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Statistical research methods

Structure Type: Study unit
Code: SSYS1405
Curriculum: SSY 2024
Level: Master of Health Care / Master of Social Services
Year of Study: 1 (2024-2025)
Semester: Spring
Credits: 3 cr
Responsible Teacher: Häyry, Riitta
Language of Instruction: Finnish

Courses During the Academic Year 2024-2025

Impl.Group(s)Study TimeTeacher(s)Language
3005SSY2024-1Y2025-01-01 – 2025-05-31Miro KoskenrantaFinnish

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).


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