Akademik Dersler - Tanıtım

Last Updated: 07/10/2024

Code - Course Title	Compulsory/Elective	Laboratory + Practice	ECTS
RPD622 - Structural Equation Modeling	II. SEMESTER	3 +0	7.5

Language of Instruction	Türkçe
Course Type	Elective Courses
Course Instructor(s)	DOÇ. DR. MURAT DOĞAN ŞAHİN
Mode of Delivery	Face to face
Place of Delivery
Used Educational Platforms
Prerequisites	Students who will take this course are expected to have a good command of basic statistics. In addition, they are expected to have taken a research methodology/statistics course that includes at least multiple linear regression analysis and to have a good command of regression analysis.
Courses Recomended	SEM is a multivariate statistical method. Therefore, it is useful to take courses that address multivariate issues.
Recommended Resources	Kline, R. B. Principles and Practice of Structural Equation Modeling. Şen, S. Mplus İle Yapısal Eşitlik Modellemesi Uygulamaları
Work Placement	NA
Aims of the Course

Weeks	Learning Outcomes	Topics	Teaching Methods
Week - 1		Fundamentals of Structural Equation Modeling
Week - 2		Correlation and covariance matrices; expected and observed values
Week - 3		Fit indexes
Week - 4		Path analysis: Theory
Week - 5		Path analysis: Mplus applications
Week - 6		Measurement model and confirmatory factor analysis
Week - 7		Midterm
Week - 8		Structural regression: Theory and Mplus applications
Week - 9		Multiple group SEM: Theory and Mplus applications
Week - 10		Mediation Analysis
Week - 11		Moderation analysis
Week - 12		Latent Class Analysis
Week - 13		Latent transition analysis
Week - 14		Final exam

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Assessment Method and Passing Requirements
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