GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
STATISTICAL ANALYSIS OF DATA IN SCIENCE EDUCATIONAL RESEARCH/1310014
Course Title: STATISTICAL ANALYSIS OF DATA IN SCIENCE EDUCATIONAL RESEARCH
Credits 3 ECTS 6
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
Students know the concepts of statistics and have knowledge about the history of statistic.
Students can handle data from excel file and transfer data to SPSS files.
Students are able to get the results of descriptive statistics for the data in SPSS.
Students know the meaning of probability in statistics.
Students, for their research, can express the problem statement and hypotheses. With appropriate statistical techniques, they can test the hypotheses
Students know Correlational analysis and regression analysis techniques.
Students can estimate the confidence intervals for the sampling distribution and errors in hypothesis testing.
Students know t-test, analysis of variance and chi-square analysis methods.
 -- MODE OF DELIVERY
  The mode of delivery of this course is Face to face.
 --WEEKLY SCHEDULE
1. Week  Statistics and Historical Development of Statistics
2. Week  Descriptive Statistics
3. Week  Frequency Distributions Tabulation
4. Week  Probability
5. Week  Correlation Analysis
6. Week  Regression Analysis
7. Week  Hypotheses and Hypothesis Testing
8. Week  Midterm exam
9. Week  Sample Distribution and Estimate of Confidence Interval
10. Week  Errors in Hypotheses Testing
11. Week  Choosing of Correct Statistics
12. Week  t-test
13. Week  F-Statistics: Variance Analysis
14. Week  Chi-Square Test
15. Week  Final exam
16. Week  
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
40
 Assignment
0
0
 Application
0
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
2
2
4
 Searching in Internet and Library
2
2
4
 Material Design and Implementation
4
2
8
 Report Preparing
2
2
4
 Preparing a Presentation
14
3
42
 Presentation
2
3
6
 Midterm Exam and Preperation for Midterm Exam
1
3
3
 Final Exam and Preperation for Final Exam
4
6
24
 Other (should be emphasized)
3
2
6
 TOTAL WORKLOAD: 
143
 TOTAL WORKLOAD / 25: 
5.72
 Course Credit (ECTS): 
6
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1Improves, deepens and uses knowledge in the field of education with science-related theories, laws, cases, models and concepts.X
2integrates the knowledge about science and science education with the information coming from different disciplines functionally.X
3exposes a problem situation in the field of science education, develops solutions by using quantitative and qualitative research methods, collects data for it, analyzes and reports data by using appropriate techniques.X
4follows the literature related to science and science education, the current debates, projects and developments critically, and applies a lifelong learning policy to real life.X
5shares the findings of studies in the field of science education at the national and international level in an oral and written way.X
6uses computer software, information and communication technologies at advanced level in order to get and share knowledge about his/her area.X
7interprets national strategies, policies and implementation plans about science education and evaluates the results obtained.X
8conducts research considering social, scientific and ethical values.X
9uses a foreign language to follow the international literature, to share and report oral and written information about his/her area.X
10conducts studies related to science education as an individual or takes responsibility in a team work.X
 -- NAME OF LECTURER(S)
   (Prof. Dr. Mustafa SARIKAYA)
 -- WEB SITE(S) OF LECTURER(S)
   (http://websitem.gazi.edu.tr/site/sarikaya)
 -- EMAIL(S) OF LECTURER(S)
   (sarikaya@gazi.edu.tr)