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Nursing Research and Development III

Structure Type: Study unit
Code: SSHP2003
Type: Compulsory / Basic Studies
Curriculum: SH 2015 / 2015V / 2016
TH 2015 / 2016
Level: Bachelor of Health Care
Year of Study: 3 (2017-2018 / 2018 / 2018-2019)
Credits: 2 cr
Responsible Teacher: Elomaa, Virpi / Hakala, Paula
Language of Instruction: Finnish

Courses During the Year 2018

Impl.Group(s)Study TimeTeacher(s)LanguageClassesEnrolment
12S-SH-2VK2017-09-01 – 2018-04-20Paula HakalaFinnish 2017-08-21 – 2017-09-18
15S-TH-3A2017-11-27 – 2018-04-30Paula HakalaFinnish  
16S-SH-3CK, S-SH-3DK2018-01-08 – 2018-06-01Paula HakalaFinnish 2017-12-11 – 2018-01-15
17S-SH-3B2018-01-08 – 2018-06-01Paula HakalaFinnish 2017-12-11 – 2018-01-15
18S-SH-3C2018-01-08 – 2018-06-01Paula HakalaFinnish 2017-12-11 – 2018-01-15
19S-TH-3A2018-01-08 – 2018-06-01Paula HakalaFinnish 2017-12-11 – 2018-01-15
20S-SH-3A2018-08-31 – 2018-12-21Anne PuskaFinnish22 h2018-08-20 – 2018-09-17
21S-SH-3B2018-08-31 – 2018-12-21Anne PuskaFinnish22 h2018-08-20 – 2018-09-17
22S-TH-3A2018-08-31 – 2018-12-21Anne PuskaFinnish22 h2018-08-20 – 2018-09-17

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.


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