Introduction To Structural Equation Models
Measurement and Evaluation in Education
Institute of Social Sciences
Second Cycle (Master's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Introduction To Structural Equation Models | EGD113 | Elective | Master's degree | 1 | Spring | 7 |
Name of Lecturer(s)
Associate Prof. Dr. Fatih KEZER
Learning Outcomes of the Course Unit
1) S/he can explain and interpret the relationships between variables.
2) S/he can explain and interpret the prediction between variables.
3) S/he can make a model estimation for variables.
4) S/he can define the structural and measurement models within the scope of different models.
5) S/he can test model fit.
6) S/he can evaluate the models.
7) S/he can make first order and second order confirmatory factor analysis.
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | 14 | 15 | 16 | 17 | 18 | 19 | 20 | 21 | 22 | ||
| Learning Outcomes | |||||||||||||||||||||||
| 1 | No relation | No relation | No relation | No relation | Low | Low | No relation | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 2 | No relation | No relation | No relation | No relation | Low | Low | No relation | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 3 | No relation | No relation | No relation | No relation | Low | Low | No relation | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 4 | No relation | No relation | No relation | No relation | Low | Low | No relation | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 5 | No relation | No relation | No relation | No relation | Low | Low | No relation | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 6 | No relation | No relation | No relation | No relation | Low | Low | No relation | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 7 | No relation | No relation | No relation | No relation | Low | Low | No relation | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Educaitonal Statistics 2
Course Contents
Correlation. Regression. The history of structural equation modeling. Basic concepts of structural equation modeling. Path analysis. Structural model. Measurement model. Estimation of structural equation models. Evaluation of model fit and fit criteria. First order and second level confirmatory factor analysis. Lisrel applications.
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
50% |
|---|---|
Contribution of Final Examination to Course Grade |
50% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required