jamovi

Thank you so much Yuri! Complete variables sounds better. If you want to add more clarity to your module, I would suggest to write some instructions/documentation and show it as the user loads the module. The module jReshape is a good example.

Thank you for your work

This is a translation of the R module missr in jamovi Thank you so much for your reply Yuri! If you allow me one more question: I used this package in R-studio and it doesn't ask me for a "training variable". Could you please clarify why we need a training variable for the Little's test i...

Thank for this update. I came across this module and I am very impressed!

Can someone kindly clarify what tests are being performed under the hood in the missing values estimation (MAR/MCAR)? I cannot find any documentation on that and it doesn't seem to be Little's test. Thanks!

Hi Maurizio, again, thank you so much for your kind explanation. I spoke with my lab statistician, and it seems that indeed the difference is between the sums of squares. Because MANCOVA results were so contradicting, we decided to run another analysis. If allow us to offer a modest suggestion: We t...

Hi MAgojam, thank you so much for your answer. I have to discuss this with our statistician and I will get back to you. For us, it is really important to understand this because this is the difference between rejecting the null hypothesis or not, which completely changes the interpretation of our st...

Hi Jonathon, I think we figured why this is happening. First, we ran the same analysis in stata. We got the same result as SPSS. Then we searched over the internet, and we found out that the order of variables matters in R. Covariates should go first in R code for ANCOVAs, please see this link: http...

Hi jonathon,

thank you for your response. Maybe it is a problem in R...?

Best,
Gabriel

Hi everyone, I have conducted a MANCOVA analysis using 4 DVs, 1 IV (of 3 groups), and 4 covariates. The overall result of the IV effect that I get on jamovi is F(8,1220) = 3.34, Wilk’s Λ = .958, p < .001. However, a student decided to run the same analysis on SPSS and her result was different. The o...