Course content

Topics of the course:

• Theory of Science
• Research design
• Data collection
• Data analysis
• Research ethics
• Reporting

Learning outcome

Knowledge

The student:

• Has knowledge of both qualitative and quantitative research methods
• Has a professional basis for choosing a methodological approach in R&D-based analyses (as well as in his/her own master's thesis).
• Is familiar with a wide range of data collection and analysis methods
• Is able to apply basic statistical methods to economic/administrative problems.
• Masters univariate, bivariate and multivariate analysis methods.
• Has knowledge in both analytical theory and practical application.
• Has acquired the ability to critically methods.

Skills

The student:

• Can understand and evaluate qualitative and quantitative surveys, as well as conduct both quantitative and qualitative surveys.
• Masters the SPSS analysis program.

General competence

• The student has acquired the ability to critical reflection with respect to research methods

Learning methods and activities

Lectures, group work and exercises.

Compulsory assignments

• Obligatorisk semesteroppgave.

Specific conditions

Required previous knowledge

Basic course in statistics

Course materials

The syllabus is given at the start of the semester

Credit reductions