Statistical Processing (2cr)
Code: KD07BMTI135-3
General information
- Enrollment
- 09.09.2015 - 15.02.2016
- Registration for the implementation has ended.
- Timing
- 02.02.2016 - 20.03.2016
- Implementation has ended.
- Number of ECTS credits allocated
- 2 cr
- Local portion
- 2 cr
- Mode of delivery
- Contact learning
- Teachers
- Hannu Tuuri
- Course
- KD07BMTI135
Evaluation scale
1-5
Objective
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.
Content
- 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
Materials
- Heikkilä T. 2014. Tilastollinen tutkimus
- material provided by the teacher
Teaching methods
- lectures and guided practice
- independent study
Student workload
- lectures and guided practice 24 h
- independent work 30 h
Assessment criteria, satisfactory (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 criteria, good (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.
Assessment criteria, 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.
Qualifications
Basics of statistics
Further information
The course accrues 3 R&D credits.