Information Package / Course Catalogue
Education Statistics-II
Course Code: EÖD554
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 3
Prt.: 0
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

To comprehend the types of multivariate statistical analysis, to choose the appropriate statistical methods for the given problems and to interpret the results.

Course Content

SPSS, JAMOVI, Assumptions, T-test and U-test, ANOVA and H-test, ANCOVA, MANOVA and MANCOVA, Logistic Regression, CHAID analysis, Clustering and Discriminant analysis, ROC analysis, Canonical correlation and Non-parametric tests

Name of Lecturer(s)
Assoc. Prof. Gökhan AKSU
Learning Outcomes
1.Introduction of statistics package programs
2.Understanding of multiple comparison tests
3.Comparison of mean differences
4.Examining the relationships between variables
5.Examining the effect of independent variables on the dependent variable
6.Determination of cut-off scores
7.Understanding of non-parametric analysis methods
Recommended or Required Reading
1.Güzeller Cem Oktay (Ed.) (2016). Herkes İçin Çok değişkenli İstatistik. Nobel.
2.Büyüköztürk Şener, Çokluk Ömay ve Köklü, Nilgün (2012). Sosyal Bilimler İçin İstatistik. Pegem Akademi.
3.Kalaycı Şeref (Ed.). (2017). SPSS uygulamalı çok değişkenli istatistik teknikleri.
4.Alpar Reha (2013). Uygulamalı Çok Değişkenli İstatistiksel Yöntemler.
5.Tabachnick Barbara G & Fidell Linda S (2020). Çok değişkenli İstatistiklerin Kullanımı (Çev.). Nobel.
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction of SPSS and JAMOVI programs
Week 2 - Theoretical
Descriptive Statistics
Week 3 - Theoretical
Assumptions and their control
Week 4 - Theoretical
T-test and U-test
Week 5 - Theoretical
ANOVA and H-test
Week 6 - Theoretical
Analysis of covariance (ANCOVA)
Week 7 - Theoretical
MANOVA and MANCOVA
Week 8 - Intermediate Exam
Mid-term exam
Week 9 - Theoretical
Logistic regression analysis
Week 10 - Theoretical
CHAID analysis
Week 11 - Theoretical
Clustering and Discriminant analysis
Week 12 - Theoretical
Chi-square and Fit Analysis
Week 13 - Theoretical
ROC analysis
Week 14 - Theoretical
Canonical correlation analysis
Week 15 - Theoretical
Canonical correlation analysis
Week 16 - Final Exam
Final exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%40
Final Examination1%60
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory142370
Assignment1617
Reading142028
Individual Work1606
Midterm Examination1617
Final Examination1617
TOTAL WORKLOAD (hours)125
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
5
5
5
5
4
4
4
4
3
3
OÇ-2
5
5
5
5
4
4
4
4
3
3
OÇ-3
5
5
5
5
4
4
4
4
3
3
OÇ-4
5
5
5
5
4
4
4
4
3
3
OÇ-5
5
5
5
5
4
4
4
4
3
3
OÇ-6
5
5
5
5
4
4
4
4
3
3
OÇ-7
5
5
5
5
4
4
4
4
3
3
Adnan Menderes University - Information Package / Course Catalogue
2026