Basic Principles of Evidence-based Practice and Research Process (5cr)

Objectives (course unit)

The student
• the student knows the basic principles of evidence-based activity
• understands the starting points and methods of scientific research
• knows the differences between quantitative and qualitative research and approaches of the implementation
• knows the data collection and analysis methods of different research settings
• is able to evaluate the reliability and ethical principles of scientific research

Content (course unit)

• Evidence-based Practice
• Criteria for Scientific Knowledge
• Research Process
• Quantitative and Qualitative Research and Methods
• Ethical Principles of Research
• Evaluation of the Reliability of the Research
• Data Management

Assessment criteria, satisfactory (1-2) (course unit)

The score for the exam will be given after the announcement of the student selection results.

The evaluation of the course is carried out based on the midterms and final exams of the course as follows:

Failed: less than 40 points
1: 40 to 51,99 points
2: 52 to 63,99 points

Assessment criteria, good (3-4) (course unit)

3: 64 to 75.99 points
4: 76 to 87.99 points

Assessment criteria, excellent (5) (course unit)

5: 88 to 100 points

Location and time

Online between September 22, 2025 at 8:00 AM and October 26, 2025 at 11:00 PM

Exam schedules

The online exam can be taken at a time of your choice between September 22, 2025 at 8:00 AM and October 26, 2025 at 11:00 PM.

Assessment methods and criteria

The student
• understands principles and methods of evidence-based knowledge and scientific research
• knows the differences between quantitative and qualitative research and approaches of the implementation
• knows the data collection and analysis methods of different research settings
• is able to evaluate the reliability and ethical principles of scientific research

Assessment scale

0-5

Learning materials

Study material for the online course and, in addition, the student will make use of the literature below:

• Haaparanta, L. & Niiniluoto, I. (2016). Johdatus tieteelliseen ajatteluun. Helsinki: Gaudeamus.
• Heikkilä, T. (2014). Tilastollinen tutkimus. Helsinki: Edita.
• Korhonen, A., Jylhä, V., Korhonen, T. & Holopainen A. (2018). Näyttöön perustuva toiminta: Tarpeista tuloksiin. Helsinki : Skhole Oy
• Puusa, A. & Juuti, P. (2020). Laadullisen tutkimuksen näkökulmat ja menetelmät. Gaudeamus.
• Ronkainen, S., Pehkonen, L., Lindblom-Ylänen, S. & Paavilainen, E. (2020). Tutkimuksen voimasanat. Helsinki: Sanoma Pro Oy.
• Vilkka, H. (2020). Akateemisen lukemisen ja kirjoittamisen opas. PS-kustannus.

Student workload

5op= 5x27h = 135h

Completion alternatives

No optional possibility to complete the course

Further information

You are responsible for the functioning of your computer and software, but if you encounter any IT problems during your elective course, you can contact the IT Helpdesk. Exams are one-off and timed, and therefore cannot be retaken. Therefore, please practice your exam technique with the practice exam, which can be found under the Course Info tab.