14 August 2020
Applied Systematic Review and Meta-Analysisonline course
The increasing amount of literature in many social science fields makes it difficult for researchers to assess and keep up with new evidence. As a result, systematic reviews and meta-analyses play an important role in synthesising research and help researchers and practitioners make evidence-based decisions. The aim of this five-day course is to provide participants with an applied introduction to methods for conducting systematic reviews and meta-analysis in the social sciences. The course focuses on all parts of a research synthesis, from how to formulate a research question, search and evaluate the literature as well as how to extract and code the data and finally, integrate findings using meta-analytic models. The course will be interactive and practical, with the delivery of sessions based on lectures and individual/small groups working on their own research projects. Prior use of R is advantageous for day four and five of this workshop.
Dr. Jessica Daikeler is a survey methodologist at GESIS, Germany.
Sonila Dardha is a survey methodologist at City University of London, UK.
Participants will find the course useful if
- they are planning to or currently working on a Master/PhD thesis, or a scientific publication in social sciences or survey methodology using research synthesis methods (systematic review or meta-analysis).
- they want to gain a better understanding of the pros and cons of the method when evaluating meta-analytical results. However, in this course participants are encouraged to work on their own projects and perform all the different steps of systematically synthesising evidence for their research problem.
By the end of the course participants will be able to
- define a review question and understand how to develop a review protocol and the key stages of the systematic review process
- develop a search strategy to identify relevant studies for a specific review question
- understand how to conduct a comprehensive literature search
- apply eligibility criteria to identify relevant studies
- understand how to perform a meta-analysis and how to present the results of a meta-analysis
- conduct a basic meta-analysis and meta-regressions using the free software package R and R's metafor package.be
- Participants are expected to have a working forthcoming project that necessitates knowledge in systematic reviews or meta-analyses.
- Participants are expected to have a good working knowledge of statistics at an undergraduate level, e.g. statistical inference (standard error, confidence interval), bivariate statistics (correlation coefficient, mean differences, odds ratio) as well as a basic understanding of (linear) regression analysis and ANOVA.
- Participants are interested in any subtopic in social research or survey methodology.
- Participates are expected to install R, and preferably RStudio, as well as the metafor package, on their computers. Please see the “Software and Hardware Requirements” section below for more information.
EUR 160: Student/PhD student rate.
EUR 240: Academic/non-profit rate.
The rates include the tuition fee and the course materials.