jamovi

Hi Anne,
Yes this is indeed because all variables are centered before the analysis is run, see https://github.com/raviselker/medmod/blob/6f81b0fa009a97cf11c808f7ee561097e7c1310a/R/mod.b.R#L198-L201.

Cheers,
Ravi

Yeah, I started it a while ago but never finished it for some reason (See, https://github.com/raviselker/manytee). But in this module, all comparisons are done and you cannot just select the ones you are interested in.

Yeah, the partial correlation calculates the correlation between the variables in the "Variables" box, with the variance from the variables in the "Control Variables" (semi) partialled out. So you'd always have to add at least two variables to the "Variables" box. I'm c...

I created a PR that implements factor scores for EFA, see https://github.com/jamovi/jmv/pull/330

Hi, Earlier this year we changed the way we calculate the estimated marginal means (on which the post-hoc tests are based) as per recommendation of the author of the package we use to estimate the RM ANOVA: https://cran.r-project.org/web/packages/afex/vignettes/afex_anova_example.html. It now uses a...

Hi, Earlier this year we changed the way we calculate the estimated marginal means (on which the post-hoc tests are based) as per recommendation of the author of the package we use to estimate the RM ANOVA: https://cran.r-project.org/web/packages/afex/vignettes/afex_anova_example.html. It now uses a...

Hi Emma,
At the moment the question to all your questions is "no", but you can always make a feature request on our github page: https://github.com/jamovi/jamovi

Cheers,
Ravi

Hi! The EFA uses a pearson correlation matrix indeed, and there's no way to use a polychoric correlation matrix at the moment. We use the psych R package to compute the EFA results, and I'm not sure it's possible to use a polychoric correlation in the function provided in that package.

Hi, Yeah, the problem (in the example data) is that you have 805 completely missing cases at the bottom of your spreadsheet, and the default full information maximum likelihood (FIML) estimator cannot handle this properly. So you can either delete/filter out these cases (as I assume they are include...

The name of the palette is also accessible through theme$palette which you can pass on to the jmvcore::colorPalette function as follows (where n is the number of colors you want, and type whether you want the fill or color palette): jmvcore::colorPalette(n=2, theme$palette, type="fill")