Course Information

Course Information
Course Title Code Semester L+U Hour Credits ECTS
- TSE502 3 + 0 3.0 9.0
Prerequisites None
Language of Instruction Turkish
Course Level Graduate
Course Type
Mode of delivery Face to face
Course Coordinator Assoc. Prof. Dr. Elif GÜVEN DEMİR
Instructors Elif GÜVEN DEMİR
Assistants
Goals It is aimed to introduce statistical methods and techniques used in educational research and to gain basic skills for their use.
Course Content Basic concepts in statistics; descriptive statistics (central aggregation-spread measures), estimation of population parameters (standard error and confidence intervals); correlation concept and alternative correlation techniques; hypothesis testing, decision making; difference tests; chi-square analysis; scale development process; standardization and adaptation processes; data analysis with package programs (SPSS.) and alternative programs
Learning Outcomes
Weekly Topics (Content)
Week Topics Learning Methods
1. Week Introduction to Statistics - Basic concepts of statistics
2. Week Frequency distributions and description of frequency distributions
3. Week Probability and Standard normal distribution and Standard scores
4. Week Correlation The relationship between two variables and the measurement of the relationship
5. Week Spearman brown rank differences correlation coefficient
6. Week Simple linear regression analysis
7. Week T-Test: Testing differences between means
8. Week Mid-term exas
9. Week Analysis of variance - Parametric and Nonparametric tests
10. Week Post Hoc (Multiple) Comparisons
11. Week Chi-square test of independence - One-way Analysis of Variance (ANOVA)
12. Week SPSS application
13. Week SPSS application
14. Week SPSS application
Recommended Sources
Çokluk, Ö., Şekercioğlu, G., & Büyüköztürk, Ş. (2012). Multivariate statistics for social sciences: SPSS and LISREL applications (Vol. 2). Ankara: Pegem academy.
Shavelson, R. J. (2016). Sosyal bilimler için istatistik. Pegem Akademi.
ECTS credits and course workload
Event Quantity Duration (Hour) Total Workload (Hour)
Midterm 1 1 1 1
Homework 1 14 3 42
Homework 2 33 3 99
Final 1 3.5 3.5
Practice 14 3 42
Classroom Activities 14 3 42
Total Workload 229.5
ECTS Credit of the Course 9.0