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Registration to (15-ICF) ICO Introductory Course and (15-T7) Research synthesis including meta-analysis will close September 1st!

posted 31 Aug 2015, 06:26 by ICO Education   [ updated 31 Aug 2015, 06:26 ]
If you want to join the ICO Introductory Course or the course (15-T7) Research synthesis including meta-analysis, do not forget to register: Registration will close at the end of September 1st

The Introductory Course is for PhD students at the early stage of their dissertation project. You will become familiar with ICO (the Interuniversity Centre for Educational Research), the types of research performed within ICO, and ICOs position in the national and international field of educational research.  
An important part of this course is to learn how to present and defend your PhD-project proposal and to get to know other PhD candidates who recently started their PhD project. You will learn to give and receive feedback on a research project. In addition, the course offers opportunities to practice research skills such as evaluating scientific articles and books, participating in review meetings, and managing your research project. 

Synthesising results from previous studies is a vital step in educational science. What have previous studies for a specific topic found as results? Do these findings converge or not? And can differences in findings across studies be explained by theoretically inherent issues or by features of the research design employed? This course addresses issues related to systematic reviews and meta-analysis and helps participants to develop knowledge and skills to both better understand and evaluate syntheses written by others and do their own synthesis. 
In this ICO course we will focus on the following objectives: 
  • Formulating the question that is central to the synthesis 
  • Finding studies that can be used in the synthesis, and setting inclusion/exclusion criteria 
  • Scoring studies on various quantitative and qualitative characteristics 
  • How to perform a qualitative analysis of these studies How the do a meta-analysis (calculating effect sizes, constructing study weights, predicting differences between study outcomes, how to deal with publication bias, etc.)