| Course Title | Code | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|
| Advanced Research Methods in Social Sciences I | TRZ601 | 3 + 0 | 3.0 | 10.0 |
| Prerequisites | None |
| Language of Instruction | Turkish |
| Course Level | Graduate |
| Course Type | |
| Mode of delivery | Face to face |
| Course Coordinator |
Prof. Dr. Muammer MESCİ |
| Instructors | |
| Assistants | |
| Goals | The aim of the course is to explain the importance of scientific research and to demonstrate the application of advanced quantitative research techniques. This course basically aims to teach the empirical approach, the measurement process and the use of statistical techniques for data analysis. |
| Course Content | The course includes data analysis methods such as parametric and non-parametric tests, experimental research with repeated and non-repetitive measures (ANOVA), correlation and regression analysis, exploratory factor analysis and confirmatory factor analysis, structural equation modeling. SPSS, PROCESS and AMOS statistical programs are used for data analysis. Therefore, students will learn to use SPSS, PROCESS and AMOS programs. |
| Learning Outcomes |
- Learning quantitative analysis techniques - Gaining the ability to determine the appropriate method for the research problem - Learning different perspectives on many theories, models and paradigms developed in the fields of business (organization and management, organizational behavior, marketing, finance, accounting, human resources, production technology, etc.) and social sciences. Gains the knowledge and skills of evaluating, interpreting and criticizing research and research. |
| Week | Topics | Learning Methods |
|---|---|---|
| 1. Week | Understanding the research process, measurement, data collection and survey design. | |
| 2. Week | Sampling procedures. | |
| 3. Week | Understanding formal statistical tests. | |
| 4. Week | Parametric and non-parametric tests with SPSS. | |
| 5. Week | Analysis of variance with SPSS | |
| 6. Week | Measuring statistical relationship with SPSS. | |
| 7. Week | Mediation testing by regression analysis using SPSS and PROSESS. | |
| 8. Week | Midterm exam | |
| 9. Week | Moderation test with regression analysis using SPSS and PROCESS. | |
| 10. Week | Structural Equation Modeling with AMOS | |
| 11. Week | Structural Equation Modeling with AMOS | |
| 12. Week | Structural Equation Modeling with AMOS | |
| 13. Week | Custom Indirect Impact Analysis with User Defined Forecasts in AMOS. | |
| 14. Week | Custom Indirect Impact Analysis with User Defined Forecasts in AMOS. |
| Cox, D.R.ve Snell, E.J. (1989),Applied Statistics: Principles And Exaples, Chapman And Hall. |
| Program Requirements | Contribution Level | DK1 | DK2 | DK3 | Measurement Method |
|---|
| 0 | 1 | 2 | 3 | 4 | 5 | |
|---|---|---|---|---|---|---|
| Course's Level of contribution | None | Very Low | Low | Fair | High | Very High |
| Method of assessment/evaluation | Written exam | Oral Exams | Assignment/Project | Laboratory work | Presentation/Seminar |
| Event | Quantity | Duration (Hour) | Total Workload (Hour) |
|---|---|---|---|
| Midterm 1 | 1 | 50 | 50 |
| Homework 1 | 1 | 25 | 25 |
| Homework 2 | 1 | 25 | 25 |
| Final | 1 | 55 | 55 |
| Practice | 2 | 50 | 100 |
| Total Workload | 255 | ||
| ECTS Credit of the Course | 10.0 | ||
