| Course Title | Code | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|
| Research Methods II | SSG503 | 3 + 0 | 3.0 | 9.0 |
| Prerequisites | None |
| Language of Instruction | Turkish |
| Course Level | Graduate |
| Course Type | |
| Mode of delivery | |
| Course Coordinator |
Assist. Prof. Dr. Okan BÜTÜNER |
| Instructors |
Abdulaziz SEZER |
| Assistants | |
| Goals | The student's learning and application of research processes and methods, especially on issues involving information technologies and those working in the field of information technology. |
| Course Content | |
| Learning Outcomes |
- - - To be able to use sampling methods - To be able to establish cause-effect relationships - Ability to use data analysis techniques - To be able to obtain and interpret basic statistical results - Being able to report research |
| Week | Topics | Learning Methods |
|---|---|---|
| 1. Week | Data collection, selection and planning of research techniques, determination and calculation of Central Tendency and Deviation Measures and Key Distribution Parameters and Descriptive Statistics | |
| 2. Week | Establishing Hypothesis and Testing Hypothesis | |
| 3. Week | Parametric tests with SPSS (single sample t test, independent sample t test, conjugate sample t test) | |
| 4. Week | Parametric tests with SPSS (ANOVA test, Correlation analysis) | |
| 5. Week | Non-parametric tests with SPSS (Chi-square test, Mann-Whitney U test) | |
| 6. Week | Nonparametric tests with SPSS (Wilcoxon test, Kruskal Wallis test, Friedman test) | |
| 7. Week | Single and multivariate Linear Regression analyzes with SPSS | |
| 8. Week | Linear Hierarchical Regression and Logistic Regression analyzes with SPSS | |
| 9. Week | Factor analysis and reliability calculation with SPSS | |
| 10. Week | Discriminant and Clustering analyzes with SPSS | |
| 11. Week | Establishment and analysis of Mediation and Moderation Models with SPSS | |
| 12. Week | Structural Equation Modeling | |
| 13. Week | Structural Equation Modeling | |
| 14. Week | Multi-level Data Analysis |
| Kalaycı, Şeref (Ed.), SPSS Uygulamalı Çok Değişkenli İstatistik teknikleri, Asil Yayınları, 2014. |
| Program Requirements | Contribution Level | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 | 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 | 10 | 10 |
| Midterm 2 | 1 | 10 | 10 |
| Homework 1 | 1 | 10 | 10 |
| Homework 2 | 1 | 20 | 20 |
| Final | 1 | 20 | 20 |
| Practice | 1 | 30 | 30 |
| Practice End-Of-Term | 1 | 35 | 35 |
| Classroom Activities | 14 | 3 | 42 |
| Total Workload | 177 | ||
| ECTS Credit of the Course | 9.0 | ||
