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Research III

Structure Type: Study unit
Code: SAPA0706
Curriculum: SA 2018 / 2018V
Level: Bachelor of Social Services
Year of Study: 3 (2020-2021 / 2021)
Semester: Spring / Autumn
Credits: 2 cr
Responsible Teacher: Häyry, Riitta
Language of Instruction: Finnish

Courses During the Year 2021

Impl.Group(s)Study TimeTeacher(s)LanguageEnrolment
3001SA2018-3A2020-08-24 – 2021-06-20Anne PuskaFinnish2020-08-17 – 2020-09-11
3002SA2018-3B2020-08-24 – 2021-06-20Anne PuskaFinnish2020-08-17 – 2020-09-11
3003SA2018V-34K2021-08-01 – 2021-12-31Anne PuskaFinnish2021-08-01 – 2021-09-06
3004SA2019-3A2021-10-30 – 2022-04-23Anne PuskaFinnish2021-08-01 – 2021-09-06
3005SA2019-3B2021-10-29 – 2022-04-22Anne PuskaFinnish2021-08-01 – 2021-09-06

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).


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