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Front Page > Current Education > Management and Development in Health Care and Social Services (S-SY) > 2016 > Year 1 > Statistical research methods (SSYS1405)

Statistical research methods

Structure Type: Study unit
Code: SSYS1405
Type: Compulsory / Professional Studies
Curriculum: S-SY 2016
Level: Master of Health Care / Master of Social Services
Year of Study: 1 (2016-2017)
Credits: 3 cr
Responsible Teacher: Hakala, Paula
Language of Instruction: Finnish

Courses During the Academic Year 2016-2017

Impl.Group(s)Study TimeTeacher(s)LanguageEnrolment
2S-SY-1Y2017-01-09 – 2017-06-02Paula HakalaFinnish2016-12-12 – 2017-01-16

Still need to take the course? See the courses during the academic year 2018-2019.

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

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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