EJ
About
- Username
- EJ
- Joined
- Visits
- 2,531
- Last Active
- Roles
- Member, Administrator, Moderator
Comments
-
Yes, good question. The next version of JASP will allow factors to be added as factors. Previously we did allow factors to be added as predictors, but they were not analyzed as factors. Cheers, E.J.
-
Hello ARF, Well, this is somewhat of an usual situation and I'm not sure! Low N is never helpful, but you seem to have many observations per subject...you might want to plot the effects of interest per subject perhaps Cheers, E.J.
-
Hi Maya, Could you be a bit more precise? R2 is the general measure for proportion of variance explained -- what exactly is unexpected? Cheers, E.J.
-
Hi Kirstenivany, We have provided RollApp with the most recent code. They have not been responsive but they might push a new version at any moment. When they do we will advertise it on your website and on twitter. We are currently looking in how to …
-
Hi Aemar, Sorry to hear this, such experiences are always frustrating. Please post the issue on our GitHub page, where the programming team can assist you effectively. (This forum is meant for statistical questions.) For details on how to post the i…
-
Hallo Tim, Ik raad deze aan: https://psyarxiv.com/pqju6/ Als je wilt kunnen we ook een korte Q&A sessie doen -- dan is het handig om vooraf even de data te sturen, dan kan ik al even kijken (vertrouwelijk, natuurlijk; je kunt me de jasp file ema…
-
Thanks for the graphs and explanations! I hope we will have what you're asking for soon, but we welcome future suggestions for improvement so let us know your thoughts (as I said, it will take a while before we have added this functionality but we'r…
-
I've asked, hope to learn from the team members soon Cheers, E.J.
-
Hi Joedoc, So you already have the limits as computed from some other stats program, and then you wish to plot them? I don't think that's possible right now (you could issue a feature request on our GitHub page, for detail see https://jasp-stats.org…
-
I'll ask E.J.
-
I'll ask what's up with the RM MANOVA...
-
Right. But as moderation is an interaction, it seems that the problem reduces to specifying an interaction in a SEM model? Cheers, E.J.
-
Hello Manondmg, This is a technical issue that I advise you to take to our GitHub page, where our Linux expert may be able to help you out. For details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/ Cheers, E.J.
-
This is strange -- I'll make some enquiries E.J.
-
Hi JP21, Does this help? https://jasp-stats.org/2020/03/12/mediation-and-moderation-analysis-in-jasp/ Cheers, E.J.
-
Hi IBR, I believe you do have fixed effects. If you go to "Additional options" and change the prior width, the BF should change -- right? If fact you can just change each of the three scales by an order of magnitude; if the results remain …
-
Hi Mirna, Definitely the independent multinomial, as you already suggested. Yes, this test should work in JASP. I'm not sure about that note -- can you send an example csv and .jasp file? E.J.
-
Hi Nils, You can first add a 1, and then do the transform. Or you could multiply all values x by a constant c, so that the smallest x gives cx>1; you then have log(cx), which is log(c) + log(x) and the constant should not affect your inference. …
-
No worries. I'll ask our experts. E.J.
-
Hi Amy, We are here to help :-) If you go to "Preferences" -> "Results" you can untick "display exact p-values". Very small p-values will then be shown as "<.001". Let me know if it is working for you. …
-
If you look at the little icons on the bottom right you see that the input pane only accepts ordinal and continuous variables. The measurement level of your variables, in contrast, is deemed to be nominal. If this is not the case you can override th…
-
Given the data and the uniform prior (and the likelihood), the probability is 95% that mu lies between the lower and upper bound. [I would use mu in order to distinguish between the sample value and the inference] Cheers, E.J.
-
Hi Rohanp16, I guess it is a little weird to add credible intervals in a "descriptive" table, because the intervals are an inference. These credible intervals are for the group means, under a uniform prior. You can change the priors (under…
-
That analysis uses the BayesFactor package in R. Have you checked their documentation? Cheers, E.J.
-
Hi Szymon, Do you mean the Bayesian linear mixed model, or the Bayesian ANOVA? E.J.
-
I'll attend Richard to your issue (he is busy so may not have time soon -- you could email him and let us know here what he says). Cheers, E.J.
-
Hi Scribe42, In many scenarios, the inference is very robust to the type of prior that is used. The primary Bayesian movement in statistics right now is "objective Bayes" and it uses general-purpose priors that meet specific desiderata. My…
-
Hi Scribe42, The priors can be set under "Advanced options" (linear regression) or "additional options" (ANOVA). The default options are not uninformed in the sense that they are not uniform, but they are fairly spread out and ce…
-
Yes, so the model including Groups get strong support from the data (over the null model). You might want to look at R2 that is not model-averaged, but based on the model including Groups. Cheers, E.J.
-
Hi Markus, Can you paste the model table? If the BF supports the inclusion of the group factor than this is what counts. The model-averaged R2 credible interval informs you about the size of the effect, not about whether it is present or absent -- i…