Research methods (10 cr)
Code: SHV16FU02-3007
General information
Enrollment
02.07.2020 - 30.09.2022
Timing
01.08.2020 - 31.12.2022
Number of ECTS credits allocated
10 op
Virtual portion
5 op
Mode of delivery
50 % Contact teaching, 50 % Distance learning
Unit
Faculty of Health and Welfare
Campus
Vasa, Wolffskavägen 31
Teaching languages
- Svenska
Degree programmes
- Degree Programme in Social Services and Health Care
Teachers
- Ann-Louise Glasberg
- Pia Liljeroth
- Ralf Lillbacka
- Susanne Jungerstam
- Camilla Strandell-Laine
- Emilia Kielo-Viljamaa
- Ulla Penttinen
- Maj-Helen Nyback
Teacher in charge
Camilla Strandell-Laine
Groups
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SHV20HD-VSocial- och hälsovård, h20, högre yh, deltidsstudier, Vasa
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SHV20HH-ÅSocial- och hälsovård, h20, högre yh, heltidsstudier, Åbo
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SHV20HH-VSocial- och hälsovård, h20, högre yh, heltidsstudier, Vasa
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SHV20HD-ÅSocial- och hälsovård, h20, högre yh, deltidsstudier, Åbo
Objective
The student:
Has advanced theoretical and practical knowledge in qualitative and quantitative research and development processes and methods
Has acquired a scientific and ethical approach in research and development activities
Can carry out a current work life-related development project
Content
Qualitative research methods
Quantitative research methods
Seminars
Location and time
.Part 1. Qualitative methods, made entirely virtual. The course is available at Moodle 3.9.32019-31.12.2020
Part 2. Quantitative methods - the text is updated
Quantitative methods/Vasa: see schedule
Part 3. Seminars, presentation of plan for thesis.
Materials
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Teaching methods
VAASA: The course is divided into three separate parts; qualitative methods, quantitative methods and seminars. Qualitative methods, 5 cu, take as digital course in autumn 2020, and quantitative methods 3 cu with lectures in spring 2021.
TURKU: The course is divided into two separate parts; qualitative methods and quantitative methods. Qualitative methods, 5 cu, as digital course in autumn 2020, and quantitative methods 5 cu with lectures in spring 2021.
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QUALITATIVE METHODS:
The qualitative part of the course is completely virtual and is available at Moodle.
The course at Moodle is divided into 5 modules.
Module 1 introduces the course and students make a diagnostic test.
Module 2 is about data collection methods
In modules 2 and 3, students will work in pairs or in groups of 3 people. It is optimal to have 3 people in the group
Module 3 is about data analysis methods
When the student starts the course, he / she enters the discussion forum in module two. The first one to enter starts a discussion thread, the following (1-2 students) answer it and thus form a group. The third or fourth who enters starts a new discussion and the following students answer it, etc. The same groups continue to work together in module 3. This means that one of the group members starts a discussion in module 3 and the other group members answer that thread.
In the group you choose each data collection method (in module 2) and the data analysis method (in module 3) in which you immerse yourself, do a small survey where you use the chosen method and present it to each other according to the instructions on Moodle. In addition, you give feedback to each other regarding the details according to the instructions on Moodle.
Module 4 is about reliability and ethics and is done as individual literature studies that are examined through the home exam which is submitted via Moodle.
Module 5, students choose a higher YH degree thesis within their own profiling in Theseus (https://www.theseus.fi/). NOTE the programs are slightly different in different UAS. Students read and assess the thesis according to instructions and documents found on moodle.
QUANTITATIVE METHODS/Turku
This part of the course will be realized during the spring semester 2021, and information on the quantitative part of the course will be published later.
QUANTITATIVE METHODS/Vaasa:
lectures, exercises in computer class, as well as a home exam or an individual written assignment related to the student's thesis
Employer connections
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Exam schedules
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International connections
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Completion alternatives
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Student workload
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Content scheduling
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Further information
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Evaluation scale
H-5
Assessment criteria, satisfactory (1)
Criteria for evaluation of the exam:
The student has a superficial knowledge of the subject (by heart reading)
Assessment criteria for assignment:
The student has followed the instructions and her/his knowledge of the other students' work is inadequate. The student shows limited substance knowledge, it can be essential
The student shows insufficient knowledge about the other students' assignments. The student has followed the instructions for the assignment. She/He have a deficient knowledge of the substance also touching the essential
Assessment criteria, good (3)
Criteria for evaluation of the exam:
The student can account for the literature, reflect and motivate his/her views
Assessment criteria for written assignment:
The student has followed the instructions for the written assignment and shows insufficient knowledge about the other students' written assignments. The student has mastered the substance of her/his work, but the application is limited
Assessment criteria, excellent (5)
Criteria for evaluation of the exam:
The student shows in her/his answer an in-depth knowledge and maturity beyond the traditional
Criteria for evaluation of assignment individually or in groups:
The student has followed the instructions for the assignment and shows that she/he has mastered the substance. She/he have read the other participants' assignments and can ask relevant questions and can lead a discussion at the seminar. The assignment and the possible opponentship show something out of the ordinary (technical execution, oral presentation, mature reflections, independent working methods)
The student has followed the instructions for the assignment and shows that she/he has mastered the substance. She/he have read the other participants' assignments and can ask relevant questions and lead a discussion at the seminar
Assessment methods and criteria
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Assessment criteria, fail (0)
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Assessment criteria, satisfactory (1-2)
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Assessment criteria, good (3-4)
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Assessment criteria, excellent (5)
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Qualifications
No prerequisites