Teaching Staff
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Language of Instruction |
Türkçe (Turkish) |
Type Of Course |
Compulsory |
Prerequisites |
No Pre-requisites |
Recommended Optional Programme Component |
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Course Objectives |
Data entry and data analysis via SPSS. |
Course Content |
Students will be informed about data analysis via SPSS. |
Learning Outcomes (LO) |
1. Students learn to produce and read data. |
Mode of Delivery |
Face to face |
Course Outline |
Week |
Topics |
1. Week |
Introduction and summary of the first semester |
2. Week |
Research Ethics |
3. Week |
Stages of the Scientific Research Process |
4. Week |
Scale Types and Variables |
5. Week |
Descriptives - Frequency and Mean |
6. Week |
Descriptives - Mod and Median |
7. Week |
Variation Analysis- t Test, ANOVA and MANOVA |
8. Week |
Correlation |
9. Week |
Regression |
10. Week |
Sample Questionaire Design |
11. Week |
Defining the Variables of Sample Questionaire in SPSS |
12. Week |
Collecting Data |
13. Week |
Data Entry and Obtaining Results in SPSS |
14. Week |
Discussioan and Conclusion Writing |
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Assessment |
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Percentage(%) |
Mid-term (%) |
40 |
Quizes (%) |
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Homeworks/Term papers (%) |
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Practice (%) |
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Labs (%) |
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Projects/Field Work (%) |
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Seminars/Workshops (%) |
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Final (%) |
60 |
Other (%) |
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Total(%) |
100 |
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Course Book (s) and/or References |
- Karatan, H., (2017), Sosyal Bilimler İçin Temel İstatistik, Ankara: Ant Yay.
- Bayram, N. (2017), Sosyal Bilimlerde SPSS ile Veri Analizi, Bursa: Ezgi Kitabevi. |
Work Placement(s) |
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The Relationship between Program Qualifications (PQ) and Course Learning Outcomes (LO) |
| PQ 1 | PQ 2 | PQ 3 | PQ 4 | PQ 5 | PQ 6 | PQ 7 | PQ 8 | PQ 9 | PQ 10 | PQ 11 | PQ 12 | PQ 13 | PQ 14 | PQ 15 | PQ 16 | PQ 17 | PQ 18 | LO 1 | | | | | | | 5 | 4 | | | | 5 | 5 | | 5 | | 5 | |
* Contribution Level : 1 Very low 2 Low 3 Medium 4 High 5 Very High |