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, PROCESS and AMOS statistical programs are used for data analysis. Therefore, students will learn to use SPSS, PROCESS 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 Understanding the research process, measurement, data collection and survey design.
2. Week Sampling procedures.
3. Week Understanding formal statistical tests.
4. Week Parametric and non-parametric tests with SPSS.
5. Week Analysis of variance with SPSS
6. Week Measuring statistical relationship with SPSS.
7. Week Mediation testing by regression analysis using SPSS and PROSESS.
8. Week Midterm exam
9. Week Moderation test with regression analysis using SPSS and PROCESS.
10. Week Structural Equation Modeling with AMOS
11. Week Structural Equation Modeling with AMOS
12. Week Structural Equation Modeling with AMOS
13. Week Custom Indirect Impact Analysis with User Defined Forecasts in AMOS.
14. Week Custom Indirect Impact Analysis with User Defined Forecasts in AMOS.
*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.
Relations with Education Attainment Program Course Competencies
Program Requirements DK1 DK2 DK3
Recommended Sources
Ders Kitabı veya Notu Ders Kitabı veya Ders Notu bulunmamaktadır.
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 1 50 50
Homework 1 1 25 25
Homework 2 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