Statistical research methods
| Structure Type: | Study unit |
|---|---|
| Code: | SSYS1405 |
| Type: | Compulsory / Professional Studies |
| Curriculum: | SSY 2015 / 2016 / 2017 / 2018 / 2019 / 2020 / 2021 / 2022 / 2023 / 2024 |
| Level: | Master of Health Care / Master of Social Services |
| Year of Study: | 1 (2015-2016 / 2016-2017 / 2017-2018 / 2018-2019 / 2019-2020 / 2020-2021 / 2021-2022 / 2022-2023 / 2023-2024 / 2024-2025) |
| Credits: | 3 cr |
| Responsible Teacher: | Häyry, Riitta |
| Language of Instruction: | Finnish |
Courses
| Impl. | Group(s) | Study Time | Teacher(s) | Language | Enrolment |
|---|---|---|---|---|---|
| 1 | S-SY-1Y | 2016-01-04 – 2016-06-04 | Paula Hakala | Finnish | 2015-12-07 – 2016-02-10 |
| 2 | S-SY-1Y | 2017-01-09 – 2017-06-02 | Paula Hakala | Finnish | 2016-12-12 – 2017-01-16 |
| 3 | S-SY-1Y | 2018-01-08 – 2018-06-01 | Ulla Isosaari | Finnish | 2017-12-11 – 2018-01-11 |
| 4 | S-SY-1Y | 2019-01-07 – 2019-06-02 | Ulla Isosaari | Finnish | 2018-12-10 – 2019-01-14 |
| 5 | S-SY-1Y | 2020-01-07 – 2020-05-24 | Ulla Isosaari | Finnish | 2019-12-16 – 2020-01-14 |
| 3001 | SSY2020-1Y | 2021-01-04 – 2021-06-06 | Ulla Isosaari | Finnish | 2020-08-17 – 2021-01-10 |
| 3002 | SSY2021-1Y | 2022-01-01 – 2023-07-31 | Anne Puska, Miro Koskenranta, Pirita Setälä, Piia Uusi-Kakkuri, Virpi Välimaa | Finnish | 2021-12-01 – 2022-01-10 |
| 3003 | SSY2022-1Y | 2023-01-01 – 2023-07-31 | Piia Uusi-Kakkuri | Finnish | 2022-12-01 – 2023-01-10 |
| 3004 | S-SY-23S, SSY2023-1Y | 2024-01-01 – 2024-05-31 | Miro Koskenranta | Finnish | 2023-12-01 – 2024-01-12 |
| 3005 | SSY2024-1Y | 2025-01-01 – 2025-05-31 | Miro Koskenranta | Finnish | 2024-12-01 – 2025-01-13 |
The descriptions shown below are for the academic year: 2024-2025
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 81 h, of which scheduled studies 21 h and autonomous studies 60 h.
The assesment of student's own learning 1 h is included in contact lessons.
Contents
- quantitative research
- 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 activities and can use his/her own skills in quantitative methods for his/her own work unit.
Internationality
The student gets to know international research literature and research projects
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
Level 1: The student
- describes some attributes of a quantitative study
- describes an example of how data collection in a quantitative study could be conducted, draws up a measure and matrix for the statistical software
- describes an example of how data analysis in a quantitative study could be conducted and makes a modest analysis of pre-collected data
- describes an example of how the results of a quantitative study could be reported and how trustworthiness of a quantitative study could be evaluated and reports basic information from pre-collected data
Level 3: The student
- describes the central attributes of a quantitative study and applies this knowledge in a known context
- describes the methods of data collection in a quantitative study and draws up a justified measure and matrix for the statistical software
- - describes the methods of data analysis in a quantitative study and makes an analysis of pre-collected data
- - describes the methods of reporting of a quantitative study and evaluation of trustworthiness of a quantitative study and reports from pre-collected data
Level 5: The student
- examines analytically the central attributes of a quantitative study in relation to the approach within philosophy of science
- describes the data collection methods in quantitative studies and applies this knowledge in a new context with proper justifications
- describes the data analysis methods in quantitative studies and applies this knowledge in a new context with proper justifications
- describes the methods of reporting and evaluating trustworthiness in quantitative studies and applies this knowledge in a new context with proper justifications
Assessment Methods
Active attendance at the practices and assignment, numeric evaluation (0–5).