VAMK

Change language: Suomi

Front Page > Current Education > Degree Programme in Public Health Nursing (TH) > 2017 > Year 3 > Nursing Research and Development III (SSHP2003)

Nursing Research and Development III

Structure Type: Study unit
Code: SSHP2003
Curriculum: TH 2017
Level: Bachelor of Public Health
Year of Study: 3 (2019-2020)
Semester: Spring
Credits: 2 cr
Responsible Teacher: Saikkonen, Sanna
Language of Instruction: Finnish

Courses During the Academic Year 2019-2020

Impl.Group(s)Study TimeTeacher(s)LanguageEnrolment
24S-SH-2CK, S-SH-2DK2020-01-06 – 2020-05-24Anne PuskaFinnish2019-12-16 – 2020-01-14
25S-SH-2DK2020-01-06 – 2020-05-24Anne PuskaFinnish2019-12-16 – 2020-01-14
26S-SH-3A2019-09-02 – 2019-12-22Anne PuskaFinnish2019-08-19 – 2019-09-09
27S-SH-3B2019-09-02 – 2019-12-22Anne PuskaFinnish2019-08-19 – 2019-09-09
28S-SH-2VK2020-01-06 – 2020-05-24Anne PuskaFinnish2019-12-16 – 2020-01-14
29S-TH-3A2019-09-02 – 2019-12-22Anne PuskaFinnish2019-08-19 – 2019-09-09

Still need to take the course? See the courses during the academic year 2020-2021.

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.


Back