Information Package / Course Catalogue
Meta Analysis
Course Code: BİS634
Course Type: Area Elective
Couse Group: Third Cycle (Doctorate Degree)
Education Language: Turkish
Work Placement: N/A
Theory: 4
Prt.: 0
Credit: 4
Lab: 0
ECTS: 5
Objectives of the Course

Meta-analysis of a particular subject has been made and independently of each other to bring together the results of experiments and studies, and combine the results obtained from the research findings is a method of statistical analysis

Course Content

Introduction of Curriculum Study, Single Subject Research Methods Review, Meta-Analysis What is it? Meta-analysis compiling Difference, Meta-Analysis Meta-analysis compiling Difference, Meta-Analysis Steps, Meta-Analysis Evidence-Based Practices in Special Education, Comparison of Methods for Meta-Analysis Research,

Name of Lecturer(s)
Learning Outcomes
1.Single-subject research are discussed.
2.Discusses the concept of meta-analysis.
3.Prepare the database for meta-analysis.
4.Discuss the meta-analysis of single-subject research.
5.Meta-analysis is done
Recommended or Required Reading
Weekly Detailed Course Contents
Week 1 - Theoretical
Introduction of Meta analysis
Week 2 - Theoretical
Introduction of Meta analysis
Week 3 - Theoretical
Meta-Analysis Steps
Week 4 - Theoretical
Collecting data for meta analysis
Week 5 - Theoretical
Collecting data for meta analysis
Week 6 - Theoretical
Dependent variables in Meta analysis
Week 7 - Theoretical
Study characteristicsfor meta analysis
Week 8 - Theoretical
Literature review and discussion (Midterm exam)
Week 9 - Theoretical
Statistical analysis for meta analysis
Week 10 - Theoretical
Statistical analysis for meta analysis
Week 11 - Theoretical
Estimate effect size for meta analysis
Week 12 - Theoretical
Planning a meta-analysis study
Week 13 - Theoretical
Conducting the meta-analysis study
Week 14 - Theoretical
Reporting the Meta-analysis study
Week 15 - Final Exam
Final exam
Assessment Methods and Criteria
Type of AssessmentCountPercent
Attending Lectures1%5
Assignment1%5
Midterm Examination1%20
Final Examination1%70
Workload Calculation
ActivitiesCountPreparationTimeTotal Work Load (hours)
Lecture - Theory140456
Assignment23210
Quiz42112
Midterm Examination120222
Final Examination120222
TOTAL WORKLOAD (hours)122
Contribution of Learning Outcomes to Programme Outcomes
PÇ-1
PÇ-2
PÇ-3
PÇ-4
PÇ-5
PÇ-6
PÇ-7
OÇ-1
3
3
3
4
4
3
5
OÇ-2
5
5
4
4
4
4
OÇ-3
4
4
4
4
4
4
4
OÇ-4
4
4
4
5
4
4
5
OÇ-5
5
5
3
4
4
4
4
Adnan Menderes University - Information Package / Course Catalogue
2026