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Nursing Research and Development III

Structure Type: Study unit
Code: SSHP2003
Type: Compulsory / Basic Studies
Curriculum: S-SH 2013H / 2013T / 2013VK
SH 2014 / 2015 / 2015V / 2016 / 2017 / 2017V / 2018
TH 2014 / 2015 / 2016 / 2017
Level: Bachelor of Nursing / Bachelor of Public Health / Bachelor of Nursing / Bachelor of Public Health / Bachelor of Public Health
Year of Study: 3 (2015-2016 / 2016 / 2016-2017 / 2017-2018 / 2018 / 2018-2019 / 2019-2020 / 2020 / 2020-2021)
Credits: 2 cr
Responsible Teacher: Hakala, Paula
Language of Instruction: Finnish

Courses

Impl.Group(s)Study TimeTeacher(s)LanguageEnrolment
1S-SH-2CK2015-10-26 – 2016-02-27Paula HakalaFinnish2015-08-21 – 2015-10-30
2S-SH-3B2015-08-21 – 2015-10-24Paula HakalaFinnish2015-08-21 – 2015-09-13
3S-SH-3A2016-01-04 – 2016-06-04Paula HakalaFinnish2015-12-07 – 2016-02-10
4S-TH-3A, S-TH-3B2016-02-22 – 2016-06-04Paula HakalaFinnish2015-12-07 – 2016-03-11
5S-SH-3VK2016-01-04 – 2016-06-04Anne PuskaFinnish2015-12-07 – 2016-02-10
6S-TH-3A, S-TH-3B2016-08-29 – 2016-12-23Paula HakalaFinnish2016-08-22 – 2016-09-19
7S-SH-3B2016-08-29 – 2016-12-16Paula HakalaFinnish2016-08-22 – 2016-09-19
8S-SH-2DK2016-08-29 – 2017-03-04Paula HakalaFinnish2016-08-22 – 2016-11-28
9S-SH-3CK2017-01-09 – 2017-03-03Paula HakalaFinnish2016-12-12 – 2017-01-16
10S-SH-3A2017-01-09 – 2017-06-02Paula HakalaFinnish2016-12-12 – 2017-01-16
12S-SH-2VK2017-09-01 – 2018-04-20Paula HakalaFinnish2017-08-21 – 2017-09-18
13S-SH-3A2017-09-01 – 2017-12-22Paula HakalaFinnish2017-08-21 – 2017-09-18
14S-SH-2CK, S-SH-2DK2017-11-13 – 2017-12-22Paula HakalaFinnish 
15S-TH-3A2017-11-27 – 2018-04-30Paula HakalaFinnish 
16S-SH-3CK, S-SH-3DK2018-01-08 – 2018-06-01Paula HakalaFinnish2017-12-11 – 2018-01-15
17S-SH-3B2018-01-08 – 2018-06-01Paula HakalaFinnish2017-12-11 – 2018-01-15
18S-SH-3C2018-01-08 – 2018-06-01Paula HakalaFinnish2017-12-11 – 2018-01-15
19S-TH-3A2018-01-08 – 2018-06-01Paula HakalaFinnish2017-12-11 – 2018-01-15
20S-SH-3A2018-08-31 – 2018-12-21Anne PuskaFinnish2018-08-20 – 2018-09-17
21S-SH-3B2018-08-31 – 2018-12-21Anne PuskaFinnish2018-08-20 – 2018-09-17
22S-TH-3A2018-08-31 – 2018-12-21Anne PuskaFinnish2018-08-20 – 2018-09-17
23S-SH-3CK, S-SH-3DK2019-01-07 – 2019-06-02Anne Puska, Eija KalliokoskiFinnish2018-12-10 – 2019-01-14
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
3001SH2018-3A2020-08-24 – 2020-12-20Anne PuskaFinnish2020-08-17 – 2020-09-11
3002SH2018-3B2020-08-24 – 2020-12-20Anne PuskaFinnish2020-08-17 – 2020-09-11
3003SH2018-23CK2021-01-04 – 2021-06-20Virpi VälimaaFinnish2020-08-17 – 2021-01-10
3004SH2018-23DK2021-01-04 – 2021-06-20Virpi VälimaaFinnish2020-08-17 – 2021-01-10

The descriptions shown below are for 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.


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