Please note: the information in the course manual is binding.
The general aim of this course is twofold. The first aim is to learn how to write a research proposal for a quantitative study. The second aim is to learn about different quantitative analyses that are frequently used in innovation studies.
After completion of the course, the student is able to:
- Write a research proposal for a quantitative study
- Assess a research proposal for a quantitative study
- Characterize innovation as an output measure
- Characterize networks as an input measure
- Explain and apply several analysis techniques, e.g.:
- Social network analysis
- General linear models
- Multinomial models, logistic models, ordinal models
- Poisson and negative binomial models
- Interpret and evaluate findings of different analyses
- Write a full report and a summary web report based on the findings of research by a group of students.
In this course we make use of lectures and practicals. In the lectures the subject(s) for that specific week is/are explained. In the practicals you will mainly apply the knowledge and practice in R by means of assignments. |
One of the aims is to learn how to write a research proposal for a quantitative study. You will first practice this and then you will write a research proposal that will be graded. You are also expected to assess the proposals of other students.
Each week students hand in a “small assignment”.
At the end you need to hand in a final assignment.
This course is an entry requirement for:
- Master’s Thesis IS (GEO4-2239X)
- Consultancy Project IS (GEO4-2252)