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patc3

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patc3
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  • for a mixed model the data need to be in long format, so it sounds like your data might already be in the correct format
  • I don't think this is possible in JASP no. In some cases you can get around this by using a different analysis (for example, mixed modeling in long format instead of repeated-measures ANOVA or latent growth curve in wide format), but you're often be…
  • Yes it's able to handle it. How many variables are you trying to run? Are you using the most recent version (0.95.2)?
  • no it's not a bug, the variable names are case-sensitive, i.e. the case (upper and lower case) needs to be exact. the variable names do need to be typed by hand when you use the SEM analysis. I should have spotted the erroneous variable names from y…
  • Then perhaps a problem with the data. If you're able to share the data you're using in the model (anonymized), i can take a look. (Either a data file or the jasp file itself)
  • @nfrank thanks, this is helpful, however I can't find the source of the problem, and I'm unable to reproduce the problem on my end. The JASP developers can help you when you create a new issue (bug report) here: https://github.com/jasp-stats/jasp-is…
  • Hi Nancy, based on what you've shown I'm personally unable to figure out the problem. Can you show screenshots of your entire input (all the checkboxes and everything in the analysis panel)? To me your data and your model syntax both look fine, whic…
  • Wow nice I didn't know you could change the variable type on the fly
  • You can track the issue here: https://github.com/jasp-stats/jasp-issues/issues/3681
    in JASP 0.95 Comment by patc3 September 12
  • Oof that does look like a bad bug, couldn't even make it work by adding numeric values in addition to labels... I'll make a ticket on GitHub on your behalf @kmkuo . Currently I think it's literally impossible to run logistic regression in JASP 0.95.…
    in JASP 0.95 Comment by patc3 September 12
  • You have to remove predictors from model 1 first, and then add them manually to model 2: https://i.imgur.com/vCArdDk.gif
  • From my point of view there doesn't seem to be any bug (just tested it). You write: "however, once predictors appear in model 0, they cannot be removed, or moved to model 1 again". Predictors in earlier models automatically and necessarily…
  • FIML doesn't impute data, so the chi square has the same interpretation (it is again a test of whether your model is able to reproduce the sample correlation matrix exactly)
  • Yes in Factor -> Confirmatory factor analysis, or via lavaan syntax in SEM -> Structural equation modeling
  • You are probably referring to versions 0.95.0 and 0.95.1. They came out about 1 month apart (end of July and end of August) and the new version currently available for download (0.95.1) has basically just bug fixes, so you should be good with the ne…
  • Example 1 seems to be interpreted correctly in the pdf you linked: (the "baseline model" in newer JASP versions, an apparent mistake): https://forum.cogsci.nl/uploads/466/JTTOBKOZQ3PQ.png the corresponding report: https://forum.cogsci.nl/…
  • No the documentation directly in the software when you click the i button next to the analysis name in the analysis panel (middle panel of the 3 panels) What's the problem with example 1 in the pdf you linked? The chi square compares your model to a…
  • No the error (if it is one) isn't corrected in 0.95 (the newest version). The chi square test of exact fit is almost always reported, so you should probably report it (look at other articles in your field to see what it commonly done). If the other …
  • OK yes I see the table header now, sorry. So I think writing baseline model there is an error, this is the user model, so what I wrote in my previous post still stands. This is a test that compares the correlation matrix implied by your model to the…
  • Can you show a screenshot for a bit more context? I'm in JASP 0.95 now and I don't see what you're describing in the output You can sometimes find info in the help file for any particular analysis: https://forum.cogsci.nl/uploads/680/EHA8VH2FN2J7.pn…
  • edit: never mind that's not it, I'm using 19.3 and I'm also unable to make sampling weights work This is probably not it, but there used to be a bug in SEM analysis where if you added a variable in your dataset after the SEM analysis was first creat…
  • yes more detail, and a more targeted/precise question, would be helpful
  • In the hamburger menu in the top left if you fo under Preferences then Interface, you might want to reduce the Zoom %: https://forum.cogsci.nl/uploads/083/YWUY15KYVCJR.png
  • In case it helps: To display frequency tables for nominal variables you need to go at the bottom of the analysis options under the section "Tables" and check the option display frequency tables. Also if this is about the descriptives modul…
  • So exciteeeed
    in JASP update Comment by patc3 June 22
  • Did you fix your problem yet? If not, I suggest you file a ticket on GitHub, the dev team is generally pretty responsive: https://github.com/jasp-stats/jasp-issues/issues/new?template=bug-report.yml (you need a free GitHub account) If you've updated…
  • There's several contrasts/post-hoc comparisons that might be of interest to you, notably: under Contrasts, you can pick "custom" and enter your own contrast coefficients (I think this is what you're looking for) https://forum.cogsci.nl/upl…
  • I think if you just change the "Value" entries manually to 0 and 1 instead of Male and Female, it might work
  • I think some of the comments here might help: https://forum.cogsci.nl/discussion/9659/how-to-transform-a-new-variable-in-jasp#latest
  • Previous versions are available here: https://jasp-stats.org/previous-versions/
    in network analysis Comment by patc3 May 23

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