jamovi

great, thanks for pointing to this
I had put it in the glossary before...

https://hosted.weblate.org/browse/jamov ... translated

cheers

Hi jonathon, the way I put in in weblate may be erroneous (did not use special characters - just square brackets for [chi-square] phrase) but the translations are correct. To be quite honest "chi-square goodness-of-fit" is currently translated as "chi-kwadrat test dobroci dopasowania&...

Hi, I would like to ask how often are translations exchanged for corrected ones? Is it only in stable versions? Or had I posted it wrongly on the forum @jonathon indicated? I did it about 3 months ago, several updates of jamovi since, but still I have to tell students (very happy to have jamovi to m...

Right. I was asking why ordinal data is not allowed - that is, the windows for selecting dependent variables for these tests (found under t-tests) does not accept ordinal data. I know this all is under t-tests menu, but it could be be e.g. independent samples t-test & Mann-Whitney). Similarly no...

Is there a method to filter multiple rows by number with one filter? e.g. ROW()!=25 works fine, but if you want to filter out many rows, can you do this in one filter? (e.g. ROW()!=c(25, 35, 33, 53, 23) does not work..) I only know that separate filters for every value work - cannot find shorter met...

Either "interval/ratio" or "quantitative" is formally better IMO ;) I would not count ordinal as quantitative, just as ranks. But interval/ratio is even better suited for beginners. Explaining why "continuous" means "quantitative" takes some time as continuous...

Is there a way to use Mann-Whitney (independent groups) or Wilcoxon (paired samples) for ordinal dependent variables? This is possible for Kruskal-Wallis, as the dialog box accepts ordinal data. Not possible for Friedman test, though. As I understand the only way is to redefine an ordinal variable a...

There is also a classic ANOVA option for one-way.
If there is no agreement on what to use for Welch's, then it needn't have one.

Hello, jamovi is great for intro statistics. The handiness of many options, e.g. assumption checks for tests within test menus is great. :relaxed: Normally for t-tests and one-way anova, it's easy to see descriptives including Ns for compared groups. Not so for (factorial) ANOVA - could it be added ...

That's true, Z-scores calculated for two groups separately eliminate the difference in variances which is present in raw scores and is the source of trouble.