Meta-Analysis with R (Episode 47): Multimodel Inference: Which Predictors Matter?

How do you find out which predictors matter in a meta-regression without picking one model by hand? The video fits all 16 predictor combinations with multimodel.inference from dmetar, reads the four output blocks (final results, best five models, averaged coefficients, predictor importance), explains why the result stays exploratory, and wraps up chapter 8 with its five key points. Video 47 of the series, eighth 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: Publication Bias (link to the next video – add once it is online) Playlist of the course:    • Doing Meta-Analysis with R: A Hands-On Vid...