6 ECTS credits
174 h study time
Offer 1 with catalog number 3023708ANW for working students in the 1st semester at a (A) Bachelor - preliminary level.
This course is designed to introduce students to quantitative research methods, including both descriptive statistics and elementary inferential statistics. The aim is to develop students’ knowledge and skills in the field of quantitative research methods in preparation for the independent processing, interpretation and reporting of collected data (in the context of the later master's thesis and business decisions). Further, the course also aims to develop student's ability to understand, assess and interpret existing quantitative research. This introductory course mainly emphasizes interpretation of statistical results over mathematical computation. An introduction to using SPSS, a statistical software, is provided.
This introductory statistics course consists of nine parts. The first part provides an introduction to statistics and statistical concepts. The second part sheds light on displaying and describing data. The third part discusses the principle of hypothesis testing. It discusses the fundamentals of inferential statistics and the logic behind the statistical reasoning process. The fourth part discusses difference and variance tests. The fifth and sixth part focus on correlation and regression. In parts seven and eight, non-parametric tests and logistic regression are being discussed. A final part wraps up the course by discussing how to choose the right statistical test given the data available.
Teaching Methods
- Lecture: collective contact-dependent moments during which the lecturer engages with learning materials
- Seminar, Exercises or Practicals (Practical): collective or individual contact-dependent moments during which the students are guided to actively engage with learning materials
- Independent or External Form of Study (Self): independent study
This description of the teaching methods is indicative, in order to assess the expected study load.
Lecture: 4 hours
Practical: 32 hours
Self: 138 hours
The objective of this course is to clearly present elementary concepts and techniques of quantitative research methods, including both descriptives and inferential statistics. The focus of the course is mainly the interpretation of statistical analyses. Further the course introduces SPSS.
The final grade is composed based on the following categories:
Written Exam determines 85% of the final mark.
Other Exam determines 15% of the final mark.
Within the Written Exam category, the following assignments need to be completed:
Within the Other Exam category, the following assignments need to be completed:
Throughout the course, students will be asked to complete and submit several homework assignments.
The component "homework assignments" cannot be resumed in the second session. No replacement assignment will be organised. The grade on this component is transferred from the first to the second session, but is not transferred to the following academic year. If the homework assignments were not carried out during the semester, the grade on this component will be zero in the first and second exam session. As such the final grade will be limited to a maximum of 85% out of 20. Homework assignments have strict due dates. No grades will be assigned in case of late submission.
This offer is part of the following study plans:
Preparatory Programme Master of Science in Management: Academische Master
Preparatory Programme Master of Science in Management: Academische Bachelor