EJ
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- EJ
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Comments
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In the current 0.16.4 the test reports "Statistic" (I presume this is the H-statistic, and if so I'll have it renamed). This is what is needed? E.J.
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Hi BJ89, What is plausible or implausible wrt priors depends very much on the application at hand. I experienced this glitch myself, but for me it was an OS overload -- too many other processes were hogging resources, and so the system could not ad…
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Hi BJ89, If you want to use an informative prior you can check out the papers on my website on prior elicitation, and the paper by Gronau et al. (https://www.tandfonline.com/doi/full/10.1080/00031305.2018.1562983). Should you specify an informed pri…
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In many JASP analyses you can set the seed in the analysis-specific GUI (usually under "Advanced options")
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Hi Mark, I am not sure either. I think it is important first to identify the desired statistical approach. Also, it seems to me that expression of negative emotion by the robots prompts people to show higher comfort levels? But I am not sure why the…
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Hi Erin, Some form of exploratory data analysis seems appropriate...maybe start by plotting the correlation matrix (plus scatterplots) and some regression analyses? Of course it is always better to go in armed with theory and some expectations... Ch…
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I am surprised that we don't test normality of residuals -- I'll check. Most of the other suggestions refer to time series analysis. We have a time series module under development and I'll pass on your suggestions! E.J.
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JASP implements lavaan syntax, so I think that your best course of action is to examine how the lavaan code would look (which is more of a question for a lavaan forum...) E.J.
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(a) No, but this is a popular misconception. We address it in this paper: https://psyarxiv.com/rqnu5 (b) In principle, even when you do estimation you can still take into account the fact that H0 is in play (see for instance https://journals.sagepub…
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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…