Meta-Analysis in Social Research and Survey Methodology
This course will provide an introduction to a broad range of meta-analytical techniques using the free statistical software package R. Meta-analysis can be thought of as a collection of statistical analyses used to examine results from individual
studies with the general purpose of integrating their findings. A meta-analysis is considered to be the statistical part of a so-called systematic review. While the course focuses particularly on the statistical aspects of a systematic review, we briefly introduce all parts of a research synthesis. That is, we will also discuss how to formulate a research question, search and evaluate the literature as well as how to extract and code the data. In this course we will cover the basics of meta-analysis as well as more advanced topics. However, we will not be able to cover topics like network meta-analysis or meta-analytic structural equation modeling. Participants are not expected to have a working knowledge of R but are provided with an R introduction. Special emphasis will be put on performing meta-analysis on experimental and intervention-based studies, in particular from survey methodology. This course is approved by the Campbell Collaboration (https://www.campbellcollaboration.org).