| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Research Methods I | SSG501 | Turkish | Compulsory | 3 + 0 | 3.0 | 9.0 |
| Prerequisite Courses | |
| Course Level | Graduate |
| Mode of delivery | Expression |
| Course Coordinator | Dr. Öğr. Üyesi Abdulaziz SEZER |
| Instructor(s) | Dr. Öğr. Üyesi Abdulaziz SEZER (Güz) |
| Goals | To have knowledge of statistical research techniques and to be able to apply what has been learned |
| Course Content | Science and basic concepts (fact, knowledge, absolute truth, error, universal knowledge, etc.), basic information about the history of science, structure of scientific research, scientific methods and different views on these methods, problem, research model, population and sample, data collection and data collection methods (quantitative and qualitative data collection techniques), data recording, analysis, interpretation and reporting. |
| # | Öğrenme Kazanımı |
| 1 | Understands the fundamental concepts related to scientific research, learns the process and characteristics of scientific research. |
| 2 | Recognises statistical methods used in scientific studies in the field of business administration. |
| 3 | Applies and interprets basic statistical methods for conducting scientific research. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Theory, hypothesis, and other fundamental concepts in scientific research | Preparation, After Class Study |
| 2. Week | The scientific research process, its types and characteristics | Preparation, After Class Study |
| 3. Week | The concept of variables, measurement levels and scales | Preparation, After Class Study |
| 4. Week | Sampling theory and types | Preparation, After Class Study |
| 5. Week | Data collection and data measurement methods | Preparation, After Class Study |
| 6. Week | Survey application from cross-sectional data collection methods | Preparation, After Class Study |
| 7. Week | Data entry in SPSS, calculation of basic statistics, creation of frequency tables | Preparation, After Class Study |
| 8. Week | Midterm | |
| 9. Week | Reliability analysis, normality test | Preparation, After Class Study |
| 10. Week | Basic Components and Factor Analysis | Preparation, After Class Study |
| 11. Week | Hypothesis test analyses (One-tailed t-test, independent samples t-test, paired samples t-test) | Preparation, After Class Study |
| 12. Week | Hypothesis test analyses (One-way analysis of variance - ANOVA) | Preparation, After Class Study |
| 13. Week | Correlation analysis applications | Preparation, After Class Study |
| 14. Week | Regression analysis applications | Preparation, After Class Study |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | In-depth Knowledge in Insurance and Social Security | ||||||
| Program Requirements | DK1 | DK2 | DK3 |
|---|---|---|---|
| PY1 | 10 | 10 | 10 |
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
