Master of Arts in Educational Administration and Supervision non-thesis
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

General course introduction information

Course Code:

EGT-564

Course Name:

Educational Statistics

Course Semester:

Fall
Spring

Course Credits:

Theoretical	Practical	Credit	ECTS
3	0	3	8

Language of instruction:

Course Requisites:

Does the Course Require Work Experience?:

Type of course:

Department Elective

Course Level:

Master

TR-NQF-HE:7. Master`s Degree

QF-EHEA:Second Cycle

EQF-LLL:7. Master`s Degree

Mode of Delivery:

Face to face

Course Coordinator :

Prof. Dr. AYTAÇ GÖĞÜŞ

Course Lecturer(s):

Assoc. Prof. ERHAN ALABAY

Course Assistants:

Course Objective and Content

Course Objectives:	The aim of this course is to obtain statistical data by using the concepts of inferential statistics and to carry out analyzes related to package programs in the computer environment.
Course Content:	Defining inferential statistics, examining the usage areas and learning the analysis are the contents of this program.

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
1) Understand the importance and usage areas of inferential statistics.
2 - Skills
Cognitive - Practical
1) Gives examples by explaining the research hypothesis and its types.
3 - Competences
Communication and Social Competence
Learning Competence
1) Explains the properties of the normal distribution.
2) Explains the usage areas of standard values.
Field Specific Competence
Competence to Work Independently and Take Responsibility
1) Analyzes using SPSS.

Lesson Plan

Week	Subject	Related Preparation
1)	Descriptive Statistics and Inferential Statistics	Related sources
2)	Properties of Normal Distribution	related resources
3)	Building and Testing Hypotheses	related resources
4)	T-test (One Sample)	related resources
5)	T-test (Independent Samples)	related resources
6)	T-test (Dependent Samples)	related resources
7)	Variance Analysis (ANOVA)	related resources
8)	Midterm	related resources
9)	One Way Variance Analysis (Independent Samples)	related resources
10)	One Way Variance Analysis (Dependent Samples)	related resources
11)	Factorial Variance Analysis	related resources
12)	Correlation	related resources
13)	Linear Regression	Related resources
14)	Non-parametric test	related resources
15)	Deciding on the Right Statistical Method	related resources
16)	Final	related resources

Sources

Course Notes / Textbooks:	Gravetter, F.J. and Wallnau, L.B. (2012). Statistics for the Behavioral Sciences. 9.Basım. Wadsworth, USA. Pallant, J. (2011). SPSS Survival Manual: A Step by Step Guide to data Analysis using SPSS, 4.Basım. Open University Press, USA
References:	Salkind, N.J. (2011). Statistics for People Who (Think They) Hate Statistics, 4.Basım, Sage, USA. Heiman, G.W. (2011). Basic Statistics for the Behavioral Sciences. 6.Basım. Wadsworth, USA

Course-Program Learning Outcome Relationship

Learning Outcomes	1	2	3	4	5
Program Outcomes
1) To understand the aims and principles of the Turkish National Education System.
2) To be able to learn about the history and development of management science, to learn the management and characteristics of educational organization.
3) Learning the roles and managerial abilities of managers.
4) To have information about what supervision is, educational supervision principles and skills and abilities.
5) To be able to construct the problems related to EYD within the framework of scientific problem solving and to propose solutions to the problems of the education system by using quantitative and qualitative research methods.
6) Ability to apply research skills in research methodology and field literature, which can carry out independent studies in the field of education management and supervision, and to achieve productive results in interdisciplinary studies.
7) To be able to mobilize people, manage the dynamics of social relations and apply the leadership skills required by their social and educational environments.
8) By analyzing the reflections of internationally emerging educational policies on national educational policies, they can develop new perspectives at national level.

Course - Learning Outcome Relationship

No Effect	1 Lowest	2 Low	3 Average	4 High	5 Highest

	Program Outcomes	Level of Contribution
1)	To understand the aims and principles of the Turkish National Education System.
2)	To be able to learn about the history and development of management science, to learn the management and characteristics of educational organization.
3)	Learning the roles and managerial abilities of managers.
4)	To have information about what supervision is, educational supervision principles and skills and abilities.
5)	To be able to construct the problems related to EYD within the framework of scientific problem solving and to propose solutions to the problems of the education system by using quantitative and qualitative research methods.
6)	Ability to apply research skills in research methodology and field literature, which can carry out independent studies in the field of education management and supervision, and to achieve productive results in interdisciplinary studies.
7)	To be able to mobilize people, manage the dynamics of social relations and apply the leadership skills required by their social and educational environments.
8)	By analyzing the reflections of internationally emerging educational policies on national educational policies, they can develop new perspectives at national level.

Learning Activity and Teaching Methods

Expression
Lesson
Homework
Q&A / Discussion

Assessment & Grading Methods and Criteria

Written Exam (Open-ended questions, multiple choice, true-false, matching, fill in the blanks, sequencing)
Homework

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	1	% 30
Midterms	1	% 30
Final	1	% 40
total		% 100
PERCENTAGE OF SEMESTER WORK		% 60
PERCENTAGE OF FINAL WORK		% 40
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	16	3	48
Midterms	1	12	12
Final	1	12	12
Total Workload			72