GAZI UNIVERSITY INFORMATION PACKAGE - 2019 ACADEMIC YEAR

COURSE DESCRIPTION
Meta-Analysis/4800115
Course Title: Meta-Analysis
Credits 3 ECTS 8
Course Semester 2 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 meta analysis articles
 -- MODE OF DELIVERY
  face to face
 --WEEKLY SCHEDULE
1. Week  Function and Purpose of Meta Analysis, Effect Size and Precision
2. Week  Fixed and Random Effect Models
3. Week  Testing Heterogeneity, Prediction Intervals
4. Week  Testing Heterogeneity, Prediction Intervals
5. Week  Subgroup Analyses, Meta Regression
6. Week  Complex Data Structures: Subgroups within a Study,
7. Week  Multiple Outcomes and Time Points, Multiple Comparisons Within a Study
8. Week  Vote Counting, Power Analysis, Publication Bias
9. Week  Midterm Exam
10. Week  Generality of the Basic Inverse-Variance Method and Meta Analysis Methods Based on Direction and p-Values
11. Week  Psychometric Meta Analysis, Reporting the Results of a Meta Analysis Cumulative Meta Analysis
12. Week  CMA Meta Analysis Software
13. Week  CMA Meta Analysis Software
14. Week  CMA Meta Analysis Software
15. Week  Presentation of Meta Analysis Article
16. Week  Presentation of Meta Analysis Article
 -- TEACHING and LEARNING METHODS
 -- ASSESSMENT CRITERIA
 
Quantity
Total Weighting (%)
 Midterm Exams
1
0
 Assignment
1
0
 Application
4
0
 Projects
1
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
15
3
45
 Weekly Tutorial Hours
0
0
0
 Reading Tasks
13
5
65
 Searching in Internet and Library
13
2
26
 Material Design and Implementation
0
 Report Preparing
3
5
15
 Preparing a Presentation
3
5
15
 Presentation
3
1
3
 Midterm Exam and Preperation for Midterm Exam
1
10
10
 Final Exam and Preperation for Final Exam
1
20
20
 Other (should be emphasized)
0
 TOTAL WORKLOAD: 
199
 TOTAL WORKLOAD / 25: 
7.96
 Course Credit (ECTS): 
8
 -- COURSE'S CONTRIBUTION TO PROGRAM
NO
 PROGRAM LEARNING OUTCOMES
1
2
3
4
5
1X
2
3
4X
5X
6X
7X
8X
9
10X
11X
12X
13X
14X
15X
16X
17X
18X
19X
20X
 -- NAME OF LECTURER(S)
   (Prof. Dr. Şeref Tan)
 -- WEB SITE(S) OF LECTURER(S)
   ()
 -- EMAIL(S) OF LECTURER(S)
   (Türkçe Turkish -- ÖĞRETİM ELEMAN(LAR)I (NAME OF LECTURER(S)) -- Maks. Karakter: 500 Doç. Dr. Şeref Tan Assoc. Prof. Dr. Şeref Tan -- ÖĞRETİM ELEMANI WEB SİTESİ/SİT)