Advanced Statistics In Education
Education Management
Institute of Social Sciences
Third Cycle (Doctorate Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Advanced Statistics In Education | EBY677 | Elective | Doctorate degree | 1 | Spring | 7 |
Name of Lecturer(s)
Prof. Dr. Aynur GEÇER
Prof. Dr. Şöheyda GÖKTÜRK
Learning Outcomes of the Course Unit
1) Identify when and how to perform appropriate statistical technique
2) Review and contribute to the literature relevant to his/her area of expertise
3) Apply SPSS and SEM software to implement multivariate techniques
4) Review and contribute to the literature relevant to his/her area of expertise
5) Distinguish between multivariate and univariate analysis
6) Review and contribute to the literature relevant to his/her area of expertise
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | 13 | ||
| Learning Outcomes | ||||||||||||||
| 1 | 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 | 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 | No relation | No relation | Middle | No relation | No relation | No relation | No relation | No relation | No relation | |
| 4 | 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 | 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 | 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
Not Required
Course Contents
Explatory Factor Analysis, Correlation and Regression Analysis, Multiple Regression Analysis, Introduction to Structural Equation Modelling(SEM), Intorduction to Structural Equation Modelling Software (AMOS, EQS), Intorduction to Structural Equation Modelling Software (AMOS, EQS), Confirmatory Factor Analysis, Path Analysis, Investigating interaction and mediation effect with SEM
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Contribution of Semester Studies to Course Grade |
50% |
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|---|---|---|---|---|---|---|---|---|---|---|---|---|
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Contribution of Final Examination to Course Grade |
50% |
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Total | 100% | |||||||||||
Language of Instruction
Turkish
Work Placement(s)
Not Required