EJ
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 EJ
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I would start with the help file and the references therein. Also, I am sure the various YouTube videos cover this...let me look...yes, just go to YouTube and search for "factor analysis in JASP" Cheers, E.J.

It is under Regression > "Generalized Linear model" E.J.

The module settings are reactivated when you restart JASP. So if you have the "Power" module activated on the ribbon, and you close and restart JASP, the "Power" module should still be present on the ribbon. Cheers, E.J.

Dear Grzegorz, In this case, isn't the design effectively a oneway ANOVA? And we do offer eta^2 for those designs... Cheers, E.J.

Or maybe this is the same as https://forum.cogsci.nl/discussion/8607/nominalbycontinuousvariablecrosstabetainjasp#latest  let continue the discussion there

Dear Stan, Could you be a bit more specific? If you refer to the effect size measure, the eta is generally used in ANOVA designs, and we offer it there. Are you referring to something else? In this case a link to an existing procedure in R and in SP…

I've asked our expert! EJ

Hi Daiichiro, I am not sure where I can find this data set in the JASP Data Library  can you tell me where exactly it is? E.J.

Hmm. Could you attach an example with concrete data? JASP uses R under the hood  have you looked to see whether the common procedure in R gives a different result from SPSS? EJ

+1

Thanks for reporting this  I'll forward this to our expert. It would be very helpful if you could add a screenshot, by the way! What could be the case (you could check) is that the new version uses the betabinomial prior model specification (I th…

Addendum: but it would be a good idea to develop this functionality in the future! EJ

JASP assumes that numbers with decimals are not ordinal. How did you get the decimals into your ordinal data? I suspect that you are averaging Likert scores?  averaging is an operation that is not meaningful for ordinal data (but of course we do i…

Thanks for reporting this, by the way

This appears to be a bug. I'll create a GitHub issue for it. E.J.

JASP includes the ShapiroWilk test under "Descriptives" > "Statistics" > "Distributions". However, what is at issue here is whether the residuals are normally distributed. For this we offer QQ plots and plots o…

Hi Camille, Sorry for the tardy response. I do think LMM is a good way to address these questions. I am not an expert on these models, however, and the team that has implemented them in JASP is still in the process of writing a tutorial. I do believ…

Hi Alexa, Sorry for the tardy response. My gut says to either half or double the default. But I'll contact the team for a more informed opinion... Cheers, E.J.

Hi Samra, We are working to make the R syntax available for the analysis in the modules, and hope to have that done soon. As far as expert help is concerned, I would first point you to tutorial papers (these should be in the help file). Cheers, E.J.

Hi Nathalie, Technically, the simulated data ought to be generated from the fitted model. Also note that you can simulate from H0, from H1 (using the information already obtained) or both (using model averaging). Cheers, E.J.

If the columns are fixed, then each column is a group. Group one will be the first column, group two will be the second column. So yes, the proportions are compared across the columns. The sample proportions for each column are obtained from the inf…

Dear Radamanthus, First, I would strongly suggest the Bayesian A/B test for this design; see https://psyarxiv.com/z64th and https://onlinelibrary.wiley.com/doi/10.1002/sim.9278 for instance. Second, this is an independent multinomial. The joint mult…

(if we don't have it, it would be a good feature request for our GitHub page) E.J.

We offer several correction for multiplicity, but somehow I can't seem to find this one quickly. I'll ask our expert. Cheers, E.J.

Sorry about the tardy reply. I know that this is possible in our ANOVA and regression. I've just asked our expert about LMMS! Cheers, E.J.

Hi DT, Ah, this is an interesting question (and sorry about the tardy response). I would say that the credible intervals that are reported are conditional on H1, and therefore do not need a correction. However, the unconditional credible intervals i…

Hi Whirly123, This is an interesting question. Note that a BF (for H0 vs H1) is related to a pvalue approximately as 3*p*sqrt(n), see https://psyarxiv.com/egydq So in a way a Bayesian does optional stop on a pvalue, but with a sample size correcti…

Hi Julia, Good question  I'll forward this to our expert. Sorry about the delay. Cheers, E.J.

Dear Dayna, Sorry about the delay. I'll forward your question to our expert. It does seem as if the image you tried to attach is broken though... Cheers, E.J.

Hi Georgios, Issue 1 looks more like a bug (unless it is explained in the help file). If it is not explained in the help file, please post it on our GitHub page (for details see https://jaspstats.org/2018/03/29/requestfeaturereportbugjasp/). Is…