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EJ
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EJ
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EJ
Joined
October 2015
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December 13
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633
yeah, taking that interrelationship into account would be best but I am not sure it is worth the trouble
E.J.
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Ajestudillo
Hmm. It seems that you can use three separate rank-based correlations between questionnaire score and number of fixations?
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Ajestudillo
Yes, that's fine. *But* the effect is not small! So I would push back here. You have a medium effect size with a medium-to-large sample size. The result of that combination is displayed in the prior-…
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HannaG
http://www.ejwagenmakers.com/2015/NuijtenEtAl2015.pdf
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MAgoJ
I'll attend some other team members to this post
E.J.
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normanp
I am not sure what goes wrong...
I have tried this with 0.9.0.1 and the latest 0.9.1.0, and it works like a charm, for both the Bayesian as well as the classical analysis.
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normanp
Hi Boo,
About the mean and variance: The data-generating process should be the same: it's OK for the sample estimates to fluctuate.
With respect to multiple replications…
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booradley
Yes, that's correct, but note that for this approach to work you'd have to assume that other parameters (means and variances) are the same across experiments. If that's not the case, you could simply…
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booradley
Dear Boo,
Are you using a t-test? If so, you could take a look at the following two papers:
1. Informed t-test (https://arxiv.org/abs/1704.02479)
2. Replication Bayes fac…
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booradley
I don't have any ideas straight off the bat, but this is a typical issue we'd like to see posted on our GitHub page. This way the programming team can assist you effectively, and hopefully make life …
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4x1eg
Yeah, well, with these kinds of nonstandard data I would recommend a more complex analysis. First of all, your data are binomial on the subject level, as you mention. Second, the effect of delay wil…
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Aram
Sorry about that. Here it is:
http://www.ejwagenmakers.com/2017/RouderEtAl2017ANOVAPM.pdf
Cheers,
E.J.
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Aram
Yes, brms is the ticket. However, the package places less emphasis on testing, and setting the default priors well (for testing) can take some tinkering. It is in the works for JASP, but not in there…
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Aram
oreo_jo
Hi N_C,
OK, so let's take variable 1. Going by the p=.114 value, you are interested in the time*group interaction. If you look at the Bayesian ANOVA, you can see that the model with bo…
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N_C
Dear Eniseg2,
Nothing is wrong (although...see below). If you test whether two groups are different, and all you see are data from one of the groups, the BF should remain exactly 1. I …
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eniseg2
Hi Meerkat,
This is a "BayesFactor"-specific question, so I can't answer it confidently. It appears to me that you have several different (crossed) factors, so a linear mixed model wou…
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Meerkat
Hi Marios
Unfortunately this is not yet possible. We are aware of the limitation and we are working on a comprehensive solution that allows all plots to be edited. But it may take a wh…
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mariosav
If you send me an Email I can forward you the internship report by a student, Tim de Jong, who worked on this.
E.J.
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kosugitti
Hi Sarah,
Interesting example! Here's my take on what's going on here. Basically, there is no contradiction. Yes, the credible interval just overlaps with zero, but that does not mean …
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SarahA
Thanks MSB, I forgot this for a moment
E.J.
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MSB
Ah, this is something that Tim did for us.
Tim is on a trip around the world and may rejoin us, but that will take a few more months. Of course our JASP/R code online should demonstrate how t…
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m_linde_18
BF_m quantifies the change from prior odds to posterior odds.
Here I'd select "compare to best model" and then BF_01 for display, and you'll see how many times better the "openness" only mode…
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MAgoJ
SarahA
Awesome!
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MSB
Hi Hanna,
This is a great question. Some brief thoughts:
1. With BFs in between 1 and 3 you have not learned much **with respect to the specific model-comparison question you were …
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HannaG