GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
EDUCATION STATISTICS -I/1800104
Course Title: EDUCATION STATISTICS -I
Credits 3 ECTS 8
Course Semester 1 Type of The Course Elective
COURSE INFORMATION
 -- (CATALOG CONTENT)
 -- (TEXTBOOK)
 -- (SUPPLEMENTARY TEXTBOOK)
 -- (PREREQUISITES AND CO-REQUISITES)
 -- LANGUAGE OF INSTRUCTION
  Turkish
 -- COURSE OBJECTIVES
 -- COURSE LEARNING OUTCOMES
Understanding and applying analysis of variances
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face
 --WEEKLY SCHEDULE
1. Week  organization of Class and Basic Statistical Methods
2. Week  Basic Statistical Methods
3. Week  Basic Statistical Methods In-class Application
4. Week  Correlational Techniques
5. Week  Correlational Techniques In-class Application
6. Week  Regression
7. Week  Regression In-class Application
8. Week  Mid-term Exams
9. Week  Hipothesis Testing
10. Week  Hipothesis Testing
11. Week  Hipothesis Testing
12. Week  Hipothesis Testing In-class Application
13. Week  Analysis of Variance
14. Week  Analysis of Variance In-class Application
15. Week  Multiple comparison tests
16. Week  -
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
4
0
 Application
5
0
 Projects
0
0
 Practice
0
0
 Quiz
0
0
 Percent of In-term Studies  
40
 Percentage of Final Exam to Total Score  
60
 -- WORKLOAD
 Activity  Total Number of Weeks  Duration (weekly hour)  Total Period Work Load
 Weekly Theoretical Course Hours
14
3
42
 Weekly Tutorial Hours
0
 Reading Tasks
14
6
84
 Searching in Internet and Library
5
3
15
 Material Design and Implementation
0
 Report Preparing
5
6
30
 Preparing a Presentation
1
5
5
 Presentation
0
 Midterm Exam and Preperation for Midterm Exam
1
10
10
 Final Exam and Preperation for Final Exam
1
10
10
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
196
 TOTAL WORKLOAD / 25: 
7.84
 Course Credit (ECTS): 
8
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1To know basic concepts related to field of measurement and assessment.X
2To be familiar with basic test theories for developing measurement instruments.X
3To know ethical standard of scientific research process.X
4To develop measurement instrument according to its psychometric properties such as reliability, validity and usefulness being related to its structure and purpose of usage.X
5To construct relationship between the psychometric properties and test theories which are the base of development instrument of measurement instrument.X
6To develop items according to item development and adaptation process.X
7To use statistical techniques which are related to the process of test development and adaptation process according to its aim.X
8To accomplish studies related to its field.X
9To apply alternative measurement and assessment methods.
10To present project proposals and to report completed projects.X
11To choose research methods and techniques according to their research problem.X
12To use software utilized analysis of quantitative research data.X
13To choose measurement instrument relevant to their purpose according to psychometric properties.X
14To evaluate the process of item development and scientific research according to its appropriateness of ethical standards.
15To evaluate methods/approach that can be used for finding out psychometric properties according to construct and usage purpose of measurement instruments.X
16To evaluate the strength and weaknesses of adaptation process related to measurement instrument for different cultures and different purposes.
17To evaluate the researches in the field according to standarts of scientific method.X
18To interpret the outputs of software that is used in the analysis of quantitative survey data (univariate, multivariate).X
19To use information and communication technologies in a certain level in theoretical and practical studies of the field.X
20To analyze the education systems of different countries and measurement and assessment practices in these systems with critical perspectives.
 -- NAME OF LECTURER(S)
   (Assoc. Prof. Dr. DİLARA BAKAN KALAYCIOĞLU )
 -- WEB SITE(S) OF LECTURER(S)
   (-)
 -- EMAIL(S) OF LECTURER(S)
   (dilarabakan@gmail.com)