Statistical Processing
| Structure Type: | Course |
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| Code: | KD07BMTI135 |
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| Type: | Elective |
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| Level: | Bachelor |
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| Credits: | 2.0 points |
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| Responsible Teacher: | Tuuri, Hannu |
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| Teacher Team: | Tuuri, Hannu |
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| Language of Instruction: | Finnish |
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Learning Outcomes
Students are able to define the different phases of quantitative research. They are able to input and handle data by using the SPSS statistical software. Students also understand the principles of statistical inferencing when interpreting the results.
Student's Workload
- lectures and guided practice 24 h
- independent work 30 h
Prerequisites / Recommended Optional Courses
Basics of statistics
Contents
- Quantitative research process
- SPSS for Windows
- Data entry and processing
- Presenting results using descriptive statistics, tables and graphs
- Examples of interdependencies between variables (correlations, cross-tabulation)
- interpreting results
- evaluation of the reliability of quantitative research
Recommended or Required Reading
- Heikkilä T. 2014. Tilastollinen tutkimus
- material provided by the teacher
Mode of Delivery / Planned Learning Activities and Teaching Methods
- lectures and guided practice
- independent study
Assessment Criteria
The course is assessed on a scale of 1 to 5.
Excellent (5)
Student is able to input data by using the SPSS statistical software and is excellently able to handle the data. He or she is able to present the statistical results from the data illustratively way and also know the basic methods to illustrate the dependence of two variables by testing statistically too. Student is able to adapt his or her skills to different cases by using SPSS software. Student also know how to interpret the results understand the principles of statistical inference.
Good (4-3)
Student is able to input data by using the SPSS statistical software and is quite well able to handle the data. He or she is able to present the statistical results from the data illustratively way and also know the basic methods to illustrate the dependence of two variables. Student also know how to interpret the results understand the principles of statistical inference and statistical testing.
Satisfactory (2-1)
Student is able to input data by using the SPSS statistical software and is satisfactory able to handle the data. He or she is able to present the statistical results from the data satisfactory way and also know the basic methods to illustrate the dependence of two variables. Student also know how to interpret the results understand the principles of statistical inference.
Assessment Methods
- assignment 50 %
- active participation in teaching and continuous assessment 50 %
Further Information
The course accrues 3 R&D credits.
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