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  6. Advanced Quantitative Research Methods
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Last Updated: 30/09/2026

Code - Course Title Course Type Laboratory + Practice ECTS
ARY616 - Advanced Quantitative Research Methods II. SEMESTER 4 +0 7.5
Language of Instruction Türkçe
Course Type Required Courses
Course Instructor(s) DOÇ. DR. MUHAMMET BAHADIR AYAS
Mode of Delivery This course is offered through lecture and in-class discussions.
Place of Delivery
Used Educational Platforms
Prerequisites Basic courses on research and statistics should be completed beforehand.
Courses Recomended
Recommended Resources Field, A. (2009). Discovering statistics using SPSS (3rd edition). London: Sage.Huck, S.W. (2012). Reading statistics and research (6th edition). Boston: Pearson.Pallant, J. (2007). SPSS survival manual (3rd edition). Maidenhead: McGraw Hill Education.
Work Placement N/A
Aims of the Course

Weeks Learning Outcomes Topics Teaching Methods
Week - 1 Introduction
Week - 2 Basic Concepts: Effect vs. Prediction, Dependent-Independent-Moderator-Mediator Variables, Within and Between Group Variables
Week - 3 Data Characteristics and Variable Types: Data Types, Examining Data, Normal Distribution, Skewness-Kurtosis, Outliers and Missing Values, Data Transformation
Week - 4 Measurement in Quantitative Research: Measurement Tools, Measurement Validity and Reliability
Week - 5 Statistical Tests and Significance: Description of Statistical Significance
Week - 6 Bivariate Statistical Techniques, Test Assumptions, Parametric and Non-Parametric Tests
Week - 7 Multivariate Statistical Tests: Advanced Analyses of Variance
Week - 8 Multivariate Statistical Tests: Simple and Multiple Regression
Week - 9 Exploratory Factor Analysis
Week - 10 Structural Equation Modeling
Week - 11 Confirmatory Factor Analysis
Week - 12 Path Analysis, Evaluation of Model Fit
Week - 13 Path Analysis, Evaluation of Model Fit
Week - 14 Evaluation and review

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Assessment Method and Passing Requirements
Quamtity Percentage (%)
Toplam (%)

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