EGT517 Education StatisticsIstanbul Okan UniversityDegree Programs Master of Arts in Early Childhood Education with thesisGeneral Information For StudentsDiploma SupplementErasmus Policy StatementNational Qualifications
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: EGT517
Course Name: Education Statistics
Course Semester: Spring
Course Credits:
Theoretical Practical Credit ECTS
3 0 3 8
Language of instruction: TR
Course Requisites:
Does the Course Require Work Experience?: No
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 : Öğr.Gör. SÜMEYYE YÜCEL
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 analysis of the 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 resources
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) Nonparametric tests related resources
15) Deciding on the Right Statistical Method related resources
16) Final exam 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 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 3
2) To be able to use the knowledge at the level of expertise gained in preschool education 4
3) To be able to comprehend the interaction between preschool education and other disciplines and create new information 4
4) Apply a scientific research, analysis and interpret the results 5
5) Following the developments in the field and improving himself throughout life 4
6) To be able to evaluate the strategies, policies and practices developed in preschool education and their results 4

Learning Activity and Teaching Methods

Expression
Individual study and homework

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
Study Hours Out of Class 16 4 64
Homework Assignments 1 12 12
Midterms 1 12 12
Final 1 20 20
Total Workload 156