Research III
| Structure Type: | Study unit |
|---|---|
| Code: | SAPA0706 |
| Curriculum: | SA 2018 |
| Level: | Bachelor of Social Services |
| Year of Study: | 3 (2020-2021) |
| Semester: | Spring |
| Credits: | 2 cr |
| Responsible Teacher: | Saikkonen, Sanna |
| Language of Instruction: | Finnish |
Courses During the Academic Year 2020-2021
| Impl. | Group(s) | Study Time | Teacher(s) | Language | Enrolment |
|---|---|---|---|---|---|
| 3001 | SA2018-3A | 2020-08-24 – 2021-06-20 | Anne Puska | Finnish | 2020-08-17 – 2020-09-11 |
| 3002 | SA2018-3B | 2020-08-24 – 2021-06-20 | Anne Puska | Finnish | 2020-08-17 – 2020-09-11 |
Still need to take the course? See the courses during the academic year 2021-2022.
Learning Outcomes
The student knows how to
- justify the choice of quantitative/statistical research approach
- plan and carry out quantitative/statistical research
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
Research Activities I and II
Contents
- characteristics of quantitative research
- gathering quantitative data
- analysis of quantitative data by SPSS-program
- reporting and evaluation of reliability in quantitative research
Regional Impact
The student gets to know local research projects.
Internationality
The student uses international method literature and gets to know international research publications
Recommended or Required Reading and Other Learning Resources/Tools
Material pointed out by the lecturer
Mode of Delivery / Planned Learning Activities and Teaching Methods
Lectures, training SPSS software
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
Active attendance at the practices and assignment, numeric evaluation (0–5).