Short Course C: Applied Systematic Review and Meta-Analysis
Dr. Jessica Daikeler, Sonila Dardha
Date: 12.08 - 14.08.2020
Location: Online via Zoom
[This is a 12 hour class.]
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 three-day course is to provide participants with an applied introduction to methods for conducting systematic reviews and meta-analyses 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, 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 2 and 3 of this workshop.
A detailed syllabus for this course is available for download here.
Participants will find the course useful if:
By the end of the course participants will be able to:
Organizational Structure of the Course
The course will consist of three 50-minute lectures as well as a 90-minute hands-on session per day. Participants will spend time applying the course content to their evidence synthesis projects. They can either work individually or in small groups to complete a research project relating to systematic reviews and/or meta-analyses. The instructors will be available during the practical sessions to answer questions, both with regards to course exercises and individual/group projects. We will use “Zoom” for online teaching and online group/ pair work.
Software and Hardware Requirements
Participants need to use a laptop with R and RStudio installed. If you have never worked with R before, an (online) tutorial is advisable to get you started. Due to the short course time, this course cannot provide an introduction into R. During the course, the R package metafor will be used; please install this package and add it into your library using the following instructions: after starting R, type in "install.packages("metafor")". If you receive the message "package 'metafor' successfully unpacked and MD5 sums checked", then everything works fine. More information on this R package can be found at: http://www.metafor-project.org/doku.php/installation.
Participants need access to ILIAS, the e-learning platform for accessing all the resources of this course. Please access the platform to download the material prior to the start of the course. Since we will conduct a literature search during the course, a(VPN)access to the University library of your own institutions would be very helpful. Finally, participants need to download and install Zoom; this will be our online platform for delivering this course virtually. The GESIS summer school team will provide you information how to get Zoom installed.