Information Package / Course Catalogue
Advanced Statistics
Course Code: EPÖ608
Course Type: Required
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

This course aims to provide students with knowledge of univariate and multivariate statistical methods in the social sciences and to equip them with the skills to perform advanced statistical operations in at least one statistical program.

Course Content

Advanced data analysis techniques to be used in the research process (types of variance analysis and regression analysis), entering data into SPSS, analysis and interpretation.

Name of Lecturer(s)
Lec. Nurtaç ÜSTÜNDAĞ KOCAKUŞAK
Learning Outcomes
1.Explains concepts related to advanced statistical analysis in education.
2.Selects statistical methods appropriate for scientific research problems.
3.Applies multivariate statistical techniques correctly.
4.Interprets the results of statistical analyses.
5.Reports the results of statistical analyses in accordance with APA guidelines.
6.Evaluates different statistical methods in educational research.
Recommended or Required Reading
1.Tabachnick, B. G., & Fidell, L.S. (2020). Çok değişkenli istatistiklerin kullanımı (6. basımdan çeviri) (Çev. Ed. M. Baloğlu). Nobel.
2.Kalaycı, Ş. (2006). SPSS uygulamalı çok değişkenli istatistik teknikleri (Vol. 2). Asil Yayın Dağıtım.
3.Büyüköztürk, Ş. (2010). Sosyal bilimler için veri analizi el kitabı: İstatistik, araştırma deseni, SPSS uygulamaları ve yorum.
4.Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2010). Sosyal bilimler için çok değişkenli istatistik: SPSS ve LISREL uygulamaları. Pegem Akademi.
5.Albayrak, A. S. (2006). Uygulamalı çok değişkenli istatistik teknikleri. Asil Yayın Dağıtım.
6.Salkind, N. (2015). İstatistikten nefret edenler için istatistik (4. Baskı) (Çev. Ed. A. Çuhadaroğu). Pegem.
7.Baştürk, R. (2019). Bütün yönleriyle SPSS örnekli nonparametrik istatistiksel yöntemler (3. Baskı). Anı.
8.Aksu, G., Eser, M. T. ve Güzeller, C. O (2025). Açımlayıcı ve doğrulayıcı faktör analizi ile yapısal eşitlik uygulamaları (2. baskı). Pegem Akademi.
Weekly Detailed Course Contents
Week 1 - Theoretical
Basics of statistics and installing statistical software
Week 2 - Theoretical
Descriptive statistics
Week 3 - Theoretical
t-test and ANOVA
Week 4 - Theoretical
Multivariate analysis of variance (MANOVA)
Week 5 - Theoretical
Covariance analysis (ANCOVA)
Week 6 - Theoretical
Multivariate analysis of covariance (MANCOVA)
Week 7 - Theoretical
Basic and multiple linear regression analysis
Week 8 - Intermediate Exam
Multiple linear regression analysis (Midterm exam)
Week 9 - Theoretical
Hierarchical regression analysis
Week 10 - Theoretical
Logistic regression analysis
Week 11 - Theoretical
Confirmatory factor analysis
Week 12 - Theoretical
Mediator analysis
Week 13 - Theoretical
Path analysis
Week 14 - Theoretical
Structural equation modelling
Week 15 - Theoretical
Structural equation modelling and model comparison
Week 16 - Final Exam
Final exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%20
Final Examination1%30
Attending Lectures1%20
Term Assignment1%30
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140342
Assignment141014
Term Project1404
Reading142028
Midterm Examination115116
Final Examination115116
TOTAL WORKLOAD (hours)120
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
PÇ-11
OÇ-1
5
5
5
5
5
5
5
5
5
5
5
OÇ-2
5
5
5
5
5
4
4
4
4
4
4
OÇ-3
5
5
5
5
5
4
4
4
5
5
5
OÇ-4
4
4
4
4
4
4
4
4
4
4
4
OÇ-5
4
5
5
4
4
4
4
4
5
5
5
OÇ-6
Adnan Menderes University - Information Package / Course Catalogue
2026