Course Syllabus for students Spring 2023

Upon completion of the course students should have the ability to:

• describe and discuss various quantitative research and analysis methods
• describe and discuss various qualitative research and analysis methods.

• critically evaluate research methods in relation to a well-defined aim
• determine and apply appropriate statistical tests for different types of empirical data
• determine and apply appropriate methods for analysis of qualitative data
• use statistical packages (e.g. SPSS and Excel) and apply common statistical tests.

• appreciate the importance of research ethics
• develop independent thinking for critically analysing research reports.

- research ethics
- qualitative data collection methods
- common methods for analysing qualitative data
- quantitative research design
- data management and descriptive statistics
- hypothesis testing (including tests between two or more groups)
- measurement error
- reliability and validity
- statistical power

The course is conducted in the form of online instructional content, lectures and tutorials.

The teaching is conducted in English.

General entry requirements.

The course is graded A, B, C, D, E, FX or F.

The course examination will be based upon a two-part individual examination (one part is conducted using statistical analysis software).

A university lecturer will serve as examiner for this course.

Name of the Test	Value	Grading
Examination	7.5 credits	A/B/C/D/E/FX/F

Creswell, J. W., & Poth, C. N. (2018). Qualitative inquiry & research design?: choosing among five approaches. Sage Publications.

Field, A. (2013). Discovering statistics using IBM SPSS statistics: and sex and drugs and rock 'n' roll. Los Angeles: Sage.

Greenhalgh, T. (2019). How to read a paper?: the basics of evidence-based medicine and healthcare. John Wiley & Sons Ltd.

The most recent editions of the course literature should be used.
Additional relevant journal articles will be used.