Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Advanced Research Methods in Social Sciences II TRZ602 Turkish Compulsory 3 + 0 3.0 10.0
Prerequisite Courses
Course Level Graduate
Mode of delivery Face to face
Course Coordinator Prof. Dr. Muammer MESCİ
Instructor(s) Prof. Dr. Muammer MESCİ (Bahar)
Goals Within the scope of this course, it is aimed to inform the student about research methods. It is aimed that the student will have the knowledge and ability to form research hypotheses by gaining the knowledge of how to choose the research topic, what can and cannot be the research topic. Depending on the data collection in the application process of the research, it is thought that the student will acquire the necessary distinctions and features about the distinction between qualitative and quantitative research and its application areas.
Course Content Science and basic concepts (fact, knowledge, absolute, true, false, universal knowledge, etc.), basic information about the history of science, the structure of scientific research, scientific methods and different views on these methods, problem, research model, universe and sample, data collection and data collection methods (quantitative and qualitative data collection techniques), data recording, analysis, interpretation and reporting.
Learning Outcomes
# Öğrenme Kazanımı
1 Defines science and its basic concepts (fact, knowledge, absolute, true, false, universal knowledge, etc.)
2 Defines the basic philosophies on which qualitative and quantitative methods are based and realizes the differences of these two methods.
3 Recognizes qualitative research designs. Recognizes the sample types in qualitative research and chooses a qualitative sample from the problem developed in his/her field.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week Basic concepts of scientific research: Giving definitions of science, scientific knowledge, phenomenon, concept, principle, law, hypothesis, theory. Giving what research is and how the research process takes place. Preparation, After Class Study, Presentation (Preparation)
2. Week A review of the origins and history of research methods. Emphasizing how research started and how research questions should be developed. Ensuring the development of domain-specific problems Preparation, After Class Study, Presentation (Preparation)
3. Week Introducing qualitative research designs and giving their differences. Preparation, After Class Study, Presentation (Preparation)
4. Week Learning the stages of a qualitative research process. Preparation, After Class Study, Presentation (Preparation)
5. Week Learning how to analyze data using the MAXQDA program during an interview conducted as part of qualitative research. Research, Interview, Fieldwork
6. Week The analysis process is continued with the MAXQDA program, reinforcing the learning process. Interview, Practice
7. Week Learning the data analysis process for SPSS and AMOS applications. Practice
8. Week Learning the data analysis process for SPSS and AMOS applications.2 Practice
9. Week Learning the data analysis process for SPSS and AMOS applications. Practice
10. Week Learning the data analysis process for Structural Equation Modeling software. Practice
11. Week Learning the data analysis process for Structural Equation Modeling software.2 Practice
12. Week Learning the data analysis process for Structural Equation Modeling software.3 Practice
13. Week Making a sample research presentation Preparation, After Class Study, Presentation (Preparation), Practice
14. Week Learning to analyze a sample scientific article from a critical perspective. Preparation, After Class Study, Other Activities
*Midterm and final exam dates are not specified in the 14-week course operation plan. Midterm and final exam dates are held on the dates specified in the academic calendar with the decision of the University Senate.
The Matrix for Course & Program Learning Outcomes
No Program Requirements Level of Contribution
1 2 3 4 5
1 Develops, deepens and reaches original results at the level of expertise with original thought and research, up-to-date and advanced knowledge in the field of tourism management.
2 Develop a new idea, method, design and / or application that brings innovation to the field of tourism management or apply a known idea, method, design and / or application to the field of tourism management in a different field.
3 Contributes to expanding the boundaries of knowledge in the field of tourism by publishing at least one scientific article in national and / or international refereed journals
4 Has advanced knowledge about general and field-specific research methods
5 Plans, conducts, evaluates and reports a research on a specific topic in his / her field by using scientific research methods.
6 Develop original ideas in order to contribute to the solution of social, scientific, cultural and ethical problems encountered in the field of tourism management
7 Develop the behaviors and competencies necessary for lifelong learning
8 Develop competitive strategies related to tourism management
9 Have detailed information about macro and micro scale tourism plans and policies
10 To be able to communicate verbally and in writing by using a foreign language at least at C1 level
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3
PY1 5 5 5
PY2 5 5 5
PY3 4 4 4
PY4 5 5 5
PY5 5 5 5
PY6 5 5 5
PY7 5 5 5
PY8 5 5 5
PY9 4 4 4
PY10 4 4 4
Recommended Sources
Ders Kitabı veya Notu
Diğer Kaynaklar
  • Yıldırım, A.; H. Şimşek (2006). Sosyal Bilimlerde Nitel Araştırma Yöntemleri. 5. Basım. Seçkin Yayıncılık: Ankara
ECTS credits and course workload
ECTS credits and course workload Quantity Duration (Hour) Total Workload (Hour)
Sınavlar
Midterm 1 50 50
Homework 1 25 25
Homework Preparation 1 25 25
Final 1 55 55
Practice 2 50 100
Total Workload 255
*AKTS = (Total Workload) / 25,5 ECTS Credit of the Course 10.0