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Course Unit Title Course Unit Code Type of Course Unit Level of Course Unit Year of Study Semester ECTS Credits
Educational Statistics I EGD105 Compulsory Master's degree 1 Fall 7

Name of Lecturer(s)

Assistant Prof. Dr. Neslihan Tuğçe ÖZYETER
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 12 13 14 15 16 17 18 19 20 21 22
Learning Outcomes
1 No relation No relation No relation Middle Middle Middle Middle High No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation High High No relation No relation
2 No relation No relation No relation Middle Middle Middle Middle High No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation High High No relation No relation
3 No relation No relation No relation Middle Middle Middle Middle High No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation High High No relation No relation
4 No relation No relation No relation Middle Middle Middle Middle High No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation High High No relation No relation
5 No relation No relation No relation Middle Middle Middle Middle High No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation High High No relation No relation
6 No relation No relation No relation Middle Middle Middle Middle High No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation High High No relation No relation
7 No relation No relation No relation Middle Middle Middle Middle High No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation High No relation No relation No relation
8 No relation No relation No relation Middle Middle Middle Middle No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation High High No relation No relation
9 No relation No relation No relation Middle Middle Middle Middle High No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation High High No relation No relation
10 No relation No relation No relation Middle Middle Middle Middle High No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation High High No relation No relation
11 No relation No relation No relation Middle Middle Middle Middle High No relation No relation No relation No relation No relation No relation No relation No relation No relation No relation High High No relation No relation

Mode of Delivery

Face to Face

Prerequisites and Co-Requisites

None

Recommended Optional Programme Components

.

Course Contents

Definition of statistics and its importance. Basic concepts. Organization of data. Descriptive statistics. Correlation. Simple linear regression and multiple regression. Independent Samples T Test. Mann Whitney U Test. Paired Sample T test. Wilcoxon Signed Rank Test. ANOVA (Analysis of Variance) (One Way/Two Way). Kruskal Wallis Test. ANCOVA (Analysis of covariance). Exploratory factor analysis.. Chi-squared test. Reliability analysis. Analysis of qualitative data.

Recommended or Required Reading

Planned Learning Activities and Teaching Methods

1) Lecture
2) Question-Answer
3) Discussion
4) Group Study
5) Self Study
6) Project Based Learning


Assessment Methods and Criteria

Contribution of Midterm Examination to Course Grade

30%

Contribution of Final Examination to Course Grade

70%

Total

100%

Language of Instruction

Turkish

Work Placement(s)

Not Required