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you can do it "manually" in the SEM analysis using lavaan syntax
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@TarandeepKang Cool! Great idea, I personally would love to see this arrive in JASP
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Yes under the module Mixed Models then Linear Mixed Models, in fact all random slopes are specified by default (for better or worse): https://forum.cogsci.nl/uploads/587/CZZR8ZOUX8NV.png
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Go in the R console in JASP (you might have to add the module), and type: 1-pchisq(39.16,1)
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AgeM =~ Age Price =~ PP1 PastUseM =~ PastUse at a minimum I'm guessing you have a problem with these 3 factor definitions, as these are phantom constructs, and I can't imagine this is the right syntax for them (specifically, you probably need to add…
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I am aware that I could map numerical values to my categories given they are ordered and use other methods (e.g., K-means or density). What would be the limitations of this approach (any further reading appreciated) as this is a statistical questi…
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I remember seeing "end of June" somewhere? maybe I'm imagining
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Can you show a bit more please
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@Pedro_Rosa that's interesting. It does look like the mediation analysis simply standardizes the variables in order to obtain the standardized estimates, whereas the SEM module presumably obtains the actual standardized estimates. I'm not sure why t…
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Thanks Jana, your post is very clear. Yes let's see what they say, I'm curious as well.
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@Jillgillissen of course you need to provide many more details to get help... what does the file look like, how did you export it from excel to import in JASP (JASP doesn't open Excel files), etc.
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I think it might be worth it to let the developers know by creating a ticket on GitHub here: https://github.com/jasp-stats/jasp-issues/issues/new?labels=Bug&template=bug-report.yml&title=%5BBug%5D%3A+ (you need a GitHub account) If the link …
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This is entirely normal, and that happens for at least two reasons: in the first analysis you're also using the information from the treatment group to estimate the within-group variance (in this case, the variance of scores at the 3 time points); t…
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That's because JASP has the very, very bad default behavior of including all possible interaction terms as both fixed and random effects. Under Model on the left, remove all terms with a star in it, especially from the random effects box. You might …
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Some of your variables in the data view are ordinal instead of scale: https://forum.cogsci.nl/uploads/745/S3C9IQSSVQ2P.png Click on the icon: https://forum.cogsci.nl/uploads/929/H9MQ77XZJC7Y.png Select scale: https://forum.cogsci.nl/uploads/634/UA8E…
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Create a new variable that combined both IVs (i.e. a single variable to indicate which cell of the design the person is in)
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I don't know your data but the syntax looks fine, what error do you get?
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For SEM, assuming you're treating your variables as numeric (scale/continuous), this has to do with full-information maximum likelihood (FIML) estimation, which is the default in JASP. If variables are so sparse that it doesn't run, you'll know. Th…
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So basically one is standardized and the other isn't?
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Can you click Stack trace to show the trace of the error? I just tried process model 4 with my own data, and it worked.
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H0 should match the sample mean of the dependent variable, it's simply a regression with only an intercept as predictor. H1 is your model with your selected predictors, in that case the intercept is interpreted as the predicted value on the dependen…
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In the analysis panel under model options you should be able to add and remove model terms https://forum.cogsci.nl/uploads/179/5QDBYJH4WK9E.png
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Now that you mention it, I'm definitely having the same problem with a big file (a lot of computed vars and a lot of analyses) produced with version 18.0.. just loads indefinitely in 18.2, never opens. Oops :|
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Are you able to share your original file (which contains your data)? I personally don't know what the problem could be without additional info, I haven't had problems opening 18.1 files in 18.2 (I'm using Windows)
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You might find it easier to test this through the ANOVA analysis https://forum.cogsci.nl/uploads/573/L4BTR39BAHVM.png If you want to add numeric predictors as well (which you don't have at the moment), then use ANCOVA instead of ANOVA.
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There's no robust vs non robust bootstrap; the choice is between 1) standard SEs, 2) robust SEs, and 3) bootstrap SEs. What bootstrap does is it randomly picks observations from your sample, runs the model, saves the parameter estimates, and repeats…
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Yes the difference is how the standard errors are calculated, and no it's not using bootstrap unless you check the box
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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…