EJ
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- EJ
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Comments
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I think this does make sense; you could make this a feature request 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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By adding more levels H1 becomes relatively more complex. The same happens when you quantify evidence for the null in case of data from a fair die. You can either analyze odds vs evens or analyze the uniformity across all categories. H0 will be more…
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I'll forward this to Koen, our expert for this analysis E.J.
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Yes, you can achieve this using the "edit image" option! See https://jasp-stats.org/2021/09/21/introducing-jasp-0-15-new-languages-basic-plot-editing-raincloud-plots-and-more/ Cheers, E.J.
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Right now JASP does not do imputation. We have it under development but it will take a while to get there. Without imputation you'd simply remove the incomplete cases -- not sure what else you could do. Cheers, E.J.
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Si se refiere a la invariabilidad de la medición, le sugiero que utilice nuestra funcionalidad de modelado de ecuaciones estructurales (lavaan). Ayuda a proporcionar un ejemplo concreto. (traducido con DeepL)
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Dear LuCA, Sorry for the tardy response. Indeed, 0.5 in the ANOVA maps on to 0.707 in the t-test, if I recall correctly. You can try this out by taking t-test data and analyzing it with an ANOVA. The problem with prior distributions that are overly …
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I'll forward this to our network experts... E.J.
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Note that for sensititivy/specificity and the like JASP offers the "binary classification" functionality, see https://jasp-stats.org/2021/09/28/binary-classification/ Cheers, E.J.
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Hello DrPRW, You can use the "compute new columns" functionality to center the variables. Maybe we ought to make this even easier. I am a little surprised that centering the variables would help actually. Johnny/Don? Wrt the link you gave:…
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This issue has been picked up in a different thread. E.J.
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I'll attend our network experts to this! Cheers, E.J.
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Thanks for the suggestion. It's on our radar! E.J.
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Dear Marti, Thanks for reporting this, I'll bring it to the attention of the programming team. Note that bug reports such as these can be issued directly through our GitHub page (https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/) an…
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In that case I'd add the main effects to the null model as nuisance factors, so they are always included (under "model").
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I'll forward this issue to our SEM expert. E.J.
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The book can be found at https://nl1lib.org/. I'll forward this issue to our ANOVA expert. We ought to mention something about this in the help file... Cheers, E.J.
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I don't think so. It would be a good feature request for our GitHub page (see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/) Cheers, E.J.
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I completely agree. This 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/) This way the request will not be forgotten. Cheers, E.J.
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Clearly an important issue, as this is a popular analysis. However, I recommend you post this as an issue on our GitHub page, as it will require the attention of the programming team. For details see https://jasp-stats.org/2018/03/29/request-feature…
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You mean when you do multiple t-tests? This is essentially how the post-hoc ANOVA tests work: they are the result of combining a t-test Bayes factor with a correction term that depends on the number of tests that are conducted. Cheers, E.J.
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You could check out some of the R code that goes with the 2013 book by Michael Lee and myself: https://bayesmodels.com/ (the later chapters are about Savage-Dickey Bayes factors)
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Hi Narcilili, The easiest way is the Savage-Dickey density ratio (see papers on http://www.ejwagenmakers.com/papers.html). Cheers, E.J.
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Hello Echo, I checked, and this has not yet been implemented. Maybe a good feature request for our GitHub page! Cheers, E.J.
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I forwarded this to our experts Cheers, E.J.
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Hi Emma, I believe you are in discussion with Richard. Can you let us know the outcome once the issue has been resolved? Cheers, E.J.
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This works for me: https://forum.cogsci.nl/uploads/338/5MT7DKROCAVP.png
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Yes I see it now! What you want is to use our brand new "raincloud plots". For an explanation see https://jasp-stats.org/2021/10/05/raincloud-plots-innovative-data-visualizations-in-jasp/ Cheers, E.J.
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I don't think this is a question for the JASP forum...
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You can click on the black "+" sign on the next column to bring up the interface. But first I would search for "compute columns" on this page: https://jasp-stats.org/how-to-use-jasp/ and check out the blog post and gifs. E.J.