julius
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He is not responding, sorry.
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Ah cool. Unfortunately, that is also not my module. It could be Maltes. Let me ask him.
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Apologies, I was on holiday and this one slipped through. How did you run a BSEM model in JASP, using JAGS? Because the SEM module does not have the functionality. If you used JAGS, I dont know if anything changed, someone else is responsible for th…
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Hi, I apologize for the delay in response. Even though I did not construct the analysis in JASP myself, I think the ICC analysis offers what you re looking for when the ICC(3,1) is reported. According to the underlying R-package, the ICC-types are …
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Hi, unfortunately, we are relying on an R-package that automatically plots these models but which does not allow resizing or meaningfully changing the plot. Since, there is not really any other viable option out there, I cannot offer you more advice…
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There is a fix coming to the next release version of JASP.
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okay, so the issue is that some variables are range restricted. These are KOM20, KOM25, and KOM31. They only have scores of 0 and 2, not 1. The underlying R package (psych) assumes that they are binary, but at the same time also assumes a binary var…
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Hi, You are right, it should in theory work for ordinal variables with three categories. Could you share your data set with me, so I can look into it? You could email it to issues@jasp-stats.org. Julius
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Hi Cristianne, at a first glance I cannot see anything wrong with your syntax. Could you share your data perhaps? Then I could be of more help. One thing you might try is the latest released version of JASP. In there, I have made some changes so er…
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I do not have a reference, that is just my experience. My paper here does show that the PFA-based omega yields accurate results for point estimation as well as intervals with non-parametric bootstrap https://doi.org/10.1080/00273171.2021.1891855.
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Hi Nikos, so in order to find the reliability, one approach is to estimate a common factor underlying the variables. CFA and PFA are two different ways to estimate such a factor. In practice, which of the two you choose will make little difference,…
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Hi, Tarandeep is absolutely right. Thank you! We do not do the normalisation, but we plan to add the option to apply it. Best, Julius
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I am quite confused. Can you share your .jasp file? Have tried running all this in R? Are the results then different from JASP?
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Hi, regarding question 1) What is the syntax you put in? Without it, I can't be sure what is going wrong. Question 2) What do you mean with non-linear data? Question 3) Yes, can't handle missing data, that is, cases with missings are deleted befor…
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Exactly. We have had a discussion with Klaas Sijtsma about this, and we came to the conclusion that through the standardisation differences in the variances are lost. It is true however, that we offer standardised alpha - because it is somewhat of a…
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Hi, the difference stems from the psych package in R using the data correlation matrix to find the factor loadings to compute omega, and in JASP we use the covariance matrix, because we deem it more informative. Julius
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Hi Carmen, you are correct, that there is a mismatch and we have already had a spirited discussion about this https://github.com/jasp-stats/jasp-issues/issues/2418. So far these are the eigenvalues of the correlation matrix, but in the table that is…
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Hi Rama, I think without your data I cannot find out if there is something wrong with your code. It looks fine on a first glance. In any case, this seems more like a GitHub issue https://github.com/jasp-stats/jasp-issues/issues/new/choose. It would…
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Hi kmkuo, that is a good question. So far the measures you mentioned are not implemented in JASP, but they do exist for PLS-SEM and it should not be too hard to implement. I have added your request to this issue https://github.com/jasp-stats/jasp-i…
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Hi gvt, what do you mean by "non-parametric" data? Binary data? Or ordinal data? Or data that follows no clear distribution? Julius
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Hi CineSeriesly, I am not quite sure I understand. In order to help I need more information. What exactly do your two data sets look like? You have the same subjects rated by different raters but then in two data sets? Or do you just want to the s…
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Hi gvt, So far you cannot get the standard error of measurement in JASP. To obtain a single value for the sem you could transform the reliability, that is, sem = sd(sum scores) * sqrt(1-rel). I dont know about the confidence interval though. Julius
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Hi, there is an open pull-request for the HTMT and AVE for the SEM module https://github.com/jasp-stats/jaspSem/pull/143. The CFA module already offers these. So basically, for SEM the code is there, it just needs to be reviewed and then merged and…
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And given that there was this bug https://github.com/jasp-stats/jasp-issues/issues/2260 you might not reproduce this as the checkbox for disattenuation has no effect in the current JASP version; it is always set to TRUE.
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Ah, so that was longer detective work than I anticipated, given that the issue is kind of obvious :) But in short, the issue comes from setting "disattenuate = TRUE". In your R code you have disattenuate = FALSE, which makes the code run s…
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you are correct. It is quite slow in JASP. I will look into it. May I have your permission to transform this into a GitHub issue?
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Hmm, I agree that JASP will likely be slower than cSEM in R given that there is a bit of overhead with any analysis. I wonder if you can quantify the difference? Or might you be able to share the dataset so I can look into it? Best, Julius
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Hello, I can think of two reasons your analysis is slow: (1) You chose the bootstrap option in the estimation options, that means the analysis runs on 200 data sets, given that the number of samples is specified as 200 in your screenshot; changing …
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I know fairly little about PLS-SEM, but without the data set there won't be much any of us can do to find the error. It would help a lot if you could create a GitHub issue: https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/ and uplo…
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Hi @hongenggoh, thanks for the suggestion indeed. What you touch upon is quite a controversial topic among researchers. It is of course correct that reliability is no quantification of unidimensionality. The term "Unidimensional Reliability&qu…