| Language of Instruction |
Türkçe |
| Course Type |
Elective Courses |
| Course Instructor(s) |
DOÇ. DR. MURAT DOĞAN ŞAHİN |
| Mode of Delivery |
Face to face |
| 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 Reading List |
Kline, R. B. Principles and Practice of Structural Equation Modeling. Şen, S. Mplus İle Yapısal Eşitlik Modellemesi Uygulamaları |
| Assessment methods and criteria |
A take-home exam will be given as part of the midterm and final exams. |
| Work Placement |
NA |
| Catalog Content |
Fundamentals of Structural Equation Modeling: Covariance and correlation matrix, Number of estimated parameters, Symbols; Model Data Fit: Comparison of expected and observed matrices, Commonly used fit indices, Interpretation of fit indices; Path Analysis: Theory and Mplus applications; Confirmatory Factor Analysis: Basic and advanced measurement models, Mplus applications; Structural Regression: Theory and Mplus applications; Mediation and Moderation Effects: Theory and Mplus applications; Latent Class Analysis: Theory and Mplus applications |
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