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EJ

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EJ
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  • Hi Gabriel, The not-so-subtle statistical practice in experimental psychology would be to average the 8 time points for each participant and conduct the regression/correlation on the averaged numbers. A more subtle approach would be to apply some so…
  • van Doorn, J., van den Bergh, D., Boehm, U., Dablander, F., Derks, K., Draws, T., Evans, N. J., Gronau, Q. F., Hinne, M., Kucharsky, S., Ly, A., Marsman, M., Matzke, D., Komarlu Narendra Gupta, A. R., Sarafoglou, A., Stefan, A., Voelkel, J. G., &…
  • I'll ask Don van den Bergh, who programmed this
  • Well, JASP basically uses Lavaan code, so when you know the correct model syntax for Lavaan, you can simply copy-paste it and it should work. E.J.
  • That's a good suggestion, I'll pass this along. Cheers, E.J.
  • Well, that depends. One could argue that for a subjective Bayesian it does not matter what other hypotheses you did or did not test, the evidence is simply the evidence. However, the fact that you were testing several hypothesis might indicate that …
  • Hi WWU, Can you provide more information please? (description of what exactly you want to do, concrete example, url with background information, possibly R code). Cheers, EJ
  • What are the t-test supposed to correct for? EJ
  • Hi Gabriel, Although it is possible for test a four-way interaction, with realistic sample sizes it would have to be a whopper to detect it. What we hope to do in the near future is allow the user to specify the particular kind of interaction (i.e.,…
  • Dear WWU, We are currently in the midst of revamping the Reliability functionality, so if you post this issue on our GitHub page we can either tell you we already have it, or it could be added in the future. (for details see https://jasp-stats.org/…
  • yes, although the labels are only heuristic guidelines. I would not bet my house on such evidence. One way to interpret the number is that if H0 and H1 were equally likely a priori (0.50 for H0) a BF of 3.73 gives a posterior model probability for H…
  • Hi Elena, Gabriel's link is the one I'd also point to for design planning; Given that the data are already in, all that matters is the evidence. So I agree with you that, from an inference perspective (not from a planning perspective) power analyses…
  • Hi Philip, That's not easy and its pretty impressive that you got it to work. I'd recommend to take a look at the Scott & Berger papers that explain the procedure. Cheers, E.J.
  • Yes, so the data are 1/0.268 = 3.73 times more likely under the two main effects model than under the model that also includes the interaction. JASP uses the principle of marginality, which means that if the interaction is included in the model, so …
  • Hi AnaOnar, Hope this helps: https://psyarxiv.com/spreb See also https://link.springer.com/article/10.3758/s13423-017-1323-7 and https://link.springer.com/article/10.3758/s13423-017-1343-3 for more general introductions. Cheers, E.J.
  • Hi Ben, I'll forward this to our SEM team member (who is on vacation right now). Thanks for reporting this. Cheers, E.J.
  • Ah this is very interesting. I'll forward this to the team member tasked with this project! E.J.
  • Hi August Because it's descriptives, and not inference, we use the credible intervals with uniform priors on the entire real line (so basically a confidence interval). I've always been uneasy with this; maybe it would be best to leave the user the o…
  • Dear August, Thanks for posting the issue and sorry for the tardy reply. About the effect size question: I do think we have recently added posterior distributions in JASP, but I am not sure they are for traditional effect size measures. I'll ask the…
  • Hi JPZ, Sorry for the tardy reply. I am not sure what we offer now (I think the weighting is there for some analyses, but not all). Could you propose some books or R packages so that we have a more concrete handle on what is needed? It would be grea…
  • Dear AMa, Sorry for the super-tardy response. I've forwarded your issue to the team. I think this particular interaction term was still under development, but perhaps Johnny has recently added it...we'll let you know soon Cheers, E.J.
  • Actually, we also offer color palettes for the color blind, and we have keyboard shortcuts for most of our navigation tasks. We will make a list of what we do now and add it to the FAQ on our website. E.J.
  • Dear Andersony3k, Thanks for bringing this to our attention. We have discussed this with several people already, and are considering how to make the necessary changes. Right now, the only thing that JASP allows is to increase and decrease the font s…
  • Hi Tom, Yes, we hope to add this functionality soon. The implementation will be along the same lines as linear regression, so we will also be using Merlise Clyde's BAS package from R. Highly recommended. Cheers, E.J.
  • Yes, both in classical and in Bayesian form. The work is done (!), but I am not sure whether it will be in the upcoming release (which we are going to test now) or the one after that. In the mean time, if you want to run the frequentist test (which …
  • Hi mcp, Sorry for the tardy reply. In JASP, when you select "independent samples t-test" you will be offered the option of doing the Mann-Whitney, so indeed, that's the one you need. This may also explain the error you got when you were tr…
  • Yes, indeed, this is not possible at the moment! I'll give it a bump on the GitHub page (which is the most efficient method; you can do this too -- https://jasp-stats.org/how-to-use-jasp/) Cheers, E.J.
  • Hi H_S, Under https://jasp-stats.org/how-to-use-jasp/ you can go to Repeated Measures ANOVA, and view a YouTube video that will walk you through the basics. Cheers, E.J.
  • I'll forward this to the team, but the purpose of ML is usually not to estimate parameters; the focus is squarely on visualization and prediction. Cheers, E.J.
  • Maybe I misunderstand, but if you enter the main effect as nuisance parameters (included in the null model) then the BF for the interactions will be outputted by JASP directly. Cheers, E.J.