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DSV610_1

Quantitative Research Methods in Innovation Studies

This is the study programme for 2019/2020. It is subject to change.


Learning outcome

Knowledge:
  • Students will have an advanced overview of quantitative analysis techniques and their application in innovation research.
  • Students will be able to evaluate the use of methods and the main data sources relevant for innovation research.
  • Students will be able to develop new knowledge and new theories on innovation using quantitative methods.

Skills:
  • Students will be able to conduct innovation research at an international level using quantitative methods, including factor analysis, regression and correlation analysis, multiway contingency table analysis and social network analysis.
  • Students will be able to formulate new research questions and conduct innovation research using quantitative methods.
  • Students will be able to handle complex questions and to challenge existing knowledge about innovation.

General competence:
  • Students will be able to assess when and how to use quantitative research methods.
  • Students will be able to communicate their research in international journals.
  • Students will be able to discuss academic analyses in the field at an advanced level.
  • Students will be able to assess international research using quantitative methods.

Contents

This course is part of the Norwegian Research School in Innovation (NORSI) and covers the quantitative analysis part of the common course in research methods under the NORSI program. The course will exclusively be offered as a part of NORSI common courses. The course will survey the most commonly used quantitative analysis techniques in the social sciences such as an introduction to SPSS, factor analysis, regression and correlation analysis, multiway contingency tables and social network analysis. Students will learn about these techniques as applied in the field of innovation studies.

Required prerequisite knowledge

The students must satisfy the admissions requirements of the PhD programme.

Exam

Weight Duration Marks Aid
Report1/1 Pass - Fail
To obtain 5 ECTS point requires active participation during the course as well as an accepted paper of 3.000-4.000 words demonstrating competence in using quantitative methods. The paper should be based on the topic of the PhD thesis and reflect literature used in the course. If quantitative methods will not be used in the thesis a paper answering given tasks could substitute a normal paper. However, the concrete form of the written delivery can be further discussed during the course.
The paper will be assessed as a pass/fail.

Coursework requirements

The course requires active class room participation.

Course teacher(s)

Course teacher
Bjørn Terje Asheim
Course coordinator
Rune Dahl Fitjar

Method of work

The course will be delivered as a one week intensive course at CIRCLE, Lund University, as part of the Norwegian Research School in Innovation. The course will include lectures and computer lab sessions in relation to the methods.

Open to

The course is open to interested PhD candidates at the University of Stavanger and other universities.

Literature

The reading list will be announced before the start of the course.


This is the study programme for 2019/2020. It is subject to change.

Sist oppdatert: 13.11.2019

History