Information Package / Course Catalogue
Multivariate Analysis
Course Code: İŞLE604
Course Type: Area Elective
Couse Group: Third Cycle (Doctorate Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

The course prepares students to increase the knowledge issues and current applications of multivariate analysis includes topics.

Course Content

Issues related to the processing of Multivariate Analysis.

Name of Lecturer(s)
Assoc. Prof. Engin ÇAKIR
Learning Outcomes
1.Multi-variable analysis of the dominant issues.
2.Multi-variable analysis of the dominant practices of
3.Statistical adequacy issues
4.Implementation of multi-variable analysis, the SPSS program qualification
5.Will be able to estimate nonlinear models.
Recommended or Required Reading
1.Narayan C. Giri, Multivariate Statistical Analysis, Marcel Dekker, 2004.
2.Albayrak Ali Sait, Uygulamalı Çok Değişkenli İstatistik teknikleri, Asil yayın dağıtım Şti, Ankara-2006.
Weekly Detailed Course Contents
Week 1 - Theoretical
Multi-variable techniques and basic concepts
Week 2 - Theoretical
Multivariate statistical techniques, the assumptions
Week 3 - Theoretical
Principal component analysis
Week 4 - Theoretical
Factor analysis
Week 5 - Theoretical
Linear regression and correlation analysis
Week 6 - Theoretical
Biased estimation techniques
Week 7 - Theoretical
Nonlinear regression analysis
Week 8 - Theoretical
Nonlinear regression analysis
Week 9 - Theoretical
The two-group discriminant analysis
Week 10 - Theoretical
Multi-group discriminant analysis
Week 11 - Theoretical
Logistic regression analysis of the input
Week 12 - Theoretical
Logistic regression analysis showed the completion of the subject
Week 13 - Theoretical
Canonical regression analysis, the input
Week 14 - Theoretical
Canonical regression analysis completed
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%30
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142370
Midterm Examination125126
Final Examination130131
TOTAL WORKLOAD (hours)127
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
PÇ-8
PÇ-9
PÇ-10
OÇ-1
3
3
4
4
3
4
5
4
2
2
OÇ-2
4
4
4
3
4
4
4
2
2
1
OÇ-3
3
4
4
3
4
4
2
2
2
4
OÇ-4
4
4
2
2
2
3
2
4
2
2
OÇ-5
3
3
3
2
4
4
4
2
2
3
Adnan Menderes University - Information Package / Course Catalogue
2026