EJ
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- EJ
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Comments
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BF simply quantities the evidence. On average, more participants means more evidence, but it is possible to obtain decisive evidence with few observations. The sequential analysis shows the evidential flow as the sample grows. E.J.
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Hi metamorphose42, Yes, you can use BFs. Opinions differ on what to make of this in case of multiple comparisons. I personally am in the Jeffreys, Scott & Berger camp, who argue that you ought to adjust your prior odds. Basically, they argue, i…
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Hi Julian, This issue is best dealt with on our GitHub page, so you can talk to the programmers directly. They will probably want to see your file too. Cheers, E.J.
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From JASP guru Bruno Boutin: "Sebastian is correct. On Ubuntu we use the existing R packages".
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I'm sure this will take some more time. I'll make an inquiry as to the current state of play. E.J.
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Ah, let me ask the team. E.J.
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Nope it won't interfere E.J.
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Hi Mieke, This is not (yet) possible in JASP, unfortunately. It is an important analysis. E.J.
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For an interpretation of the strength of evidence that a Bayes factor provides, see the cartoon here: https://osf.io/3acm7/
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Dear biopsy, The analysis assumes that the order with which the data arrive is given by the order of the rows. So the analysis is executed on the first n rows, where n is increased until the last row has been reached. The order with which the data …
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Dear FLPS, The interpretation is straightforward: nothing much is going on. The error % provides an indication of the numerical error of approximation relative to the size of what is estimated. The BF_M term compares prior model odds (0.063/(1-0.063…
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Dear HTIDCam, It might help us if you add the .jasp file and/or a screenshot of the error message. I will bring this to the attention of one of our team members. Usually Johnny would handle this but he's on vacation, so you might have to wait a few…
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Hi isakohrlund, From the perspective of Miller & Chapman, the problem cannot be overcome -- it is an inherent confound. I believe Pearl had a different opinion, but there's no easy fix. So at the very least it's prudent to issue a caveat emptor…
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Hi Isak, JASP assumes that every subject/unit is a row. So it assumes a "wide" format, not a "long" format. I've suggested on GitHub that we increase the priority level of including support for the "long" format. The wa…
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We're working on it (or I should say, a student is working on it :-)) E.J.
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Hi mrdata2017, I am not 100% sure I understand the question, but if you double-click on the csv data, your favorite csv editor will open -- just create a fourth column that equals the sum of the first three, press "save", and the JASP data…
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Yes, I think you're spot on. Cheers, E.J.
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Susanne, on GitHub you said that you resolved the issue. What was the cause of the discrepancy? Cheers, E.J.
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Hi Bill, Thanks. I will look into it, but I can already tell you that this will most likely be an issue with an R package. E.J.
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Courtesy of Erik-Jan van Kesteren, the underlying R code: v <- plotDat[plotDat$group == level,]$yquantiles <- quantile(v, probs=c(0.25,0.75))IQR <- quantiles[2]-quantiles[1]plotDat[plotDat$group == level,]$outlier <- v < (quantiles…
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I am not sure what outputs to compare, exactly, but I googled this problem and it has been noted a few times before. From what I see, most of the time the issue is rounding (!). For instance see https://stats.stackexchange.com/questions/113314/spss-…
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JASP uses the standard R code for boxplots. Typing ?boxplot in R gives the specifications. Outliers are values that extend beyond the whiskers. The whiskers depend on the argument "range". From the R documentation on "range": &qu…
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Hi Toc, I think Sebastiaan was not beging serious when he proposed "Baws" as a name. You might just want to describe what models you were averaging over to compute the inclusion probabilities. Oh boy, we do need that manual and some decen…
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At least (c) seems the other way around E.J.
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Dear cpaeye, Thanks! H0 is the model without any predictors; H1 is the model with predictors (which predictors are in H1 is indicated per row, so each row is a different H1). Some examples and explanations here: http://pcl.missouri.edu/sites/defaul…
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Thanks. We are working on it! E.J.
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Hi Eniseg2, The next version of JASP will have the option to put the best model on top as a comparison model, which will make all of this easier. With respect to your text, my comments inline: "Table 11 shows that the model which was most str…
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Hi Tcarsten, I have not tried MorePower 6.0, but I will say that for RM designs, there is a more recent paper by Masson that seems relevant: https://web.uvic.ca/psyc/masson/NM16.pdf In general, I think the problem with the model is twofold. First,…
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Hi Inge, From memory, yes. But if you want to know for sure you should drop Richard Morey an Email. Another way to check is to consult the BayesFactor documentation, or run the same analysis in JASP and BayesFactor. It is always best to check for y…
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Hi Duplex, I'll inform the team member who created the factor analysis. There were some earlier suggestions to document this better and expand on the functionality. I'll discuss this. Cheers, E.J.