patc3
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Pretty sure you can't do RM manova in JASP currently. I'm not on my computer right now--is there a way to specify the error term manually in the MANOVA procedure? Is there a box for random factors? If yes to one of these two questions, you might be …
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What you can do is create a new variable that is the combination of several grouping variable, for example using edit data > insert column using R code: paste(gender, agegroup, sep="_") This will create a variable that's the combination…
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OK I could reproduce your situation with a dataset that ships with JASP in the data library (14- SEM: Grade point average): https://forum.cogsci.nl/uploads/961/6XL1RZYCHRJ7.png I did a little bit of digging by running the same analysis directly in R…
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No it's not because the assumptions are not met. Can you show a screenshot of your analysis and your output?
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Actually you're not sending me emails, you're responding on the ticket you made on GitHub 🙂 https://github.com/jasp-stats/jasp-issues/issues/2476
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Unfortunately I don't think there is a way to do this from within JASP currently. In Excel I suspect you could achieve this with the vlookup() function, and in R (if you're familiar with it) you could do it in just a few lines using the full_join() …
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Most people treat it as scale.. Actually the opposite (treating a Likert scale as ordered) is quite rare. My guess is they treated it as scale, in most software a Likert scale is treated as scale by default (R, Mplus), but JASP distinguishes betwee…
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No it's not possible to use FIML with ordered predictors in JASP (or in the R library lavaan, which JASP uses in the backend). Are you sure the article you're replicating treated them as ordered and not scale? My best guess reading your post is that…
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In the "advanced" tab, you can set missing data handling to "listwise". The default (FIML) only works if all your variables are scale. It doesn't work with ULS.
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thanks EJ I sent the email
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How do we become testers?
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wowowow 😍😍😍 I hadn't seen this
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JASP is just exceptional... I constantly introduce profs and students to it and usually they stick to it. I too have begun using it alongside R (which used to be my only tool).
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perhaps you're looking for "heatmap"
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I believe the p-value will match exactly that of the regression coefficient, as they are "semi-partial" effects themselves (i.e. unique variance only)
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FYI if I recall correctly linear regression is said to be "robust" to violations of the normality assumption, meaning that even when it is violated the coefficients and their hypothesis tests are OK. (This is unlike the homogeneity of resi…
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You need to remove the first row of your data (it all says "response"). All your variables will be text. In general (JASP and other statistics software), the first row is the column names, all subsequent rows are values. Now it's like you …
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You absolutely can, under Statistics, check "Multicollinearity Diagnostics": https://forum.cogsci.nl/uploads/331/6SCR7M17XPDF.png Also, because the VIF/multicollinearity doesn't depend on the dependent variable, you could also get the VIF/…
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The variance-covariance (or correlation) matrix need to be in your data. You can try running R code from within JASP, but you need to do this through the R Console module, not in the analyses like you did in your screenshot. But the simplest is sim…
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Where did you find info on this? Also I don't think you need to change the syntax manually...
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I don't see it in the issues... Do you still have the link? Otherwise I can make another issue... But is this supposed to happen or not? Seems odd to limit the number of columns (to 1000 anyway)
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anyone?
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Wow, I imported a CSV file with 1000 columns it failed (same error), I imported a CSV file with 999 columns and it imported correctly... Why is there a 1,000-column limit, is this by design or is this a bug? Does it do this for any types of imports …
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See my response here (with gifs): https://forum.cogsci.nl/discussion/comment/27485#Comment_27485
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The method is the so-called "product of coefficients" approach: https://psycnet.apa.org/fulltext/2002-00925-005.pdf MacKinnon, D. P., Lockwood, C. M., Hoffman, J. M., West, S. G., & Sheets, V. (2002). A comparison of methods to test me…
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PLS SEM isn't the same thing and doesn't use lavaan (it's got different syntax). If you want to use PLS SEM (which I'm not sure why you would) then look up syntax for cSEM library in R, that's the library that JASP uses.
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Yes you could copy paste lavaan text from mediation and put that into SEM.
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It's not using Baron & Kenny. I don't know what the Hayes approach is--what the approach used is is what I think to be the MacKinnon approach, i.e. you multiply the a and b paths and test for significance (the product approach). That's the stand…
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ouuuuuh I didn't even realize there was a difference between medians and medoids! interesting
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In the meantime, you can create as many intermediate variables as you need to reach the final result, e.g.: var2 = ifElse(var1 = 0, 0, 1) var3 = ifElse(var2 = 1, 1, 2)