| MBA (TURKISH, NONTHESIS, DISTANCE EDUCATION) | |||||
| Master | TR-NQF-HE: Level 7 | QF-EHEA: Second Cycle | EQF-LLL: Level 7 | ||
| Course Code | Course Name | Semester | Theoretical | Practical | Credit | ECTS |
| ISL5301 | Research Methods and Ethics | Fall | 3 | 0 | 3 | 9 |
| Language of instruction: | Turkish |
| Type of course: | Must Course |
| Course Level: | |
| Mode of Delivery: | Face to face |
| Course Coordinator : | Assist. Prof. SERKAN YEŞİLYURT |
| Course Lecturer(s): |
Prof. Dr. AHMET ERKUŞ |
| Recommended Optional Program Components: | none |
| Course Objectives: | The aim of this course is to give students the knowledge, skills, research-analysis and interpretation of scientific research methods in the philosophy of science-method -analysis. At lesson; science and social sciences, research process and literature scanning, conceptual framework of a research, research design, sample selection, measurement and processing, quantitative data analysis and reporting with packet programs will be processed |
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The students who have succeeded in this course; They must have general knowledge of European Values and Integration issuesLearn the scope and bases of scientific research. Learn scientific information access and data collection methods. Reads, understands and analyzes data in scientific texts. Learn how to prepare a research report It has knowledge in scientific ethics and can prevent unethical behaviors. |
| Scientific Research Methods, Scientific Research, Research Problems, Hypotheses and Aims, Scientific Information Access: Library, Digital Library, Databases, Scientific Data Collection and Measurement Methods, Data Analysis Methods and Presentation, Validity Concepts of Reliability, Research Proposal Writing -Production of "Summary" Proposal, Methods of Preparing / Reporting Research Report, Basic Rules and Examples in Article Writing, Directive of Scientific Research and Publication of Higher Education Council |
| Week | Subject | Related Preparation |
| 1) | "Introduction to the course" | Reading |
| 2) | Scientific Method, Scientific Writing and Ethics | Reading |
| 3) | Research Problems and Literature Scanning | Reading |
| 4) | The Conceptual Framework of the Research | Reading |
| 5) | Research Design: Research Patterns and Methods | Reading |
| 6) | Universe and Sampling | Reading |
| 7) | Operate Up | Reading |
| 8) | Data Collection Techniques | Reading |
| 9) | Introduction to IBM SPSS and Basic Statistics Measurements | Reading |
| 10) | Data Analysis I-Discrepancy Analyzes (t-test, ANOVA) | Reading |
| 11) | Data Analysis III - Hierarchical Regression and Reliability Analysis | Reading |
| 12) | Data Analysis II-Relational Analyzes (Correlation, Regression, Multiple Regression) | Reading |
| 13) | Data Analysis IV | Reading |
| 14) | General evaluation | Reading |
| 15) | Final Exam |
| Course Notes / Textbooks: | Şener Büyüköztürk , Özcan Aygün, Ebru Kılıç Çakmak, Şirin Karadeniz, “Bilimsel Araştırma Yöntemleri”, Pegem Yayıncılık, ISBN: 9944919289, 2014 |
| References: | Şener Büyüköztürk , Özcan Aygün, Ebru Kılıç Çakmak, Şirin Karadeniz, “Bilimsel Araştırma Yöntemleri”, Pegem Yayıncılık, ISBN: 9944919289, 2014 |
| Semester Requirements | Number of Activities | Level of Contribution |
| Midterms | 1 | % 50 |
| Final | 1 | % 50 |
| Total | % 100 | |
| PERCENTAGE OF SEMESTER WORK | % 50 | |
| PERCENTAGE OF FINAL WORK | % 50 | |
| Total | % 100 | |
| Activities | Number of Activities | Duration (Hours) | Workload |
| Course Hours | 14 | 3 | 42 |
| Study Hours Out of Class | 14 | 11 | 154 |
| Presentations / Seminar | 1 | 20 | 20 |
| Midterms | 1 | 2 | 2 |
| Final | 1 | 2 | 2 |
| Total Workload | 220 | ||
| No Effect | 1 Lowest | 2 Low | 3 Average | 4 High | 5 Highest |
| Program Outcomes | Level of Contribution | |
| 1) | Being able to develop and deepen their knowledge at the level of expertise in the same or a different field, based on undergraduate level qualifications. | 4 |
| 2) | To be able to use the theoretical and applied knowledge at the level of expertise acquired in the field. | 3 |
| 3) | To be able to develop new strategic approaches for the solution of complex and unpredictable problems encountered in applications related to the field and to produce solutions by taking responsibility. | 4 |
| 4) | To be able to interpret and create new knowledge by integrating the knowledge gained in the field with the knowledge from different disciplines, | 3 |
| 5) | To be able to systematically transfer current developments in the field and their own studies to groups in and outside the field, in written, verbal and visual forms, by supporting them with quantitative and qualitative data. | 5 |
| 6) | To be able to develop strategy, policy and implementation plans in the fields related to the field and to evaluate the obtained results within the framework of quality processes. | 4 |