JASP Méta-analyse : comment interpréter les résultats facilement

In this video, I continue the tutorial on meta-analysis with JASP, this time focusing on interpreting the results. After a first video dedicated to the basics and setting up the analysis, this second part shows how to read and understand the outputs generated by JASP. 🎯 The goal is to make interpretation accessible by explaining, step by step, the main indicators used in meta-analysis. 📊 In this video, you will learn how to interpret: ✔️ the forest plot ✔️ the overall effect ✔️ heterogeneity (I², Q) ✔️ fixed and random effects models ✔️ the funnel plot and publication bias 🎓 This video is for: Master's and PhD students Researchers in social sciences, management, psychology, and economics Anyone who wants to understand the results of a meta-analysis in a practical way 📌 The goal is to show that it is possible to conduct and interpret a meta-analysis rigorously, using a free and accessible tool like JASP. 🔗 Remember to watch the first video to understand the basics and how to set up the analysis. #metaanalysis #jasp #statistics #research #PhD #dataanalysis #methodology #jamovi Playlists: Statistical Inference    • Inférence statistique   Data Analysis with JAMOVI    • JAMOVI   Learning R with ChatGPT    • Apprendre R avec ChatGPT   HR Analytics    • HR Analytics   Descriptive Statistics    • Statistiques de base   Marketing Research | R    • Analyse de données | R   Data Analysis with JASP    • Analyse de données avec JASP   Marketing Research with Excel    • Recherche marketing avec Excel  

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