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Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
---|---|---|---|---|---|---|
Advanced Statistical Applications In Social Sciences | TDR102 | Elective | Doctorate degree | 1 | Spring | 7 |
Prof. Dr. Bilsen BİLGİLİ
1) Compare Quantitative and Qualitative Research Designs
2) Explain Qualitative research designs
3) Describe sampling in qualitative research
4) Develop research proposals relevant to their dissertation or other projects of interest
5) Eleştirel makale analizi ve araştırma önerilerinin tartışıldığı bir ortam sağlayarak öğrencilerin etkileşimli öğrenmelerini sağlar
Program Competencies | ||||||||
1 | 2 | 3 | 4 | 5 | 6 | 7 | ||
Learning Outcomes | ||||||||
1 | High | High | High | High | High | High | High | |
2 | High | High | High | High | High | High | Middle | |
3 | Middle | Middle | Low | Low | High | Middle | High | |
4 | High | High | High | Middle | Middle | Low | High | |
5 | High | High | High | High | High | High | High |
Face to Face
None
Not Required
advanced statistics applications . Introduction to Multivariate Analysis 2. Data Cleaning 3. Multiple Regression 4. Multiple Regression (continued) 5. Canonical Correlation 6. Multidirectional Frequency Analysis 7. Covariance Analysis 8. Multivariate Analysis of Variance 9. Multivariate Analysis of Variance (continued) 10. Key Components Analysis 11. Principal Component Analysis (continued) 12. Introduction to Structural Equation Models 13. Introduction to Structural Equation Models (continued) 14. General Evaluation
Turkish
Not Required