Basic Statistic (5 cr)

realization.id

17965

realization.code

YH00BP01-3002

realization.startDate

01.01.2020

realization.endDate

31.07.2020

realization.enrollmentStart

02.12.1919

realization.enrollmentEnd

28.02.2020

realization.currentStatus

PUBLISHED

Teaching language

fi

realization.name

Basic Statistic

Content

Data description with numbers, percentages, descriptives and graphs
· Normal Distribution
· Examining the connection between variables with cross-tabs, grouped descriptives, correlation coefficients and scatter plots.
· Parametric and non-parametric tests and their limitations
· IBM SPSS Statistics and MS Excel are used as software
· Interpretation of the results obtained from the software

Objective

The participants learn how to analyze different types of data with different statistical tools. They learn how to identify suitable statistical techniques for their purposes and data

Evaluation methods and criteria

0 - 5:
Data analysis for own data (online)
Written report and PowerPoint presentation of the results
Presentations á 5 minutes + questions & comments
Multiple choice –test (at the end of the meeting)

Completion alternatives

-

Evaluation scale

H-5

Student workload

The course contains four half-day group meetings and independent tasks online between the meetings.
Start up for the course 16.9. klo 13-14
Online tasks related to the 1st face-to-face group meeting
• Participants own research topic and goals for the course (discussion in Optima)
• Survey about the participants own know-how about statistical methods
• Pre-assignment: Making a good questionnaire
1st group meeting on 1.10. klo 8:30-12
• Feedback about the pre-assignments
• Preparation of the questionnaire – different kind of CASE examples
• Creating the questionnaire in Webropol
Online tasks related to the 2nd face-to-face group meeting
• Different scales of data and different analysis methods (task in Optima)
• Development of an analysis plan for given common data (group discussion on Optima)
• Written analysis plan for given case data
2nd group meeting on 22.10. klo 8:30-12
• Feedback on of sample analysis plans
• Getting to know different analysis method
• Datan transportation between the programmes: Webropol -> Excel -> SPSS
• Variable definitions in SPSS
• Descriptive methods in SPSS and Excel
Online tasks related to the 3rd face-to-face group meeting
• Survey on normal distribution and statistical tests.
• Interpretation of results – exercise
• The tasks involve a lot of independent studying of the source material
3rd group meeting on 14.11. klo 8:30-12
• Implementing the data analysis with IBM SPSS Statistics and MS Excel
• Descriptive analysis (if unfinished last time)
• Exploring the connection between variables with different methods
• Creating sum variables
• Parametric and non-parametric tests
• Interpretation of the results obtained from the software
Data analysis for own data (online)
Written report and PowerPoint presentation of the results
4th group meeting on 12.12. klo 8:30-12
• Presentations á 5 minutes + questions & comments
• Multiple choice –test (at the end of the meeting)
All the tasks include studies of related theory and examples. This way they prepare to the multiple choice –test at the same time. (Time is included in the time given for the tasks.)

Materials

Materials
• Heikkilä Tarja, Tilastollinen tutkimus, Edita Publishing Oy 2014
o Related www-materials http://www.tilastollinentutkimus.fi/index.html and http://www.tilastollinentutkimus.fi/1.TUTKIMUSTUKI/KvantitatiivinenTutkimus.pdf
• KvantiMOTV –material in web https://www.fsd.uta.fi/menetelmaopetus/intro.html
• Akin menetelmäblogi https://tilastoapu.wordpress.com/tilastoapu/
• Akin SPSS-opas http://myy.haaga-helia.fi/~taaak/k/spss24.pdf

International connections

Huom: Tämä opintojakso on tarkoitettu AMK:n Tohtorikiihdyttämössä oleville jatko-opiskelijoille ja jos paikkoja on, myös YAMK opiskelijoille.

Content scheduling

Course Content
The participants learn how to analyze different types of data with different statistical tools. They learn how to identify suitable statistical techniques for their purposes and data.
• Data description with numbers, percentages, descriptives and graphs
• Normal Distribution
• Examining the connection between variables with cross-tabs, grouped descriptives, correlation coefficients and scatter plots.
• Parametric and non-parametric tests and their limitations
• IBM SPSS Statistics and MS Excel are used as software
• Interpretation of the results obtained from the software

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Number of ECTS credits allocated

5

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5

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5

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5

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