jamovi

Hi RandomGuy, No, at the moment the standard analyses don't let you use weighted data. So we're trying to keep analyses as simple as possible, while still being complete. I know that SPSS lets you use weighted data, and I've been thinking about adding it to jamovi but I thought that it's not used th...

Hi Gavin, Yeah, we would love to have a SEM module, preferably in collaboration with some SEM experts. Unfortunately, our time (and expertise) is limited, so our goal is for the community to step in and create these missing pieces. We're always happy to guide people through the process though, see f...

So I checked what's going on here, and it has to do with how we set up contrasts (so no bug). At the moment we set up contrasts in such a way that the intercept represents the grand mean. Not sure anymore why we did it this way though, have to look into this a bit more before deciding whether we sho...

Hi david,

Can you attach the .omv file where this happens?\

Cheers,
Ravi

Hi Martina,

At the moment CFA only supports continuous variables. But you can make a feature request over here (I think it's a good idea to support ordinal and binary variables): https://github.com/jamovi/jamovi/issues

Cheers,
Ravi

Hi, 1) Which version of jamovi are you using? Because we corrected the way we calculate eta^2 a couple of months ago (and we temporarily removed the omega^2 option). 2) If you make an issue on github, we can have a look. You can make an issue over here: https://github.com/jamovi/jamovi/issues. Cheer...

Hi Manuel, 1. Not that I'm aware of, I know there are a bunch of unpublished modules out there but nothing in the jamovi library 2. Yeah, this module was never committed to us so it's not available (yet) in the jamovi library. It's probably best to contact the author: https://github.com/stmueller/MT...

But it does match the R result you calculated using 'factanal' now right?

Hi David, So by default we use "Minimal Residuals" as the factor extraction method (just like the R package "psych" that we use in the background). However, "factanal" uses maximum likelihood as the extraction method. If you change the extraction method to maximum likel...

This paper explains why in EFA you can have negative eigenvalues, while in PCA you can't: https://pdxscholar.library.pdx.edu/cgi/ ... health_fac