EJ
About
- Username
- EJ
- Joined
- Visits
- 2,557
- Last Active
- Roles
- Member, Administrator, Moderator
Comments
-
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…
-
Hi Jessica, JASP essentially implements the R package "qgraph". So you can check out the associated documentation online. Cheers, EJ
-
Yes, that's correct, and an interesting difference between estimation and testing E.J.
-
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. …
-
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…
-
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…
-
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…
-
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…
-
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.
-
Don, the data set is from "punting", available under "Regression" at the JASP generic workshop materials on the OSF: https://osf.io/r73y9/
-
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…
-
:-) 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 …
-
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…
-
Awesome!
-
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.
-
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…
-
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.
-
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.
-
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 …
-
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…
-
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…
-
Dear Ester, Perhaps you only have fixed effects, in which case I'd just report those. The ANOVA priors were proposed by analogy to the t-test; if you conduct a between-subjects t-test with the default r=.707 setting you ought to get the same result…
-
Hi Kazimiera_Worf, Yes, absolutely! Cheers, E.J.
-
Dear Mvs, Depends on what you mean with "hierarchical regression". Usually this means that you can add predictors in batches, and assess whether the new batch of predictors ought to be included. And yes, our linear regression functionalit…
-
Yes, that's correct. E.J.
-
Hmm I'm not sure. Before I attend the author of this module to your question...have you seen the JASP blog post on this module? https://jasp-stats.org/2017/11/15/meta-analysis-jasp/ E.J.
-
Re effect size: this is not straightforward (I think). There's a paper with Maarten Marsman that is currently somewhere in the review system. We need to polish the Bayesian ANOVA anyway in order to show parameter estimates. We'll take the effect siz…
-
Hi Tom, The Bayesian ANOVA (it is really a linear mixed model, see the BayesFactor documentation) makes the same assumptions as the classical ANOVA. We just have not developed the Bayesian echoes for those assumption tests (yet). We will do this in…
-
Hi Nils, Yes, your interpretation is correct. The analysis of effects model-averages across a range of models. You could also look at the standard table and compare the the full model with the model that includes only the two-way interactions. Plot…
-
Yes, but BF10 = .2 is more difficult to interpret than the mathematically equivalent statement BF01 = 5. you can report that there is evidence for H0, but the table indicates how much -- it matters whether BF01 = 1.5 or 8. If you want to summarize t…