Meta-Analysis with R (Episode 36): Subgroup Analyses: Asking Why Effects Differ

Outlier and influence analyses show that a study does not fit, but not why. This video explains what subgroup (moderator) analyses add: hypotheses defined a priori about why effects differ, the model with its two steps, and step one, pooling the effect within each subgroup with a separate or a common tau squared, illustrated with the ThirdWave studies split by risk of bias. Video 36 of the series, first of four on chapter 7 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: Do Subgroups Differ? The Fixed-Effects (Plural) Model    • Meta-Analysis with R (Episode 37): Do Subg...   Playlist of the course:    • Doing Meta-Analysis with R: A Hands-On Vid...