EJ
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- EJ
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Comments
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I do not immediately see how a quadratic contrast would be set up to find a U but not an inverted U. You could try generating data according to an inverted U (or take U-shaped data and transform it to give an inverted U shape), apply the software, a…
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Early June. E.J.
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Hi Per, This is why the Library allows you to click the csv icon (to the right of the JASP icon), which just gives the raw data without any analysis or annotation. Or is this not what you mean? If you have a feature request, it is best to use our Gi…
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We don't produce the path diagrams. That certainly would be very nice to add. Cheers, E.J.
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Correct E.J.
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"Am I right to say that the cond model is the best model and adding presence into the model weakens it?" Yes. Second, "my concern here is whether I should be comparing cond + presence model with presence model (as per what I wrote in…
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Yes, the same scale applies. Cheers, E.J.
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Hi Tali, I am not aware of it, but I would advise you to check out our GitHub page (and, if you can't find it, post the issue there). Cheers, E.J.
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Hmm I am not 100% sure what you would like. I assume that with "delta value" you mean the posterior point estimate of effect size? If so, see my earlier response. If not, could you clarify? Cheers, E.J.
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The easiest way to check whether you did this correctly is to add "sense of presence" to the null model (under the tab "Model"). You might also want to tick "compare to best model" and "BF01" to the entries in…
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Not directly. We are looking to implement blavaan (but it is not there yet); you could code the model in our JAGS module, but it is not yet there as a drag and drop option. It would be a good feature request to increase the pressure to include this …
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Dear mlwilson, This is a topic for our GitHub page. If you post this issue there, you will have direct access to the JASP programming team. In order to diagnose the problem and fix it, they may need some more information. Cheers, E.J.
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This would be a good feature request for our GitHub page. The more precise you can make your request the higher the probability that it will be implemented quickly (i.e., show a specific example, refer to a textbook, mention an R package). Cheers, E…
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We are using the scientific E-notation for large numbers (https://en.wikipedia.org/wiki/Scientific_notation#E_notation). So 2.961 e+6 is shorthand for 2.961 * 10^6 = 2,961,000. If you use the log BF, you have to exponentiate, so compute exp(14.901).…
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I'm not sure that is more enlightening, but you can make a feature request on our GitHub page so the team can debate this! Cheers, E.J.
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The directional tests make sense only when you have a 2x2 table and the interest is in comparing two proportions. The data for these two proportions can be collected in several different ways (poisson, multinomial). Cheers, E.J.
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I think the same advice holds here as well: you could send Erik-Jan an email. Of course it would be great if he could share the "solution" on this forum to avoid getting these emails on a regular basis :-)
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Hello Nico, These options define the model to which all other models are compared. The fundamental information in the table does not change, however. Because the null model is often very poor, it is usually more interpretable to compare all models a…
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The effect size estimate under H1 would remain the same, as would the Bayes factor. The post-hoc character of the test affects only the prior model odds. Now if you wanted to obtain a model-averaged estimate of effect size using both H0 and H1, then…
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Thanks for the reminder, I've sent another email. We will shortly be hiring new people with expertise in SEM, so then we should be able to respond to these issues faster. Cheers, E.J.
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Hi Cathy, If your replication study is exact (so that the studies can be considered exchangeable), you can use the trick outlined in this paper: https://link.springer.com/article/10.3758/s13428-018-1092-x Cheers, E.J.
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Hi Lotte97, I'm not 100% sure that you mean with "an assumption check", but under "Statistics" we offer "Residuals", and under "Plots" we offer "Residual Plots". Cheers, E.J.
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Yeah we weren't really all that serious when we implemented the stars. But your suggestion does make sense I think. It would be a good feature request for our GitHub page! Cheers, E.J.
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I'll forward this issue to our ML experts! Sorry for the tardy response. Cheers, E.J.
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Hmm this is really a question of how you specify models in lavaan. So I would look online for lavaan documentation first. We are in the process of hiring team members with SEM expertise (our previous expert accepted a job as an assistant professor) …
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Hello Davez, I believe that for both of these questions you are better off posting them on the JASP GitHub page, as you will have direct access to our programming team. About the spreadsheet: I suspect that you have linked a particular file type to…
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Hi Fred, Well, this is indeed a difficult conceptual issue. The Bayesian correction for multiplicity is in the prior odds (not in the BF). When you specify these prior odds subjectively, based on background knowledge, separately for each test, then …
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Dear User234321, Could you post this issue on our GitHub page? That gives you direct access to our Linux Guru, who is probably eager to help you. This forum is meant for discussions on the functionality of JASP. Cheers, E.J.
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If the odds are O, the associated probability is O / (O+1). JASP gives you the BF, so you would have to multiple with the prior odds yourself. Cheers, E.J.
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BF is a ratio, so the prior probability component needs to be in ratio form too. So you multiply BF10 with p(H1)/p(H0), which in your case equals (1-.88)/.88 = 0.136, so you get 1.703 * 0.136 = 0.232. This is the posterior odds; converting this to …