Educational Statistics
Elementary Teaching
Institute of Social Sciences
Second Cycle (Master's Degree)
| Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
|---|---|---|---|---|---|---|
| Educational Statistics | ISO102 | Compulsory | Master's degree | 1 | Spring | 7 |
Name of Lecturer(s)
Associate Prof. Dr. Hakan TURAN
Assistant Prof. Dr. İsmet ŞAHİN
Learning Outcomes of the Course Unit
1) Define basic statistical terms, and the processes regarding data collection, data presentation and interpretation, central tendency and distribution, skewness and kurtosis coefficients.
2) Apply data entry and descriptive statistics.
3) Describe hypothesis testing for inferential statistics and give examples.
4) Explain corelation coefficient and the relationships among variables.
5) Explain regression coefficient and the relationships among variables.
6) Apply significance tests.
7) Apply t-test and analysis of variance (ANOVA).
8) Clarify nonparametric tests.
9) Analyze data by using SPSS.
10) Collect data about a research topic and does statistical analysis.
Program Competencies-Learning Outcomes Relation
| Program Competencies | |||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | 12 | ||
| Learning Outcomes | |||||||||||||
| 1 | High | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 2 | High | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 3 | High | Middle | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 4 | Middle | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 5 | High | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 6 | High | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 7 | High | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 8 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 9 | High | Middle | Middle | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 10 | Middle | High | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
Mode of Delivery
Face to Face
Prerequisites and Co-Requisites
None
Recommended Optional Programme Components
Scientific Research Methods
Course Contents
Basic statistical concepts, symbols and computations. Data collection and organization in educational sciences, descriptive statistics, correlation, regression and probability. Computer applications of statistical analyses. Choosing appropriate analysis techniques in educational studies.
Recommended or Required Reading
Planned Learning Activities and Teaching Methods
Assessment Methods and Criteria
Contribution of Midterm Examination to Course Grade |
40% |
|---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Language of Instruction
Turkish
Work Placement(s)
Not Required