400023 SE Foundational conceptual and methodological knowledge for conducting a meta-analysis (2022W)

This five-day course covers the basic knowledge and skills for conducting a meta-analysis, including identifying and retrieving literature, coding studies, computing effect sizes and confidence intervals, using fixed-effect and random-effects models, quantifying heterogeneity, and assessing publication bias. We will also briefly introduce special topics such as three-level meta-analysis and Bayesian meta-analysis. We will start each day with lectures and discussions, and move on to computer-based lab work in the afternoon. Students should have at least a fundamental knowledge of applied statistics and experimental and quasi-experimental design to succeed in this class. For lab work, students are expected to bring their own computer with R and preferably also RStudio (free online) installed; some basic skills in R will be greatly helpful.