Statistics In Education
Educational Administration
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 |
|---|---|---|---|---|---|---|
| Statistics In Education | EBY126 | Compulsory | Master's degree | 1 | Spring | 7 |
Name of Lecturer(s)
Assistant Prof. Dr. Neslihan Tuğçe ÖZYETER
Prof. Dr. Aynur GEÇER
Associate Prof. Dr. Arzu DEVECİ TOPAL
Associate Prof. Dr. Fatih KEZER
Learning Outcomes of the Course Unit
1) S/he can define basic concepts about statistics.
2) S/he can organize data.
3) S/he can analyze the distribution of the data.
4) S/he can interpret test and item scores.
5) S/he can interpret relations between variables.
6) S/he can interpret regression analysis.
7) S/he can interpret parametric techniques.
8) S/he can non-parametric techniques.
9) S/he can use exploratory factor analysis to examine the structure of the test.
10) S/he can reports the results obtained.
11) S/he can use the one of the right reliability estimation methods.
Program Competencies-Learning Outcomes Relation
| Program Competencies | ||||||||||||
| 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 | ||
| Learning Outcomes | ||||||||||||
| 1 | No relation | Low | No relation | No relation | No relation | No relation | No relation | Low | Low | No relation | No relation | |
| 2 | No relation | Low | No relation | No relation | No relation | No relation | No relation | Middle | Low | No relation | No relation | |
| 3 | No relation | Low | No relation | Middle | No relation | No relation | No relation | Middle | Low | No relation | No relation | |
| 4 | No relation | Low | No relation | No relation | No relation | No relation | No relation | Middle | No relation | No relation | No relation | |
| 5 | No relation | Middle | No relation | No relation | No relation | No relation | No relation | No relation | Low | No relation | No relation | |
| 6 | No relation | Low | No relation | No relation | No relation | No relation | No relation | Middle | No relation | No relation | No relation | |
| 7 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | Low | 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 | |
| 9 | No relation | Middle | No relation | No relation | No relation | No relation | No relation | Middle | Low | No relation | No relation | |
| 10 | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | No relation | |
| 11 | No relation | Low | 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
Not Required
Course Contents
This course equips candidates with in-depth knowledge on statistics, normal distribution curve, descriptive statistic, organisation of data, measures of central tendency, dispersion measures, standard scores, introduction to predictive statistic, T/Z tests, variance analyze, chi-square, correlation analyze, regression and predictive, nonparametric tests, validity, reliability.
Weekly Schedule
1) Course Description Introduction to Statistics2) Introduction to SPSS and organisation of data in SPSS
3) Frequency Distribution and Graph Creation
4) Central Tendency and Variability
5) Probability, Standard Score and Standard Normal Distribution
6) Hypothesis Testing and Inferential Statistics for Reliability some methods used
7) Independent Samples T-test: Test for Differences between Means Editing
8) Midterm Exam
9) Dependent Sample T-test: Test for Differences between Means Editing
10) Variance Analysis: Testing Differences between Means
11) Factorial Variance Analysis: Testing Differences between Means Editing
12) Correlation: The Relationship Between Two Variables and Measuring the Relationship Regression: The Relationship Between Two Variables and Measuring the Relationship
13) Nonparametric Tests for Comparison of Means
14) Chi-Square Independence Test
15) Nitel verilerin analizi
Recommended or Required Reading
1- Green, S. B., ve Salkind, N. J., 2008. Using SPSS for Windows and Macintosh. Analyzing and Understanding Data (5. Baskı). New Jersey: Pearson Education Inc.
2- Büyüköztürk, Ş. (2007), Sosyal Bilimler için Veri Analizi El Kitabı, Ankara: Pegem A Yayıncılık
3- Büyüköztürk, Ş., Çokluk, Ö. ve Köklü N. 2018 Sosyal bilimler için istatistik Ankara Pegem Akademi
4- Tavşancıl, E. (2006). Tutumların Ölçülmesi ve SPSS ile Veri Analizi, Ankara:Nobel Yayın Dağıtım.
5- Tabachnıck, B.G., Fıdell, L.S., Using Multivariate Statistics, Allyn and Bacon, 2001
Planned Learning Activities and Teaching Methods
1) Lecture
2) Question-Answer
3) Discussion
4) Drill and Practice
5) Lab / Workshop
Assessment Methods and Criteria
Contribution of Semester Studies to Course Grade |
60% |
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Contribution of Final Examination to Course Grade |
40% |
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Total | 100% | |||||||||||
Language of Instruction
Turkish
Work Placement(s)
Not Required