# Interpreting results of one-way bayesian ANOVA in JASP

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Dear forum,

I would like to ensure that I correctly interpret and report the results of one-way bayesian ANOVA (different samples, not repeated measures). I attach an output of my analysis (using JASP and SPSS). My questions are:

1. If I read the output correctly, in JASP I get Bayes factor (BF10) 0.175. Given that it is < 0.33, can I say that this supports H0?

2. When I report my JASP analysis I say that the priors were based on cauchy distribution. This is what I understood from this paper: https://link.springer.com/article/10.3758/s13423-017-1323-7 Would it be correct statement?

3. For comparison, I ran the same analysis in SPSS (Jeffreys–Zellner–Siow method). in SPSS the Bayes factor is 0.022. Is the discrepancy between two programs because of different priors?

Thank you a lot,

Vadim

## Comments

461Dear Vadim,

Cheers,

E.J.

12SPSS is in error, almost surely. It would require a prior scale of almost two to get that low a Bayes factor.

Here's my check. This isn't

exactlyright, because it appears you have slightly different numbers in each group, but this is the only way I can just use the F statistic. It should be very close.2Thank you very much for your answers and great software!