EJ
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- EJ
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Comments
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Dear Lewend, Can you give the specific numbers for the test? And your H0 is p = 1/3, right? Cheers, E.J.
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JASP does not yet do propensity score matching; it would make for a good 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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(a) the median and 95% CI indicate the strength of the effect, assuming H1 is the best model. (b) they summarize the posterior distribution (i.e., the Bayesian estimate) for standardized effect size, which is mu/sigma (i.e., the population version …
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I'll ask the experts... E.J.
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You'd have to add that prior model probability yourself. We have it implemented under our ANOVA posthoc tests, but that is a specific scenario that does not apply exactly here. Once you have the prior model probability p, you transform that to a pri…
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I'll check to see whether there has been any update on this... E.J.
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I guess we should provide a more informative error message. I suspect that one of your factors is really a variable with many "levels", can that be the case? E.J.
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Hi Carolien, I've gone back and forth on the BIC as well. My current thinking is that *is* reasonable as a point of reference, and especially appropriate for default analyses that do not commit to a strong prior position. For instance, I assume that…
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Hi Chris, I think you are spot-on! It is easy to specify the data that will yield the maximum evidence for H0 (t=0, n/s = 1/2, etc.) One would still need to specify an alternative, but the default choices would be fine here, because they tend to be …
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Hello Robert, For the Bayesian result the t-value and the n are sufficient (so in the Summary Statistics module you can obtain a complete Bayesian analysis just from the t-value and sample size; access to the data would not change the inference). So…
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Good question! I don't have concrete advise, but I think you could use any book almost. If it does not discuss software, fine; if it discusses SPSS or R -- also fine, as it should be straightforward to get the relevant results from JASP. Others may …
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Good question, I am not sure what is done. I'll ask. Cheers, E.J.
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Thanks, I'll pass this on. Cheers, E.J.
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Mystery points huh? I'll forward this to the team, Cheers, E.J.
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That should be the case; see also https://jasp-stats.org/2020/03/12/mediation-and-moderation-analysis-in-jasp/ E.J.
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For others who may land here: in the meantime this was addressed at https://github.com/jasp-stats/jasp-issues/issues/1844 E.J.
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Hi CSperber, As you discovered, it is much easier to find evidence for the presence of an effect than for its absence. Basically, H0:delta=0 can win the competition only because it is more parsimoneous than H1 -- but there are values of delta under …
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Hi Katharina, I am not sure how your question relates to this tread :-) However, we do have a recent paper submitted on this topic: https://psyarxiv.com/fb8zn/ Cheers, E.J.
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Hi Georgos, My main advice is twofold: Be very careful. It is easy to explore the data with all kinds of tools and fool yourself into "detecting" a pattern. I would use simple visualizations to see whether I could detect separate groups by…
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Thanks. I see that we can replicate the problem. I hope we can solve it soon. E.J.
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Hello wnk4242, Yes, both are BFs based on all the data. Yes. Yes. Usually the question is whether the original study is sound. In that case you may wish to use the original data to construct a proponent's prior and contrast that with the point prior…
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Strange, because we are running lavaan in the background. Could you post this issue on our GitHub page, so the team can address it? For details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/ Cheers, E.J.
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Have you confirmed that your matrix is positive-definite? E.J.
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That should not happen. What version do you have? This is something for our programming team -- if you post this on our GitHub page the team can assist you. For details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/ Cheers, …
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Is the order perhaps alphabetical? E.J.
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Hi Ravi, The relevant blog post mentioned in the help file (https://jasp-stats.org/2017/11/15/meta-analysis-jasp/) says: "(For instance, Ι2 expresses the excess variance as a percentage of the total variance observed in the effect size estimate…
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With respect to the instabilty: this is typical of *all* MCMC techniques -- so also for estimating the posterior mean of a parameter, say. With respect to the bias: I have not encountered this as a problem (again, this concern seems to hold generall…
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The BAS package in R also offers logistic regression with JZS priors, but because the likelihood is different the precise implementation will differ from that of linear regression. If you want to know more I'd advise you to check out the BAS documen…
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Dear wnk4242, I am not sure what you mean with "stability and accuracy", but note that a more recent paper on the topic is here: https://link.springer.com/article/10.3758/s13428-018-1092-x Another one that may be relevant is here: https://…
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Dear Guillaume, These look a little unusual indeed. For the first graph, it is strange that the BF hardly changes from 1 until after about 400 data points are in. What sometimes causes these graphs to look strange is that the first n rows feature on…