Master of Arts in Early Childhood Education with thesis
Master	TR-NQF-HE: Level 7	QF-EHEA: Second Cycle	EQF-LLL: Level 7

General course introduction information

Course Code:

OKL521

Course Name:

Statistics

Course Semester:

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:

Compulsory

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 :

Öğr.Gör. SÜMEYYE YÜCEL

Course Lecturer(s):

Assoc. Prof. AYNUR PALA

Course Assistants:

Course Objective and Content

Course Objectives:	The general objective of this course is to improve the statistical literacy, to make sense of researches using statistical processes and to help those who use statistics in their research.
Course Content:	Basic concepts of statistics and application of basic concepts to education, parametric and nonparametric techniques used in social sciences, Teaching these techniques using SPSS program

Learning Outcomes

The students who have succeeded in this course;

Learning Outcomes

1 - Knowledge
Theoretical - Conceptual
2 - Skills
Cognitive - Practical
1) Understands the place and importance of statistics in the research process.
2) processes the data to the computer.
3) Makes the desired statistical analysis from the processed data.
4) Presents the results of statistical analysis with a chart or a table for research purposes.
3 - Competences
Communication and Social Competence
Learning Competence
1) Explains the difference between qualitative and quantitative research.
2) Recognizes the main statistical techniques used in educational research.
3) Determines the appropriate statistical techniques for research problems
4) Interpret the results of statistical analysis.
Field Specific Competence
Competence to Work Independently and Take Responsibility

Lesson Plan

Week	Subject	Related Preparation
1)	Basic concepts, the place of statistics in research process, variable, measurement, scale, data and statistics concepts	İlgili kaynaklardan araştırma yaparak, farklı örnekleri inceleme
2)	Introduction to SPSS, creating a data file in SPSS	İlgili kaynaklardan araştırma yaparak, farklı örnekleri inceleme
3)	Descriptive statistics, frequency distribution, calculation and presentation of frequency distribution with table, calculation of frequency distribution with graphics	İlgili kaynaklardan araştırma yaparak, farklı örnekleri inceleme
4)	Central tendency and variability measures, central tendency measurements, arithmetic mean, median (median), peak value (mode), variability measures	İlgili kaynaklardan araştırma yaparak, farklı örnekleri inceleme
5)	Procedural statistics, estimation of the universe value, normal distribution curve, hypothesis testing	İlgili kaynaklardan araştırma yaparak, farklı örnekleri inceleme
6)	Analysis of differences, T test, Independent groups t test	İlgili kaynaklardan araştırma yaparak, farklı örnekleri inceleme
7)	Midterm
8)	Paired groups t test	İlgili kaynaklardan araştırma yaparak, farklı örnekleri inceleme
9)	Variance analysis, One way variance analysis	İlgili kaynaklardan araştırma yaparak, farklı örnekleri inceleme
10)	Analysis of variance for repeated measurements	İlgili kaynaklardan araştırma yaparak, farklı örnekleri inceleme
11)	Covariance analysis	İlgili kaynaklardan araştırma yaparak, farklı örnekleri inceleme
12)	Covariance analysis	İlgili kaynaklardan araştırma yaparak, farklı örnekleri inceleme
13)	Relationship analysis	İlgili kaynaklardan araştırma yaparak, farklı örnekleri inceleme
14)	Chi-square	İlgili kaynaklardan araştırma yaparak, farklı örnekleri inceleme
15)	Final exam

Sources

Course Notes / Textbooks:	İlgili kaynaklardan araştırma yaparak, farklı örnekleri inceleme
References:	İlgili kaynaklardan araştırma yaparak, farklı örnekleri inceleme

Course-Program Learning Outcome Relationship

Learning Outcomes	1	5	6	7	2	3	4	8
Program Outcomes
1) To be able to evaluate critically about preschool education
2) To be able to use the knowledge at the level of expertise gained in preschool education
3) To be able to comprehend the interaction between preschool education and other disciplines and create new information
4) Apply a scientific research, analysis and interpret the results
5) Following the developments in the field and improving himself throughout life
6) To be able to evaluate the strategies, policies and practices developed in preschool education and their results

Course - Learning Outcome Relationship

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

	Program Outcomes	Level of Contribution
1)	To be able to evaluate critically about preschool education
2)	To be able to use the knowledge at the level of expertise gained in preschool education
3)	To be able to comprehend the interaction between preschool education and other disciplines and create new information
4)	Apply a scientific research, analysis and interpret the results	5
5)	Following the developments in the field and improving himself throughout life
6)	To be able to evaluate the strategies, policies and practices developed in preschool education and their results

Learning Activity and Teaching Methods

Expression
Homework

Assessment & Grading Methods and Criteria

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

Assessment & Grading

Semester Requirements	Number of Activities	Level of Contribution
Homework Assignments	3	% 40
Midterms	1	% 30
Final	1	% 30
total		% 100
PERCENTAGE OF SEMESTER WORK		% 70
PERCENTAGE OF FINAL WORK		% 30
total		% 100

Workload and ECTS Credit Grading

Activities	Number of Activities	Duration (Hours)	Workload
Course Hours	14	3	42
Study Hours Out of Class	14	3	42
Homework Assignments	3	10	30
Midterms	1	15	15
Final	1	15	15
Total Workload			144