Course Information

Course Information
Course Title Code Language Type Semester L+U Hour Credits ECTS
Advanced Research Methods in Social Sciences I TRZ601 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 (Güz)
Goals The aim of the course is to explain the importance of scientific research and to demonstrate the application of advanced quantitative research techniques. This course basically aims to teach the empirical approach, the measurement process and the use of statistical techniques for data analysis.
Course Content The course includes data analysis methods such as parametric and non-parametric tests, experimental research with repeated and non-repetitive measures (ANOVA), correlation and regression analysis, exploratory factor analysis and confirmatory factor analysis, structural equation modeling. SPSS, AMOS statistical programs are used for data analysis. Therefore, students will learn to use SPSS and AMOS programs.
Learning Outcomes
# Öğrenme Kazanımı
1 Learning quantitative analysis techniques
2 Gaining the ability to determine the appropriate method for the research problem
3 Learning different perspectives on many theories, models and paradigms developed in the fields of business (organization and management, organizational behavior, marketing, finance, accounting, human resources, production technology, etc.) and social sciences. Gains the knowledge and skills of evaluating, interpreting and criticizing research and research.
Lesson Plan (Weekly Topics)
Week Topics/Applications Method
1. Week To learn the basic principles used in scientific research. Preparation, After Class Study, Presentation (Preparation)
2. Week To learn the purpose and process of scientific research. Preparation, After Class Study, Presentation (Preparation)
3. Week Literature review, learning how to determine research topics and hypotheses. Preparation, After Class Study, Presentation (Preparation)
4. Week Understanding sampling and sampling methods. Preparation, After Class Study, Presentation (Preparation)
5. Week Learning how data should be collected and organized. Preparation, After Class Study, Presentation (Preparation)
6. Week To learn about quantitative analysis in detail. Preparation, After Class Study, Presentation (Preparation)
7. Week Nicel analizlerde kullanılan temel istatiksel tekniklerin nasıl uygulandığını öğrenmek. Preparation, After Class Study, Presentation (Preparation)
8. Week To learn about qualitative analysis in detail. Preparation, After Class Study, Presentation (Preparation)
9. Week To learn how to apply the basic data analysis techniques used in qualitative analysis. Preparation, After Class Study, Presentation (Preparation)
10. Week Understanding the mixed methods research process.
11. Week To learn the data analyses used in the mixed methods research process. Preparation, After Class Study, Presentation (Preparation)
12. Week To gain knowledge about the points to consider when preparing a scientific research report. Preparation, After Class Study, Presentation (Preparation)
13. Week Learning the methods of citing and referencing sources in scientific studies. Preparation, After Class Study, Presentation (Preparation)
14. Week Bilimsel araştırmada etik sürecini öğrenmek. Preparation, After Class Study, Presentation (Preparation)
*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 4 4 4
PY2 5 5 5
PY3 5 5 5
PY4 4 4 4
PY5 5 5 5
PY6 5 5 5
PY7 4 4 4
PY8 4 4 4
PY9 4 4 4
PY10 4 4 4
Recommended Sources
Ders Kitabı veya Notu
Diğer Kaynaklar
  • Cox, D.R.ve Snell, E.J. (1989),Applied Statistics: Principles And Exaples, Chapman And Hall.
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