EJ
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- EJ
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I don't think so, but I recall this being a feature request on our GitHub page -- you could find it and give it a bump perhaps. See https://jasp-stats.org/feature-requests-bug-reports/ Cheers, E.J.
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I've forwarded this to Richard! EJ
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I think that you might try a procedure such as Bain (also a JASP module); in general, the work of Herbert Hoijtink, Irene Klugkist, Joris Mulder et al. has focused on these sorts of constraints across conditions. EJ
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...but you might want to ask advice from the lavaan people, because I suspect it is a lavaan issue and not a JASP issue EJ
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I suspect there is an error in the lavaan code, or in the way it connects to your data. It is difficult to judge without more information about the code and the data! Cheers, E.J.
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Are you sure you want to test against a value of zero? The plot fails because the result is so extreme, but the table still ought to provide the information, right? EJ
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Hi Michael, Good question. The "obvious" answer would be some sort of hierarchical modeling to account for the similarity. It would be a good grant proposal :-) But it seems to me that you would have to model the dependence explicitly. Ch…
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There are 67, shown on our world map in blue: https://jasp-stats.org/world-map/
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Difficult to tell without seeing the data. Can you share the anonymized set, or a subset that showcases the problem? I would immediately think that the reason for the strange behavior is that the plot is not really appropriate, as it is not a histog…
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You can edit all sorts of aspects of the plot with our plot editor. See the first gif in this post: https://jasp-stats.org/2021/09/21/introducing-jasp-0-15-new-languages-basic-plot-editing-raincloud-plots-and-more/ (so you open the small black tria…
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Excellent, then we take the discussion there: https://github.com/jasp-stats/jasp-issues/issues/2552
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This is really strange. I'll attend the team to this. It might be more efficient to handle this through GitHub though...
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Dear chantelanuit, Good question! We have an extensive blog post on PROCESS that is ready to go. It is scheduled to go live next week. Cheers, E.J.
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Not right now (you can use other programs for that) but it would be a good feature request for our GitHub page (for details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/) EJ
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Can you give a concrete example? (If it is not easy with JASP right now it would be a good feature request for our GitHub page; for details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/) EJ
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What, we wrote that?! It is not correct, in the sense that it mistakes the BF for a posterior odds (in other words, if M1 is deeply implausible a priori it may not be the most likely model; but perhaps this was clear from context). About your quest…
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I've asked the experts. Cheers, E.J.
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Hi Paul, The prior that JASP allows is centered on a value of rho=0. Now you could do a one-sided test (allowing only positive correlations; this might be implied by the theory), and you can change the prior width. However, you cannot presently cent…
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No I don't think it will matter much (I do personally prefer the median though :-)) EJ
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I'll ask the experts EJ
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I've asked the experts! Cheers, E.J.
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What do you mean with "both models"? Usually we offer the opportunity to check for violations in all analyses we have -- if we don't you can suggest that we add this by posting on our GitHub page (for details see https://jasp-stats.org/201…
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Dear lemakru, The more complex model (H1) will always have a higher R2 than the simple model. But the R2 indicates the best-possible, cherry-picked fit, whereas the BF is based on a comparison of predictive performance. EJ
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I'll forward this to our experts. Cheers, E.J.
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Dear Shefali, This is really more of an issue for our GitHub page (for details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/). But I can tell you that Nominal categories can never be changed to numerical categories (the link…
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Please post it on GitHub for the team to fix! Cheers, E.J.
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I'm not an expert on the topic, but it seems to me that if you have non-stationary time series data, you need to use a time series model as your base --perhaps a state-space model?-- and then model the exogeneous factors on top of that...JASP does h…
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I am sorry to hear this, the installation should not give you this much trouble. The programming team would be happy to help you out, but in order to do so efficiently it is best if you post the issue on our GitHub page (for details see https://jasp…
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Hi Chris, I think this is an issue for our programming team, in which case it is more efficient if you post it on our GitHub page (for details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/) Cheers, E.J.
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You can find the equations that transform the sufficient statistics to what you like online. We do have a "Summary stats" module but it is based on a Bayesian analysis. EJ