Information Package / Course Catalogue
Applied Educational Statistics
Course Code: EPÖ503
Course Type: Area Elective
Couse Group: Second Cycle (Master's Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 2
Prt.: 2
Credit: 3
Lab: 0
ECTS: 5
Objectives of the Course

At the end of this course, students are expected to have a solid understanding of statistical concepts in education and be able to apply statistical operations practically using a statistical program.

Course Content

The course covers fundamental statistical concepts and the application of parametric and nonparametric statistical techniques commonly used in the social sciences. It also provides practical instruction on implementing these techniques in a computer-based environment.

Name of Lecturer(s)
Lec. Nurtaç ÜSTÜNDAĞ KOCAKUŞAK
Learning Outcomes
1.To be able to choose the right statistics tecniques for research problems
2.To be able to use the statistic tecnique properly
3.To be able to use SPSS package programs
4.To be able to interpret the analysis tables
5.To be able to evaluate the statistics in different studies
6.To be enthusiastic to apply different statistics techniques on data
Recommended or Required Reading
1.Büyüköztürk, Ş. (2012). Sosyal bilimler için veri analizi el kitabı. Ankara: PegemA Yayınları.
2.Williams, F. (1992). Reasoning with Statistics.Fort Worth: harcourt Brace Javanovich College Publishers.
3.Büyüköztürk, Ş. (2013). Sosyal Bilimler için İstatistik. Ankara: PegemA Yayınları.
4.Kalaycı, Ş. (2006). SPSS uygulamalı çok değişkenli istatistik teknikleri (Vol. 2). Asil Yayın Dağıtım.
5.Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2010). Sosyal bilimler için çok değişkenli istatistik: SPSS ve LISREL uygulamaları. Pegem Akademi.
6.Alpar, R. (2006). Spor bilimlerinde uygulamalı istatistik. Nobel.
7.Tabachnick, B. G., Fidell, L. S. (2001). Using multivariate statistics. Pearson Education
8.Whittaker, J. (2009). Graphical models in applied multivariate statistics. Wiley Publishing.
9.Grimm, L. G., & Yarnold, P. R. (1995). Reading and understanding multivariate statistics. American Psychological Association.
10.Alpar, R. (2003). Uygulamalı çok değişkenli istatistiksel yöntemlere giriş 1. Nobel Yayın Dağıtım.
11.Alpar, R. (2010). Spor, sağlık ve eğitim bilimlerinden örneklerle uygulamalı istatistik ve geçerlik-güvenirlik. Detay Yayıncılık.
12.Büyüköztürk, Ş. (2001). Deneysel desenler: Öntest sontest kontrol gruplu desen ve veri analizi. Pegem Yayınları, Ankara.
Weekly Detailed Course Contents
Week 1 - Theoretical
Basic concepts of statistics and installation of statistical package program
Week 2 - Theoretical
Introduction of statistics program and data entry
Week 2 - Preparation Work
Examination of the menus of the statistical package program
Week 3 - Practice
Calculating descriptive statistics and graphs in statistics program
Week 3 - Preparation Work
Reading about measures of central tendency and central dispersion
Week 4 - Theoretical
The importance of data transformation and data control for analyses
Week 4 - Practice
Data transformation and data control in statistics program
Week 5 - Theoretical
Assumptions and interpretation of normal distribution graphs
Week 5 - Practice
Examination of assumptions and normal distribution in statistical program
Week 6 - Theoretical
t-test and Mann-Whitney U test
Week 6 - Preparation Work
Reading about group comparisons and experimental design
Week 7 - Practice
One-way ANOVA and Kruskal Wallis H test
Week 8 - Theoretical
One-way ANOVA and Kruskal Wallis H test (Midterm exam)
Week 9 - Practice
ANOVA for repeated measures and Friedman test
Week 10 - Theoretical
Two-way repeated measures ANOVA
Week 10 - Practice
Two-way repeated measures ANOVA in the statistical program
Week 10 - Preparation Work
Reading about group comparisons and experimental design
Week 11 - Practice
Cross tabulations and chi-square test in statistical program
Week 11 - Preparation Work
Reading about the chi-squared test
Week 12 - Theoretical
Calculation of reliability
Week 12 - Preparation Work
Reading about reliability analysis
Week 13 - Theoretical
Correlation analysis
Week 13 - Practice
Correlation in statistical program
Week 14 - Theoretical
Regression analysis
Week 14 - Preparation Work
Reading about regression analysis
Week 15 - Theoretical
Choosing statistical analyses in line with the research problem
Week 15 - Practice
Statistical analyses for the given research problem
Week 16 - Final Exam
Final exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Midterm Examination1%20
Final Examination1%60
Practice8%10
Assignment7%10
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140228
Lecture - Practice140228
Assignment33112
Reading30515
Midterm Examination115217
Final Examination125227
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
OÇ-1
4
5
3
5
4
4
4
5
5
OÇ-2
4
5
5
5
4
4
4
4
4
OÇ-3
3
5
5
4
4
3
3
4
4
OÇ-4
4
3
5
5
5
4
5
5
5
OÇ-5
4
4
4
5
5
5
4
4
4
OÇ-6
5
5
5
5
5
4
4
5
5
Adnan Menderes University - Information Package / Course Catalogue
2026