EJ
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- EJ
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More precisely: if the size of the correlation between x and z under H1 affects the knowledge about the size of the correlation between z and m under H1, then independence is breached EJ
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You can multiply the BFs if knowledge of the result for x and y would not alter your knowledge for the correlation between z and m. Now you know that x and z are highly correlated, but I don't think this is relevant for the correlation between z and…
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This is not the same issue I don't think. Did you post yours?
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Hi Dan, I am not 100% sure what you did, but the BF is based on relative predictive performance for observed data y. It so happens that the t-value and sample size is a sufficient summary of the data, so that no information is lost when you enter t …
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I'll ask the team member who added it. Did you check the help file for background information and references? I am doing so now, and I see that it shows "the residual correlations (standardised residual covariance matrix) of the indicators"…
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Hmm. But maximum likelihood is not Bayesian. I will ask the relevant team member about missing data in the Bayesian process module. EJ
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The Bayesian Process module does not yield Bayes factors directly, but it does provide BIC and BIC weights (which are a transformation of Bayes factors under a unit-information prior). See the help file for background information and references. EJ
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I think we have seen a handful of these messages. I recommend that you search for this issue in our GitHub page -- I think these issues were solved. Regardless, the JASP team is always willing to assist, and your best bet if something does not work…
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This is not possible in the current data editor. Your best bet is perhaps to save the plot in a different format (Powerpoint, pdf) and post-process it in a graphics program. EJ
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So set everything else to fixed by default? But this seems to go against the popular mantra to "keep it maximal"
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Yes but we have to do something.
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The best way of course is to attend our annual workshop in Amsterdam :-) Otherwise, working through some of our papers and course books also helps. (e.g., https://jasp-stats.org/jasp-materials/#papersJASP and https://www.bayesianspectacles.org/free-…
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More samples yield more reliable results, but at a computational cost. This balancing act is yours to make as it will depend on a number of person-specific considerations. EJ
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But is this bad behavior? What alternative procedure would you recommend? Not give any output until these effects are specified as fixed or random?
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Dmartin427: maybe a good feature request? EJ
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This is also best handled through our GitHub page! EJ
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This is already included in the Survival module, isn't it? Regardless, the upcoming new version will have expended functionality for survival analysis. Best to take this issue to our GitHub page (under feature requests, see https://jasp-stats.org/20…
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I don't think so, but you can use the spreadsheet editor to get the data in the required format. EJ
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This is currently a task that the researcher must do. The general rule is that when these tests give you very different outcomes, (a) you are in trouble; (b) you are probably better off with the Mann-Whitney EJ
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If I read the file you use for your JASP analysis into R, and then execute cor.test, I get the same result as with JASP: https://forum.cogsci.nl/uploads/575/7MNA7L956SYK.png EJ
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We have a lot of fish to fry, but I've bumped the issue on our GitHub page. In the mean time, the use of shorter labels or post-JASP editing in a graphics program may help. This should look better if you stretch out the figure a little. As an aside,…
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The difference should be 0. Can you show a screenshot and/or upload the data file? EJ
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I've passed on the issue to the JASP team member with the relevant expertise. EJ
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Hmm I am not sure whether this is possible at the moment. It would be a good feature request. See https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/ for details. Cheers, E.J.
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Not right now in JASP itself, but it would be a good feature request (an enhancement of our image editor). See https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/ for details. EJ
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I'll pass this on to the JASP team member with the necessay expertise; sorry for the tardy reply. EJ
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Hmm that does sound like a bug we can easily fix -- could you report it on our GitHub page by any chance? EJ
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If you have multiple experiments, one option is to do a meta-analysis and base the prior on the group-level distribution for effect sizes. Also, the specific form of the prior should not matter much. I would be tempted to specify a (positive-only? T…
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Halo! Untuk membantu Anda, saya pikir diperlukan permintaan yang lebih tepat. Jika tidak, orang-orang hanya akan mengarahkan Anda ke literatur tentang analisis faktor. Anda juga dapat memeriksa manual JASP (di situs JASP) dan contoh kumpulan data di…
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On https://jasp-stats.org/jasp-materials/ you will find Mark Goss-Sampson's manual Bayesian Inference in JASP. My website has several tutorial articles, and each year we organize a hybrid workshop on Bayesian hypothesis tests at the University of Am…