The course is taught in the form of interactive seminars in which students will complete four individual assignments, one each day. After the submission of each assignment, students will receive feedback.
Go to 'Additional Course Information' at the bottom of the page for Course Readings and highly recommended Additional Sources.
Topics that will be discussed:
- Two types of systematic reviews
- Pros and cons of meta-analysis
- Publication bias and quality of publications
- Effect size and how to calculate it
- Literature search, exclusion, inclusion, and coding
- Available software, including JASP/RStudio
- Fixed- and random-effects model
- Heterogeneity and its consequences
- Estimating overall effect size
- Analysis of moderators
- Estimating publication bias (trim and fill, p-uniform*, PET-PEESE)
- Gentle introduction to R, meta-analysis in R (briefly)
- Additional topics: meta-analysis of indirect effects, meta-CART, meta-plot, and Bayesian meta-analysis
Additionally, students will be familiarized with examples of published research to better understand the standard expectations and means of professionalism
Keep reading below for more information and the syllabus