jamovi

Good Day I have been trying to confirmatory factor analysis but after input of the variables the the error message pops up of infinite or missing value in 'X'. What could be the problem?

Regards

could you share the data set?

with thanks

Hi
I have the same problem - I run jamovi 2.0.0.0
(I am following the datalab.cc course (great!)

The exploratory factor analysis worked fine - but with the confirmatory factor analysis I received the "infinite or missing value in 'x'" (the Danish, however)

I was able to run the CFA in JASP with the same dataset, but would prefer to do all analysis on this data in jamovi.

Best wishes, Ralf

hi,

send through a .omv file with the error (either zip it up and attach it here, or email it to contact <at> jamovi.org)

without a reproducible example, we can't pinpoint the error.

cheers

jonathon

Hi,
Thanks! Sorry for my slow reply. The dataset contains research material - no person-sensitive-information though - is there a safe address I can send to?
Best wishes, Ralf

email it through to contact <at> jamovi.org

cheers

jonathon

Hi,
I have reproduced the error / problem when running confirmatory factor analysis in a new dataset - please see attached.
Thank you!
Best wishes, Ralf

Ralf wrote: I was able to run the CFA in JASP with the same dataset, but would prefer to do all analysis on this data in jamovi.

Hi, Ralf.
I use your data and if you take a look at the screenshot I am attaching to you, you have an answer as to why you got an answer from jasp and an error from jamovi. For continuous data with the Estimator ML, jasp by default as "Missing Values Method" passes to the CFA function of laavan missing = "listwise".
You can do this in jamovi by selecting the "Exclude cases listwise" option button.

Cheers,
Maurizio

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 included in the dataset as a mistake):
Or you can just choose the "exclude cases listwise" option (which will also remove these cases for this analysis).

Thank you @MAgojam & @Ravi !
I have just tried your suggestions - it works - you have solved the problem - thank you so much!
Thank you MAgojam for the screenshot and the explanation of the difference between missing value-handling in jasp and jamovi!
You are right Ravi, the 805 blank cases are there by mistake: I am still learning jamovi and I fumble a bit. But I am very happy with the software and I will definitely advocate for jamovi to colleagues
Best wishes and thanks, Ralf