ME712 Meta-Analysis

6 ECTS - 3-0 Duration (T+A)- . Semester- 3 National Credit

Information

Code ME712
Name Meta-Analysis
Term 2022-2023 Academic Year
Term Spring
Duration (T+A) 3-0 (T-A) (17 Week)
ECTS 6 ECTS
National Credit 3 National Credit
Teaching Language Türkçe
Level Yüksek Lisans Dersi
Type Normal
Mode of study Yüz Yüze Öğretim
Catalog Information Coordinator Prof. Dr. KAMURAN TARIM
Course Instructor
1


Course Goal / Objective

The aim of this course is to learn the basic concepts of meta-analysis and the application steps of meta-analysis.

Course Content

Meta analysis, steps of meta analysis, study characteristics,computing effect size , study of meta analysis, presenting the study.

Course Precondition

none

Resources

DURLAK, J. A., 1998. Understanding Meta-analysis. In L.G. Grimm &P. R. Yarnold.(Eds.), Reading and Understanding Multivaiate statistics. American Psychological Association. Washington DC. pp. 319-352. HARTUNG, J.; KNAPP, G., 2001. A Refined Method for The Meta-analysis of Controlled Clinical Trials With Binary Outcome. Statistics in Medicine. 20:3875-3889. HEDGES, L. V.; OLKİN, I., 1985. Statistical Methods For Meta-analysis. Academic Press, Orlando, FL. HUNTER, J. E.; SCHMIDT, F.,1990. Methods of Meta-analysis. Sage Publications, Newbury Park, CA.

Notes

DURLAK, J. A., 1998. Understanding Meta-analysis. In L.G. Grimm &P. R. Yarnold.(Eds.), Reading and Understanding Multivaiate statistics. American Psychological Association. Washington DC. pp. 319-352. HARTUNG, J.; KNAPP, G., 2001. A Refined Method for The Meta-analysis of Controlled Clinical Trials With Binary Outcome. Statistics in Medicine. 20:3875-3889. HEDGES, L. V.; OLKİN, I., 1985. Statistical Methods For Meta-analysis. Academic Press, Orlando, FL. HUNTER, J. E.; SCHMIDT, F.,1990. Methods of Meta-analysis. Sage Publications, Newbury Park, CA.


Course Learning Outcomes

Order Course Learning Outcomes
LO01 Explains meta analysis
LO02 Explains the steps of meta analysis
LO03 Explains gathering data in meta analysis
LO04 Explains analysing methods in meta analysis
LO05 Computes the effect size in meta anaysis
LO06 Knows Meta Win programmes
LO07 Uses Meta Win proramme
LO08 Does a sample study by applying meta analysis steps
LO09 Presents the meta analysis study


Relation with Program Learning Outcome

Order Type Program Learning Outcomes Level
PLO01 Bilgi - Kuramsal, Olgusal Scientific research and analysis methods in mathematics education. 5
PLO02 Bilgi - Kuramsal, Olgusal Expresses mathematics curriculum and basic principles on which it is based.
PLO03 Bilgi - Kuramsal, Olgusal Explain the learning theories in mathematics education.
PLO04 Bilgi - Kuramsal, Olgusal Describes teaching strategies, methods and techniques appropriate for undergraduate qualifications.
PLO05 Bilgi - Kuramsal, Olgusal Explains the interdisciplinary versions related to the field.
PLO06 Bilgi - Kuramsal, Olgusal Explains mathematics subject areas at the level of knowledge expertise.
PLO07 Bilgi - Kuramsal, Olgusal Knowledge of different fields with knowledge of mathematics education.
PLO08 Bilgi - Kuramsal, Olgusal Explain the theoretical and practical knowledge in the field of expertise.
PLO09 Bilgi - Kuramsal, Olgusal Criticizes guidance at primary and international level.
PLO10 Bilgi - Kuramsal, Olgusal Plans and conducts a scientific research.
PLO11 Bilgi - Kuramsal, Olgusal Applies teaching methods and skills in accordance with undergraduate qualifications. Personal and Professional Competencies
PLO12 Bilgi - Kuramsal, Olgusal Manages an area of ​​expertise in its field independently.
PLO13 Bilgi - Kuramsal, Olgusal Carries out teamwork or leadership in situations that require resolution of problems related to the field.
PLO14 Beceriler - Bilişsel, Uygulamalı New invisible in terms of scientific and social aspects. 4
PLO15 Beceriler - Bilişsel, Uygulamalı Studies in the field carry out lifelong learning.
PLO16 Beceriler - Bilişsel, Uygulamalı Follows technological developments.
PLO17 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Supports a scientific study conducted in the field of mathematics education with qualitative and quantitative data and presents to the experts or non-experts in written, oral and visual. 5
PLO18 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Effectively covers information and communication technologies.
PLO19 Yetkinlikler - Bağımsız Çalışabilme ve Sorumluluk Alabilme Yetkinliği Use the languages ​​of the European language portfolio to understand the information in the field and to communicate verbally and in writing.
PLO20 Yetkinlikler - Öğrenme Yetkinliği The strategy of reviewing a study or reviewing a study acts in accordance with scientific, scientific and ethical values.


Week Plan

Week Topic Preparation Methods
1 Introduction, Introduction of the resources,giving information related to teaching a lesson Reading the related section from the relevant sources Öğretim Yöntemleri:
Anlatım
2 Introduction of meta analysis Reading the related section from the relevant sources Öğretim Yöntemleri:
Anlatım, Tartışma
3 Gathering data for meta analysis Reading the related section from the relevant sources Öğretim Yöntemleri:
Anlatım, Tartışma
4 Coding for meta analysis Reading the related section from the relevant sources Öğretim Yöntemleri:
Anlatım, Tartışma
5 Dependent variables on meta analysis Reading the related section from the relevant sources Öğretim Yöntemleri:
Anlatım, Tartışma
6 Study characteristics for meta analysis Reading the related section from the relevant sources Öğretim Yöntemleri:
Anlatım, Tartışma
7 Statistical analysis for meta analysis Reading the related section from the relevant sources Öğretim Yöntemleri:
Anlatım, Tartışma
8 Mid-Term Exam prep. task Ölçme Yöntemleri:
Ödev
9 To estimate the magnitude of impact in the meta-analysis Reading the related section from the relevant sources Öğretim Yöntemleri:
Anlatım, Tartışma
10 Introduction of Meta Win packet programme Reading the related section from the relevant sources Öğretim Yöntemleri:
Anlatım, Tartışma
11 Input data by using MetaWin programme Reading the related section from the relevant sources Öğretim Yöntemleri:
Anlatım, Tartışma
12 Planning a small-scale meta-analysis study Reading the related section from the relevant sources Öğretim Yöntemleri:
Anlatım, Tartışma
13 A meta-analysis of the implementation of small-scale study Reading the related section from the relevant sources Öğretim Yöntemleri:
Anlatım, Tartışma
14 Reporting the Meta-analysis study Reading the related section from the relevant sources Öğretim Yöntemleri:
Anlatım, Tartışma
15 Presenting the Meta-analysis study Preparation of the presentation Öğretim Yöntemleri:
Alıştırma ve Uygulama
16 Term Exams prep. report Ölçme Yöntemleri:
Ödev
17 Term Exams prep. report Ölçme Yöntemleri:
Ödev


Student Workload - ECTS

Works Number Time (Hour) Workload (Hour)
Course Related Works
Class Time (Exam weeks are excluded) 14 3 42
Out of Class Study (Preliminary Work, Practice) 14 5 70
Assesment Related Works
Homeworks, Projects, Others 0 0 0
Mid-term Exams (Written, Oral, etc.) 1 15 15
Final Exam 1 30 30
Total Workload (Hour) 157
Total Workload / 25 (h) 6,28
ECTS 6 ECTS

Update Time: 24.11.2022 02:42