Information
Code | ME712 |
Name | Meta-Analysis |
Term | 2022-2023 Academic Year |
Semester | . Semester |
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 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 |