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| TBB6017 | Structural Equation Models | 4+4+0 | ECTS:7.5 | | Year / Semester | Spring Semester | | Level of Course | Third Cycle | | Status | Elective | | Department | DEPARTMENT of BIOSTATISTICS and MEDICAL INFORMATICS | | Prerequisites and co-requisites | None | | Mode of Delivery | Face to face | | Contact Hours | 14 weeks - 4 hours of lectures and 4 hours of practicals per week | | Lecturer | -- | | Co-Lecturer | | | Language of instruction | Turkish | | Professional practise ( internship ) | None | | | | The aim of the course: | | To teach basic information about structural equality models |
| Programme Outcomes | CTPO | TOA | | Upon successful completion of the course, the students will be able to : | | | | PO - 1 : | Know basic concepts of structural equality models | | | | PO - 2 : |
Defines structural equality models
| | | | PO - 3 : | Apply structural equality models | | | | PO - 4 : | Evaluates structural equality models
| | | | PO - 5 : | Yapısal eşitlik modellerini karşılaştırabilir ve ilgili istatistiksel yazılımları kullanır | | | | PO - 6 : | Compares structural equality models and uses relevant statistical software
| | | | CTPO : Contribution to programme outcomes, TOA :Type of assessment (1: written exam, 2: Oral exam, 3: Homework assignment, 4: Laboratory exercise/exam, 5: Seminar / presentation, 6: Term paper), PO : Learning Outcome | | |
| Basic structural equation modeling concepts, model definition procedures, path analysis and applications, repetitive and non-repetitive models, measurement models and
factor analysis, structural equality models in single and multiple groups, structural equalityassumptions of models and in these models predictions, hypothesis tests, models
investigation of compliance goodness and latent growth curve analysis
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| Course Syllabus | | Week | Subject | Related Notes / Files | | Week 1 | Introduction to Structural Equation Modeling (YEM)
| | | Week 2 | Basic YEM Techniques and Software | | | Week 3 | Path Analysis Correlation and causality, determination of path models, types of path models, identification principles, sample size, introduction to estimation methods, maximum likelihood estimation | | | Week 4 | Path Analysis Detailed analysis in a recursive model, evaluation of model compatibility, testing of hierarchical models, comparison of non-hierarchical models, equivalent models, power analysis
| | | Week 5 | Measurement models and factor analysis | | | Week 6 | Midterm
| | | Week 7 | Structural Equation Models in Single and Multiple Groups | | | Week 8 | Statistical assumptions about Structural Equation models
| | | Week 9 | Estimation in Structural Equation Models
| | | Week 10 | Evaluating and modifying structural equality models
| | | Week 11 | Non-recursive Structural Equation Models | | | Week 12 | Multi-stage Structural Equation Modeling
| | | Week 13 | Hidden Growth Curve Modeling
| | | Week 14 | Hidden Growth Curve Modeling
| | | Week 15 | General test preparation | | | Week 16 | Final Exam | | | |
| 1 | Rex B. KlinePrinciples and practice of structural equation modeling New York: Guilford Press1998 | | | 2 | David KaplanStructural Equation Modeling: Foundations and extensionsSage Publications2000 | | | |
| 1 | Randall E. Schumacker, Richard G. Lomax. A beginner's guide to structural equation modeling 2004 | | | |
| Method of Assessment | | Type of assessment | Week No | Date | Duration (hours) | Weight (%) | | Mid-term exam | 6 | | | 30 | | In-term studies (second mid-term exam) | 8 | | | 20 | | Homework/Assignment/Term-paper | 10 | | | 10 | | End-of-term exam | 16 | | | 40 | | |
| Student Work Load and its Distribution | | Type of work | Duration (hours pw) | No of weeks / Number of activity | Hours in total per term | | Yüz yüze eğitim | 3 | 14 | 42 | | Sınıf dışı çalışma | 6 | 14 | 84 | | Arasınav | 7 | 2 | 14 | | Ödev | 4 | 14 | 56 | | Kısa sınav | 14 | 1 | 14 | | Total work load | | | 210 |
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