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Course Unit Title | Course Unit Code | Type of Course Unit | Level of Course Unit | Year of Study | Semester | ECTS Credits |
---|---|---|---|---|---|---|
Education Statistics | OOE504 | Compulsory | Master's degree | 1 | Spring | 7 |
Associate Prof. Dr. Aslı EŞME
Associate Prof. Dr. Fatih KEZER
Associate Prof. Dr. Hakan TURAN
Assistant Prof. Dr. İsmet ŞAHİN
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 | |||||||||||
1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | ||
Learning Outcomes | |||||||||||
1 | High | Middle | Middle | Middle | High | High | High | High | High | High | |
2 | High | Middle | Middle | High | High | High | High | High | High | High | |
3 | High | Middle | Middle | High | High | High | High | High | High | High | |
4 | High | Middle | Middle | High | High | High | High | High | High | High | |
5 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
6 | High | Middle | Middle | High | High | High | High | High | High | High | |
7 | High | Middle | Middle | High | High | High | High | High | High | High | |
8 | High | Middle | Middle | High | High | High | High | High | High | High | |
9 | High | Middle | Middle | High | High | High | High | High | High | High | |
10 | High | Middle | Middle | High | High | High | High | High | High | High |
Face to Face
None
Not Required
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.
Contribution of Midterm Examination to Course Grade |
40% |
---|---|
Contribution of Final Examination to Course Grade |
60% |
Total |
100% |
Turkish
Not Required