H2020 LEARNVUL Summer School Sep 2021. ANOVA with Bayesian Statistics. Part III

This video is part of a project that has receiving funding from European Union's Horizon 2020 research and innovation programme under grant agreement No. 952464.

Bayesian Statistics and hypothesis testing. ANOVA with Bayesian Statistics (part III)
Daniele Romano, Università degli Studi di Milano-Bicocca

Timestamps:
00:00:17 - 00:02:36 • Introduction: • Discussion on the study „Expert agreement in Prior Elicitation and its Effects on Bayesian Inference” (Stefan et al., 2021)
00:02:37 - 00:02:50 • Import data into JASP
00:02:51 - 00:05:43 • Bayesian repeated measure ANOVA
00:05:44 - 00:09:05 • Specifying parameters in JASP
00:09:06 - 00:18:43 • Interpreting the output (identifying the best model)
00:18:44 - 00:20:14 • Post-hoc tests
00:20:15 - 00:23:05 • Pros and cons of JASP
00:23:06 - 00:26:18 • Pros and cons of NHST vs Bayesian
00:26:19 - 00:27:21 • References and resources for running Bayesian
00:27:22 - 00:36:33 • Quick demonstration of Bayesian ANOVA in R