Quantitative Research
Structure Type: | Course |
Code: | LTHA105 |
Type: | Elective |
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Level: | Bachelor |
Credits: | 3.0 points |
Responsible Teacher: | Tuuri, Hannu |
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Language of Instruction: | Finnish |
Course Implementations, Planned Year of Study and Semester
Curriculum   | Semester   | Credits   | Start of Semester   | End of Semester |
LITAKO-2015   |
3 spring   |
3.0   |
2018-01-01   |
2018-07-31   |
LITAKO-2016   |
3 spring   |
3.0   |
2019-01-01   |
2019-07-31   |
Learning Outcomes
Students are able to define the different phases of quantitative research and master the basic principles and methods of data acquisition. They are able to input and handle data by using the SPSS statistical software. Students are able to report the results appropriate way too. Additionally, they are able to interpret their own results, finished statistics and statistical researchs.
Student's Workload
Total work load of the course: 80 h
- of which scheduled studies: 36 h
- of which autonomous studies: 44 h
Prerequisites / Recommended Optional Courses
Introduction to research and development
Contents
- Phases of quantitative research process
- Sampling methods and experimental study
- Measurement and scale
- Making the questionnaire
- Presenting results using descriptive statistics, tables and graphs
- Examples of interdependencies between variables (correlations, cross-tabulation)
- Interpreting results and reporting resuls
- Quantitative data processing and analyzing by SPSS for Windows –program
Recommended or Required Reading
Tarja Heikkilä. 2014. Tilastollinen tutkimus. 9. revised edition
Mode of Delivery / Planned Learning Activities and Teaching Methods
- lectures
- guided practice (mostly with computer)
- independent study (practical work)
Assessment Criteria
The course is assessed on a scale of 1 to 5:
Excellent (5)
Good (4-3)
Satisfactory (2-1)
Assessment Methods
- Examination
- Practical work
Work Placement
None.
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