AI-Powered Meta-Analysis (Basics to Advance)

Description

Are you struggling with the tedious, error-prone manual data extraction required for meta-analysis? Do you want to go beyond simple bivariate meta-analysis and fit complete structural equation models across dozens of published studies?

This advanced 4-week masterclass teaches you how to build an AI-driven, automated data collection workflow and combine it with R to execute cutting-edge Meta-Analytic Structural Equation Modeling (MASEM/MSEM). By pairing Artificial Intelligence with R packages like `metafor` and `metaSEM`, you will automate effect size extraction from PDFs, pool correlation matrices, and test complex theoretical frameworks for top-tier academic journals.