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Quantitative Research Methods in Innovation Studies DSV610


Course description for study year 2021-2022

Facts
Course code

DSV610

Version

1

Credits (ECTS)

5

Semester tution start

Spring, Autumn

Number of semesters

1

Exam semester

Spring, Autumn

Language of instruction

English

Offered by

UiS Business School, UiS Business School

Learning outcome

Knowledge:

  • Students will have an basic 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 a basic level using quantitative methods, including factor analysis, regression and correlation 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 the statistical software R

General competence:

  • Students will be able to assess when and how to use quantitative research methods.
  • Students will be able to discuss academic analyses in the field at a basic level.
  • Students will be able to assess research using quantitative methods.
Content
This course is part of the Norwegian Research School in Innovation (NORSI) and introduces students to 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 R, data reduction techniques, regression and correlation analysis, 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
Form of assessment Weight Duration Marks Aid
Term paper 1/1 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 coordinator: Tom Brökel
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 for
The course is open to interested PhD candidates at the University of Stavanger and other universities.
Literature
The syllabus can be found in Leganto