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Information
| Unit | INSTITUTE OF SOCIAL SCIENCES |
| MATHEMATICS EDUCATION (MASTER) (WITH THESIS) | |
| 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 |
The current term course schedule has not been prepared yet.
|
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 | ||