Methods for Research Synthesis: from meta-analysis to meta-ethnography - online course
Date:
28/04/2014 - 28/07/2014
Organised by:
EPPI-Centre, Institute of Education, University of London
Presenter:
Dr James Thomas
Level:
Advanced (specialised prior knowledge)
Contact:
Hazel Croft, h.croft@ioe.ac.uk , +44 (0) 20 7612 6511
Venue: Online
Description:
This online course is designed for experienced researchers who wish to gain an advanced, working knowledge of synthesis methods. You will learn about, and use, both established and emerging methods that you can then employ in your own research.
This course will provide you with highly sought after skills and knowledge, supporting career development in those academic, policy or practice settings where systematic reviews are used and produced.
This course will equip you with the skills to undertake a qualitative or quantitative synthesis in a systematic review. On successful completion, you will become familiar with the aims and rationale for different methods of critical appraisal and research synthesis.
The module aims to develop understanding in:
- theory, purpose and practicalities of numerical approaches to reviewing including statistical meta analysis of effect sizes;
- theory, purpose and practicalities of narrative and conceptual approaches to synthesis such as meta narrative reviews and meta ethnography;
- theory, purpose and practicalities of quality appraisal of primary studies for different types of synthesis;
- arguments in favour and against different approaches to systematic synthesis.
Cost:
A summary of fees is available at http://eppi.ioe.ac.uk/MSc/mrs
Website and registration:
Region:
International
Keywords:
Quality in Qualitative Research, Quality in Quantitative Research, Quantitative Data Handling and Data Analysis, Data Mining, Mixed Methods Data Handling and Data Analysis, Research Policy, Evidence-Based Policy and Practice, Research Skills, Communication and Dissemination
Related publications and presentations:
Quality in Qualitative Research
Quality in Quantitative Research
Quantitative Data Handling and Data Analysis
Data Mining
Mixed Methods Data Handling and Data Analysis
Research Policy
Evidence-Based Policy and Practice
Research Skills, Communication and Dissemination