Rapor Tarihi: 24.02.2026 08:57
| Course Title | Code | Language | Type | Semester | L+U Hour | Credits | ECTS |
|---|---|---|---|---|---|---|---|
| Research Methods II | ISL 504 | Turkish | Compulsory | 3 + 0 | 3.0 | 9.0 |
| Prerequisite Courses | |
| Course Level | Graduate |
| Mode of delivery | Turkish |
| Course Coordinator | Doç. Dr. İsmail DURAK |
| Instructor(s) | Doç. Dr. Faruk Kerem ŞENTÜRK (Bahar), Doç. Dr. İsmail DURAK (Güz) |
| Goals | The aim of this course is to enable graduate students to acquire advanced theoretical and practical skills related to the scientific research process. Within the scope of the course, students are expected to develop competencies in research model and hypothesis formulation, selecting appropriate statistical analysis methods, applying multivariate data analysis techniques, and interpreting research findings in accordance with scientific and ethical principles. The course aims to prepare students to independently conduct thesis, article, and conference paper studies at the graduate level. |
| Course Content | This course covers advanced quantitative analysis techniques used in scientific research and applied scientific research experience. The course content includes an introduction to the research process, research model and hypothesis development, multivariate statistical analyses (ANOVA, MANOVA, ANCOVA, regression analyses, canonical correlation, cluster and discriminant analysis), structural equation modeling, confirmatory factor analysis, path analysis, multidimensional scaling, and multiple correspondence analysis. In the second part of the course, students conduct applied scientific research activities including data analysis, reporting of findings, and preparation of conference papers or academic articles. |
| # | Öğrenme Kazanımı |
| 1 | Define a scientific research problem based on a theoretical framework and clearly state research objectives. |
| 2 | Develop research models and hypotheses consistent with variable types and research design. |
| 3 | Select appropriate advanced statistical analysis methods in line with research objectives and data structure. |
| 4 | Apply and interpret ANOVA, MANOVA, ANCOVA, regression, canonical correlation, cluster, and discriminant analyses. |
| 5 | Apply multivariate models such as structural equation modeling, confirmatory factor analysis, and path analysis. |
| 6 | SPSS ve AMOS yazılımlarını kullanarak veri analizi gerçekleştirebilir. |
| 7 | Critically evaluate statistical analyses employed in scientific articles. |
| 8 | Present research findings using tables and figures in accordance with academic reporting standards. |
| 9 | Prepare scientific outputs in the form of conference papers or academic articles. |
| 10 | Act in accordance with ethical principles of scientific research and publication. |
| Week | Topics/Applications | Method |
|---|---|---|
| 1. Week | Introduction to Advanced Methods in Scientific Research | Preparation, After Class Study |
| 2. Week | Two-Way Analysis of Variance (ANOVA), One-Way and Two-Way MANOVA, Analysis of Covariance (ANCOVA): Presentation + SPSS application + 3 sample article critiques | Presentation (Preparation), Practice, Other Activities |
| 3. Week | Correlation & Canonical Correlation, Simple & Multiple Regression, and Logistic Regression: Presentation + SPSS application + 3 sample article critiques | Presentation (Preparation), Practice, Other Activities |
| 4. Week | Cluster Analysis and Diskriminant Analysis: Presentation + SPSS application + 3 sample article critiques | Presentation (Preparation), Practice, Other Activities |
| 5. Week | Oral Exam (Research Techniques I - Stages of the Scientific Research Process) | Presentation (Preparation), Practice, Other Activities |
| 6. Week | Introduction to Structural Equation Modeling (SEM) and the AMOS Program: Presentation + SPSS application + 3 sample article critiques | Presentation (Preparation), Practice, Other Activities |
| 7. Week | Confirmatory Factor Analysis, Scale Development & Adaptation: Presentation + SPSS application + 3 sample article critiques | Presentation (Preparation), Practice, Other Activities |
| 8. Week | Path Analysis: Mediation and Regulatory Models: Presentation + SPSS application + 3 sample article critiques | Presentation (Preparation), Practice, Other Activities |
| 8. Week | Multidimensional Scaling and Multiple Correspondence Analysis: Presentation + SPSS application + 3 sample article critiques | Presentation (Preparation), Practice, Other Activities |
| 9. Week | Guidelines for Writing Research Reports and Publication Ethics | |
| 10. Week | Applied Scientific Research Experience I – Defining the research topic/problem – Formulating a research model and hypotheses | Research, Presentation (Preparation) |
| 11. Week | Applied Scientific Research Experience II – Population-Sample and Data Collection Tool Preparation, Data Collection Process | Research, Interview, Fieldwork |
| 12. Week | Applied Scientific Research Experience III – Quantitative data analysis applications – Reporting findings | Research, Practice |
| 13. Week | Applied Scientific Research Experience IV – Interpretation of Analysis Results – Preparation of Paper/Article Draft | Research, Presentation (Preparation) |
| 14. Week | Applied Scientific Research Experience V – Paper/article presentations – General evaluation | Research, Presentation (Preparation) |
| No | Program Requirements | Level of Contribution | |||||
|---|---|---|---|---|---|---|---|
| 1 | 2 | 3 | 4 | 5 | |||
| 1 | Understand the basic theoretical and practical knowledge in the field of science and business analyzes. | ✔ | |||||
| 2 | Acquired business in the field of theoretical and practical knowledge and skills in research, application and uses field analysis. | ✔ | |||||
| 3 | Entity's mission, vision and goals and objectives to develop and implement the most appropriate production techniques. | ✔ | |||||
| 4 | Identify the key issues in the field of business in a systematic way to collect data, analyze and develop solutions. | ✔ | |||||
| 7 | Scientific and professional context, awareness of ethical behavior and social responsibility will have. | ✔ | |||||
| 10 | Related to the field of acquired knowledge, skills and ideas in written and oral transfers concerned. | ✔ | |||||
| Program Requirements | DK1 | DK2 | DK3 | DK4 | DK5 | DK6 | DK7 | DK8 | DK9 | DK10 |
|---|---|---|---|---|---|---|---|---|---|---|
| PY1 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY2 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 | 3 |
| PY4 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |
| PY7 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 | 4 |
| PY10 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 | 5 |
| Ders Kitabı veya Notu | Ders Kitabı veya Ders Notu bulunmamaktadır. |
|---|---|
| Diğer Kaynaklar |
|
| ECTS credits and course workload | Quantity | Duration (Hour) | Total Workload (Hour) | |
|---|---|---|---|---|
|
Ders İçi |
Class Hours | 1 | 14 | 14 |
|
Ders Dışı |
Presentation (Preparation) | 1 | 6 | 6 |
| Fieldwork | 1 | 3 | 3 | |
| Practice | 1 | 3 | 3 | |
|
Sınavlar |
Midterm 1 | 1 | 15 | 15 |
| Homework 1 | 1 | 35 | 35 | |
| Practice | 1 | 50 | 50 | |
| Total Workload | 126 | |||
| *AKTS = (Total Workload) / 25,5 | ECTS Credit of the Course | 9.0 | ||
