EJ
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- EJ
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Comments
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You can use the multinomial chi-square but it requires some extra work. You have to indicate the expected and observed frequencies for each of the six cells -- importantly, in the multinomial chi-square each of the six cells needs a different name. …
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Hi Oliviero, We can help you out, but the communication with the programming team will be much more efficient if you use your GitHub page (for instructions see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/) Cheers E.J.
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Hi ttome, Suppose we have a 2x2 contingency table. This yields 4 cells; if you format your data set so that it can be analyzed with the multinomial chi square and you indicate the expected frequencies, you will get the identical result. If you want…
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Thanks MSB, I forgot this for a moment E.J.
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Ah, this is something that Tim did for us. Tim is on a trip around the world and may rejoin us, but that will take a few more months. Of course our JASP/R code online should demonstrate how this is done... E.J.
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OK. And you checked that it does not have anything to do with the missing values? So when you apply JASP to the data after removing the missing values, the results are unaffected? E.J.
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JASP ought to use the BayesFactor code. My first suggestion would be to run the analysis multiple times to get an indication of the variability in the outcomes. How systematic is it? E.J.
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Hi Peter, This is really something in between a feature request and a bug report (for which we hope you will use our GitHub page, see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/). What is probably going on is that the default…
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Hi ftr, This is true -- you cannot save files to the cloud without paying. However, there is a workaround. JASP allows you to log into the OSF, and you can upload and download files from any directory there. So that's a loophole that might make the…
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The equivalence test assesses whether the confidence interval lies entirely within a specified interval of interest (say from -.1 to .1). JASP already provides the confidence intervals; the user can perform any desired equivalence test by simply che…
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Hi Jessica, JASP essentially implements the R package "qgraph". So you can check out the associated documentation online. Cheers, EJ
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Yes, that's correct, and an interesting difference between estimation and testing E.J.
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Dear Michif, Thanks. 1. As far as data editing is concerned, see https://jasp-stats.org/2018/05/15/data-editing-in-jasp/. 2. Resizing those windows is a good feature request. 3. The bug in the RM ANOVA is interesting; I'll direct the team to it. …
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The BF compares the predictive adequacy of two hypotheses: 1. H0, which says that the correlations in the sample are expected to be modest and near zero. 2. H1. When the width is small, this says that the correlations in the sample are expected to b…
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You could analyse both A and B together, and see whether you find an interaction in an ANOVA. The approach you propose (i.e., the use the posterior from A as a prior for the analysis of B) is appropriate if you want to test the hypothesis that B sho…
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Hi Charles, For the descriptive plots JASP uses a two-sided flat prior on the individual condition means. This means that, for this particular model and prior, the credible interval and the confidence interval are numerically identical. To obtain t…
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Hi Pete, Some additional thoughts: 1. The default priors were chosen to meet formal desiderata, see @ARTICLE{BayarriEtAl2012, AUTHOR = {Bayarri, M. J. and Berger, J. O. and Forte, A. and {Garc\'{\i}a-Donato}, G.}, TITLE = {Criteria…
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That is great to hear! And our upcoming version will offer a lot more. We are testing it out now. @Don: it is good to attend people to the interpretation of the coefficients (also for the paper you are writing). E.J.
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Don, the data set is from "punting", available under "Regression" at the JASP generic workshop materials on the OSF: https://osf.io/r73y9/
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BF_m quantifies the change from prior odds to posterior odds. Here I'd select "compare to best model" and then BF_01 for display, and you'll see how many times better the "openness" only model predicts the data compared to other…
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:-) It's not silly at all, of course. This stuff is very difficult. And even if it were silly (which it is definitely not), remember that it was the Leibnitz (!) who argued that the chance of throwing "11" with two dice is just as high as …
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Dear blindreviewer, The questions you raise (also in an earlier post) are of course highly relevant. The Rouder et al. paper is not an easy read, and it would be worthwhile to dissect the reasoning and the resulting performance much more than has b…
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Awesome!
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Well, there is this: http://www.softpedia.com/get/Science-CAD/JASP-Statistics-Project.shtml So I'm not sure what is causing this but I'm forwarding this to the programming team. E.J.
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This appears to be the case because of N. In the ANOVA case, you see that N=25 everywhere. For "descriptives", some N's are 27. So I assume that there are two subjects you have missing values for some of the conditions, which means that th…
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Dear TIA, Sorry, your question slipped through the cracks. One of our team members is revamping factor analysis and I'll forward this to him. Again, sorry for the tardy response. Cheers, E.J.
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Dear gvleioras, Sorry for the tardy response. Yes, you can do exactly as you suggest. For the second problem, you can also use loglinear modeling. If you analyze this using JASP the relevant tests should become available. Have you tried? E.J.
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Dear jpoll, So you have been using the "split" functionality but you would like to use multiple factors, is that correct? Right now you can only split either by gender OR by income class. If you want to split by both you'd have to create …
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Dear H., Yes, this is easily achievable, in two ways. For concreteness, suppose you want A+B+AB vs A+B. Method 1. Add "A" and "B" to the null model (under the "model" tab). Method 2. Use transitivity: if you already h…
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Dear GuillaumeC, Interesting question. It seems that the "controlling" variable really doesn't add much, and including it just incurs a penalty for complexity. Then again, there is an argument for including the controlling variable no mat…