Course Information


Course Information
Course Title Code Semester L+U Hour Credits ECTS
RESEARCH METHODS 93007001 3 + 0 3.0 8.0

Prerequisites None

Language of Instruction Turkish
Course Level Graduate Degree
Course Type Compulsory
Mode of delivery
Course Coordinator
Instructors Sevgi Eda TUZCU
Assistants
Goals The aim of this course is to provide required information regarding the research methods for academical studies. Diagnosis, hypothesis tests, data collection and analysis, evaluation of the results and reporting would be the main parts of the course.
Course Content Research methodology, determining the research question, establishing the hypothesis, data gathering, data analysis and evaluation, interpretation of the results and reporting etc.
Learning Outcomes 1) 1. He/she knows to use descriptive statistical approaches within research methods.
2) 2. He/she knows fundamental statistical analysis techniques for research methods which will be carried out for empirical studies.
3) Prepare a scientific research according to ethic rules.

Weekly Topics (Content)
Week Topics Teaching and Learning Methods and Techniques Study Materials
1. Week Fundamental Concepts for an Academic Research Study Lecture

 Homework Presentation (Including Preparation Time)
2. Week Determination of Research Problem Lecture

 Homework Presentation (Including Preparation Time)
3. Week Fundamentals of Statistical Approaches in Research Methods - 1 Lecture

 Homework Presentation (Including Preparation Time)
4. Week Fundamentals of Statistical Approaches in Research Methods - 2 Lecture

 Homework Presentation (Including Preparation Time)
5. Week Sampling Theory Lecture

 Homework Presentation (Including Preparation Time)
6. Week Probability Theory - 1 Lecture

 Homework Presentation (Including Preparation Time)
7. Week Probability Theory - 2 Lecture

 Homework Presentation (Including Preparation Time)
8. Week Midterm Exam Question Answer

 Presentation (Including Preparation Time)
9. Week Non-Parametric Hypotesis Analyses Lecture

 Homework Presentation (Including Preparation Time)
10. Week Parametric Hypotesis Analyses Lecture

 Homework Presentation (Including Preparation Time)
11. Week Structural Equation Modelling Lecture

 Homework Presentation (Including Preparation Time)
12. Week Experimental Research Lecture

 Homework Presentation (Including Preparation Time)
13. Week Correlation Analysis, Regression Analysis and Logistic Regression Analysis Lecture

 Homework Presentation (Including Preparation Time)
14. Week Research Ethics Lecture

 Homework Presentation (Including Preparation Time)

Sources Used in This Course
Recommended Sources
Sekaran, U., Bougie, R., 2013, Research Methods for Business: A Skill-Building Approach, 6th Edition, John Wiley & Sons, New York

ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Course Duration (Total weeks*Hours per week) 14 3
Work Hour outside Classroom (Preparation, strengthening) 14 3
Homework 2 36
Presentation (Including Preparation Time) 2 36
Midterm Exam 1 2
Total Workload
Total Workload / 30 (s)
ECTS Credit of the Course
Quick Access Hızlı Erişim Genişlet
Course Information
  • Course Information
  • Weekly Topics (Content)
  • Sources Used in This Course
  • ECTS credits and course workload