Meta-Analysis with R (Episode 46): Interactions and Permutation Tests in R

How do you model an interaction in a meta-regression, and how do you check whether the result is robust? The video fits pubyear * continent with rma, reads the four coefficients as two lines, explains why a perfect fit (R squared of 100 percent) should make you suspicious in real data, and then shows what a permutation is, how the permutation p-value p* is counted, and how permutest reports it. Video 46 of the series, seventh of eight on chapter 8 of the book 'Doing Meta-Analysis with R'. It follows the free online textbook by Harrer, Cuijpers, Furukawa and Ebert (https://doing-meta.guide); the videos give a first overview, the book goes into depth. This video series accompanies courses at the Department of Psychological Research Methods, Trier University: http://bosnjak.uni-trier.de Next: Multimodel Inference: Which Predictors Matter?    • Meta-Analysis with R (Episode 47): Multimo...   Playlist of the course:    • Doing Meta-Analysis with R: A Hands-On Vid...