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About the Programme Academic Staff Program Qualifications Lessons Matrix of Course & Program Qualifications Turkish Qualifications Framework (TQF) TQF & Program Qualifications
  1. Graduate School
  2. Department of Psychology
  3. Master of Arts (MA) in Psychology
  4. Master of Arts (MA) in General Psychology
  5. Course Structure Diagram with Credits
  6. Advanced Statistics
  7. Description
  • Description
  • Learning Outcomes
  • ECTS Credit Load
  • Course's Contribution to Program
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Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
GEP501 - Advanced Statistics I. SEMESTER 3 +0 6.0
Language of Instruction Türkçe
Course Type Required Courses
Course Instructor(s) DOÇ. DR. MURAT POLAT
Mode of Delivery Face to face
Place of Delivery
Used Educational Platforms
Prerequisites No prerequisites
Courses Recomended No components
Recommended Resources Rex B. Kline (2016). Principles and Practice of Structural Equation Modeling (4th ed.). The Guilford Press.
Work Placement None
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Introduction to Advanced Statistics
Week - 2 Data Screening and Preliminary Analyses
Week - 3 Reliability and Scale Analyses
Week - 4 Exploratory Factor Analysis (EFA)
Week - 5 Confirmatory Factor Analysis (CFA)
Week - 6 Multiple Regression Analysis
Week - 7 Mediation and Moderation Analyses
Week - 8 Multivariate Analysis of Variance (MANOVA)
Week - 9 Repeated Measures and Mixed Design Analyses
Week - 10 Multilevel Modeling
Week - 11 Introduction to Structural Equation Modeling (SEM)
Week - 12 Applications of Structural Equation Modeling
Week - 13 Advanced Structural Equation Modeling
Week - 14 Student Projects and Course Review

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
1.Midterm Exam 1 40
Final Exam 1 60
Toplam (%) 100

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