Nursing Research and Development III
| Structure Type: | Study unit |
|---|---|
| Code: | SSHP2003 |
| Type: | Compulsory / Basic Studies |
| Curriculum: | SH 2015V / 2016 TH 2016 |
| Level: | Bachelor of Health Care |
| Year of Study: | 3 (2018 / 2018-2019) |
| Credits: | 2 cr |
| Responsible Teacher: | Elomaa, Virpi / Hakala, Paula |
| Language of Instruction: | Finnish |
Courses During the Academic Year 2018-2019
| Impl. | Group(s) | Study Time | Teacher(s) | Language | Classes | Enrolment |
|---|---|---|---|---|---|---|
| 20 | S-SH-3A | 2018-08-31 – 2018-12-21 | Anne Puska | Finnish | 22 h | 2018-08-20 – 2018-09-17 |
| 21 | S-SH-3B | 2018-08-31 – 2018-12-21 | Anne Puska | Finnish | 22 h | 2018-08-20 – 2018-09-17 |
| 22 | S-TH-3A | 2018-08-31 – 2018-12-21 | Anne Puska | Finnish | 22 h | 2018-08-20 – 2018-09-17 |
| 23 | S-SH-3CK, S-SH-3DK | 2019-01-07 – 2019-06-02 | Anne Puska, Eija Kalliokoski | Finnish | 2018-12-10 – 2019-01-14 | |
| S-SH-2CK, S-SH-3CK, S-SH-2DK, S-SH-3DK | P3 (2018-2019) | Paula Hakala | Finnish | 33 h |
Learning Outcomes
The student is able to apply the most common statistical data analysis methods
Student's Workload
Total work load of the course: 53 h
- of which scheduled studies: 26 h
- of which autonomous studies: 27 h
The assesment of student's own learning 1 h is included in contact lessons.
Prerequisites / Recommended Optional Courses
Prerequisites: Nursing Research and Development I
Contents
Statistical data analysis methods
Recommended or Required Reading and Other Learning Resources/Tools
Material pointed out by the teacher
Mode of Delivery / Planned Learning Activities and Teaching Methods
Lectures 24 h (including excercises), examination 2 h
Assessment Criteria
Grade 1: The student is able to
- name some of the methods for quantitative data analysis and apply some of them by using tutoring
Grade 3: The student is able to
- describe some of the methods for qualitative and quantitative data analysis and apply some of them
Grade 5: The student is able to
- describe the key methods for quantitative data analysis and apply them
Assessment Methods
Examinations 100%. Numeric grading 0-5.