Rapor Tarihi: 24.02.2026 07:20
| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Advanced Data Analysis Methods | PDR621 | Turkish | Compulsory | 3 + 0 | 3.0 | 6.0 |
| Prerequisite Courses | |
| Course Level | Graduate |
| Mode of delivery | Face to face |
| Course Coordinator | Doç. Dr. Ahmet SAPANCI |
| Instructor(s) | Doç. Dr. Ahmet SAPANCI (Bahar), Doç. Dr. Ahmet SAPANCI (Güz) |
| Goals | The Advanced Data Analysis course aims to provide doctoral-level students with a comprehensive understanding of complex statistical analysis methods and the ability to effectively apply these methods in scientific research. This course seeks to equip students with the theoretical knowledge and practical skills necessary to analyze, interpret, and report datasets, fostering their capacity to conduct high-quality analyses in interdisciplinary research. |
| Course Content | The course covers foundational concepts of statistics and research, including hypothesis testing, regression analyses, and variance analyses (ANOVA, ANCOVA, MANOVA), as well as non-parametric tests. It also focuses on advanced statistical techniques such as mediation, moderation analyses, and structural equation modeling. Additionally, the course emphasizes measurement methods, including validity, reliability, and factor analyses, to ensure that statistical methods are applied in accordance with scientific standards throughout the research process. |
| # | Öğrenme Kazanımı |
| 1 | Understands and applies advanced statistical analysis techniques. |
| 2 | Comprehends differences between statistical tests and models and applies appropriate analysis methods. |
| 3 | Understands the fundamental principles of validity, reliability, and factor analyses and applies them in analysis processes. |
| 4 | Grasps the logic of mediation and moderation analyses and applies them in complex models. |
| 5 | Understands and develops the ability to apply structural equation modeling and multivariate analysis techniques. |
| 6 | Understands and applies ethical principles in reporting research findings and analysis processes. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Basic Concepts of Statistics and Research, Hypothesis Testing | Interview, Presentation (Preparation) |
| 2. Week | Correlation Analysis, Simple Linear Regression, Multiple Regression | Preparation, After Class Study, Interview |
| 3. Week | Independent Samples T-Test, Mann-Whitney U Test, Paired Samples T-Test, Wilcoxon Test | Preparation, After Class Study, Other Activities, Interview |
| 4. Week | One-Way Analysis of Variance for Independent Samples and Post-Hoc Tests, Kruskal-Wallis H Test | Preparation, After Class Study, Other Activities, Interview |
| 5. Week | One-Way Repeated Measures Analysis of Variance, Friedman Test | Preparation, After Class Study, Other Activities, Interview |
| 6. Week | Mixed Design (Split-Plot) ANOVA (Two-Way ANOVA with Repeated Measures on One Factor) | Interview |
| 7. Week | Analysis of Covariance (ANCOVA) | Interview |
| 8. Week | Multivariate Analysis of Variance (MANOVA) | Preparation, After Class Study, Other Activities |
| 9. Week | Validity and Reliability Concepts and Analyses, Internal Consistency in Psychological Tests, Item-Total Correlation | Preparation, After Class Study, Other Activities |
| 10. Week | Confirmatory Factor Analysis | Preparation, After Class Study, Interview |
| 11. Week | Mediation Analyses | Preparation, After Class Study, Other Activities |
| 12. Week | Moderation Analyses | Preparation, After Class Study, Interview |
| 13. Week | Structural Equation Modeling | Preparation, After Class Study, Interview |
| 14. Week | Structural Equation Modeling | Preparation, After Class Study, Interview |
| 15. Week | General Review | Preparation, After Class Study, Other Activities |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 2 | To critically analyze and synthesize theoretical knowledge, beginning to form personal insights into human nature with an eclectic approach. | ✔ | |||||
| 3 | To possess in-depth and comprehensive knowledge in sub-specialties of counseling (e.g., family therapy, career counseling). | ✔ | |||||
| 5 | To design and conduct original, current, relevant, and functional research, report the results, and publish them in academic journals. | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 |
|---|---|---|---|---|---|---|
| PY2 | 2 | 3 | 1 | 4 | 4 | 4 |
| PY3 | 4 | 2 | 3 | 4 | 1 | 3 |
| PY5 | 3 | 3 | 4 | 1 | 2 | 2 |
| Ders Kitabı veya Notu | |
|---|---|
| Diğer Kaynaklar |
|
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 14 | 3 | 42 |
|
Ders Dışı |
Research | 1 | 7 | 7 |
| Other Activities | 1 | 32 | 32 | |
|
Sınavlar |
Midterm 1 | 1 | 3 | 3 |
| Homework 1 | 1 | 33 | 33 | |
| Final | 1 | 4 | 4 | |
| Classroom Activities | 1 | 32 | 32 | |
| Total Workload | 153 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 6.0 | ||
