Subject description for 2024/25
Quantitative Methods and Statistics
MET5005
Subject description for 2024/25
Quantitative Methods and Statistics
MET5005
The course provides students with in-depth theoretical and practical knowledge about quantitative research methods and statistics. The course provides a basis for understanding and applying quantitative methods that are relevant to professional development and research in health sciences. The course also provides specialisation in quantitative research methods and design. An introduction is given to key methods for collecting and analysing quantitative data. The course deals with key aspects regarding the establishment of samples, measurements, experiment and survey design, quantitative data analysis and statistical processing. An introduction to and practical application of SPSS software will be given.
Knowledge
- Has in-depth knowledge about basic quantitative methodology concepts. Has advanced knowledge about various quantitative research designs and methods
- Has in-depth knowledge about the use and interpretation of statistics
Skills:
- Can apply knowledge about different quantitative designs and methods within health sciences in an independent manner
- Can formulate research issues related to health and participation within the field of quantitative research.
- Can analyse and account for different statistical measurements
- Can relate critically to and carry out certain basic statistical tests, as well as formulate academic reasoning/conclusions based on statistical findings.
General competence:
- Can relate critically to and account for the strengths and weaknesses of various quantitative research designs
- Can critically analyse scientific articles/publications that apply quantitative designs and methods
- Can, with the help of quantitative research, contribute to innovative thinking and innovation processes within one’s own subject area, according to UN's Sustainability goal to ensure healty lives and promote well-being for all.
- Can use subject area terminology and software for statistical analyses
No fees other than semester fees and course literature.
Compulsory course
Session-based. The sessions are conducted as fysical lectures, presentations and practical exercises with feedback from fellow students and teachers. Teaching methods used: Lectures, seminars, group work and practical skills training.
Self-study and coursework are expected both before and after the sessions.
The course is evaluated annually by the students through course surveys. These evaluations are part of the University’s quality assurance system.
The course includes two pieces of coursework. Coursework must be approved before the final course grade can be given. Grading: approved/ not approved.
Final exam is 5 days of sit-home-exam. Grading: A-F.
No prerequisite knowledge is required apart from the master’s programme admission requirements.
Subject language
Norwegian
Credits
7.5
Study location
Bodø, Levanger
Responsible faculty
The Faculty of Nursing and Health Sciences
Course coordinator
