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results of Bayesian ANOVA and ANOVA

Hi, everyone! I do analyses in JASP to test whether an effect is stable across three experiments.

In ANOVA, it shows p < 0.001, rejecting the H0 hypothesis. In Bayesian ANOVA, it shows B01= 2015, favoring the H0 hypothesis. It seems these two analyses reveal the opposite result. Is it possible to happen like this, or did I wrongly interpret something?


Thank you in advance!

Comments

  • It turn I interpret the Bayesian results worng. I don't know how to delete this discussion, sorry😓.

  • :-) Yes, when in doubt about what the subscripts mean, I always look at the change from prior to posterior model probability. That shows massive evidence in favor of H1, in line with the classical result.

    E.J.

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