Information Package / Course Catalogue
| Course Code | : TUR539 |
| Course Type | : Area Elective |
| Couse Group | : Second Cycle (Master's Degree) |
| Education Language | : Turkish |
| Work Placement | : N/A |
| Theory | : 3 |
| Prt. | : 0 |
| Credit | : 3 |
| Lab | : 0 |
| ECTS | : 5 |
The aim of this course is to enable students to systematically analyze qualitative research data, apply different qualitative data analysis techniques, and conduct scientific research using MAXQDA software.
This course aims to provide theoretical and practical knowledge for the systematic analysis of qualitative research data. The course covers the philosophical foundations of qualitative research, data types, validity and reliability criteria, and ethical principles; and examines common qualitative data analysis techniques such as content analysis, thematic analysis, descriptive analysis, document analysis, discourse analysis, narrative analysis, and phenomenological analysis. Furthermore, analysis processes are evaluated through examples of qualitative research conducted in the fields of tourism, gastronomy, and hospitality. The practical section of the course focuses on the use of computer-aided qualitative data analysis software, where data transfer, coding, theme development, relationship analysis, visualization, and reporting processes are carried out practically. Thus, students develop the ability to analyze and interpret qualitative research data in accordance with scientific methods and to report research results in accordance with academic standards.
| 1. | It can explain the qualitative research paradigm and its basic approaches. |
| 2. | They can plan qualitative data collection and analysis processes. |
| 3. | It can apply content analysis, thematic analysis, document analysis, and descriptive analysis. |
| 4. | It can utilize the fundamental principles of advanced qualitative data analysis techniques. |
| 5. | It can evaluate validity and reliability in qualitative research. |
| 6. | They can perform data management and coding in qualitative data analysis software. |
| 7. | You can develop themes and use visualization tools with qualitative data analysis software. |
| 8. | It can present qualitative research findings in an academic report format. |
| 1. | Creswell, J. W. & Poth, C. N. (2018). Qualitative Inquiry and Research Design: Choosing Among Five Approaches (4th Edition). SAGE Publications. |
| 2. | Merriam, S. B. & Tisdell, E. J. (2016). Qualitative Research: A Guide to Design and Implementation (4th Edition). Jossey-Bass. Miles, M. B., Huberman, A. M. & Saldaña, J. (2020). Qualitative Data Analysis: A Methods Sourcebook (4th Edition). SAGE Publications. |
| Type of Assessment | Count | Percent |
|---|---|---|
| Report | 5 | %20 |
| Project | 2 | %20 |
| Midterm Examination | 1 | %20 |
| Final Examination | 1 | %40 |
| Activities | Count | Preparation | Time | Total Work Load (hours) |
|---|---|---|---|---|
| Lecture - Theory | 14 | 1 | 3 | 56 |
| Project | 2 | 10 | 2 | 24 |
| Report | 5 | 3 | 2 | 25 |
| Midterm Examination | 1 | 8 | 1 | 9 |
| Final Examination | 1 | 10 | 1 | 11 |
| TOTAL WORKLOAD (hours) | 125 | |||
PÇ-1 | PÇ-2 | PÇ-3 | PÇ-4 | PÇ-5 | |
OÇ-1 | 2 | 4 | 4 | 5 | 4 |
OÇ-2 | 3 | 5 | 5 | 5 | 4 |
OÇ-3 | 3 | 5 | 5 | 5 | 4 |
OÇ-4 | 3 | 5 | 5 | 5 | 4 |
OÇ-5 | 3 | 5 | 5 | 5 | 5 |
OÇ-6 | 3 | 5 | 5 | 5 | 4 |
OÇ-7 | 3 | 5 | 5 | 5 | 5 |
OÇ-8 | 3 | 4 | 5 | 4 | 5 |