beginning of the semester, Dr. Müller will explain the basic statistical methods that are used in the majority (over 90%) of scientific practice. This part includes basic research design considerations, formulation of a technical or scientific question, formulation of hypotheses, statistical tests (T-test, ANOVA, etc.) and regressions. A basic understanding of the application of the statistical methods is essential. What is being compared? What statements can be made about statistical tests performed? What does my statistical result mean? What conclusions can I draw? The various methods are explained using examples that are as practical as possible.
The remaining part of the seminar involves group work. As part of the group work (max. 5 students per group), a scientific project is developed and the methods presented are applied. A detailed description of the group work procedure can be found in the ppt presentation on BOKU learn of the seminar part by Dr. Müller.
Previous knowledge expected

Basic scientific knowledge, interest and experience in research and experimental working
Objective (expected results of study and acquired competences)

Familiarization with concepts and methods for solving research questions
Basic understanding of the philosophy of science
Hypothesis generation and correct application of statistical methods
You can find more details like the schedule or information about exams on the course-page in BOKUonline.