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, the students; 1) comrehend basic statistical terminology 2) carry out analyses in accordance with types of variables

Course Content

The course focuses on basic concepts of statistics, parametric and non-parametrics test which are used in social sciences. Those techniques are used with computer practically.

Name of Lecturer(s)
Lec. Özge BIKMAZ BİLGEN
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
Reconstructing the syllabus
Week 2 - Theoretical
Central tendency measurement, normality, curtosis, and skewness.
Week 2 - Practice
Studying the concepts "central tendency measurement, normality, curtosis, and skewness" on computer package programs
Week 2 - Preparation Work
Reading about "central tendency measurement, normality, curtosis, and skewness"
Week 3 - Theoretical
Developing an achievement test
Week 3 - Preparation Work
Reading about achievement tests
Week 4 - Theoretical
Developing a test
Week 4 - Practice
Developing an achievement test about any subject
Week 5 - Theoretical
Developing a test
Week 5 - Practice
Developing an achievement test about any subject
Week 6 - Theoretical
Scales and scale development
Week 6 - Preparation Work
Reading about "scale and scale development"
Week 8 - Theoretical
Scales and scale development
Week 8 - Practice
Study on "scale and scale development"
Week 9 - Intermediate Exam
Mid term exam
Week 10 - Theoretical
T-test
Week 10 - Practice
Study on T-test on computer package programs
Week 10 - Preparation Work
Reading about T-test
Week 11 - Practice
Study on ANOVA on computer package programs
Week 11 - Preparation Work
Reading about ANOVA
Week 12 - Theoretical
Regression analysis
Week 12 - Preparation Work
Reading about regression analysis
Week 13 - Theoretical
Regression analysis
Week 13 - Practice
Study on regression analysis on computer package programs
Week 14 - Theoretical
Non-parametric testler
Week 14 - Preparation Work
Reading about non-parametric tests
Week 15 - Theoretical
Non-parametric tests
Week 15 - Practice
Study on non-parametric tests on computer package programs
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