jamovi

Current research suggests that methods such as mean imputation for missing values produces biased estimates.

Are there modules in jamovi for implementing modern missing value techniques (multiple imputation or maximum likelihood)?

not to my knowledge. it would be great if someone would write one.

https://dev.jamovi.org

jonathon

I've only just seen these responses, having come up against this issue again. HUGE thanks all round!

hi,

as one of the previous users asked, i also want to figure out how to calculate the sum (score) including some missing data, ie including subjects with 1 missing item, but exclude those with more than 1 missing (but not do a mean imputation).
is there a function for this in jamovi?

alternatively, is there a way of making a count of the number of missing items for each sum score so i can write a "if, then" to exclude those with more than 1 item missing?
thanks!

if you take a look, you'll see that MEAN() can take a min_valid argument ...

so if you take the MEAN(A, B, C, D, min_valid=3) ... it will only provide a mean if at least three of those values are not missing.

jonathon

thanks for your quick reply!
yes, i saw in this thread that is is possible with the mean, but it is possible with other functions such as SUM and if so, how? (as we are not interested in the mean but the sum score of the items)

SUM() supports this too

[quote="jonathon"]SUM() supports this too
[/quote]

I started using this a while back, but you need to remember that the sum scores created here may not be comparable to others as they will be based on different numbers of trials/items included in the score. What you could do instead is calculate a pro-rated sum score by using the mean score (with the minimum valid qualifier) and multiplying this by the full number of items/trials that exist on the task.

Not a great workaround, but one that works...

Hi,

When I run Descriptives all my variables show missing value, but no cells were empty. Is something wrong with my dataset, How to solve this problem, and does it affect all the analysis?

Thanks

adearif132 wrote: ↑Wed Jun 28, 2023 7:05 am Hi,

When I run Descriptives all my variables show missing value, but no cells were empty. Is something wrong with my dataset, How to solve this problem, and does it affect all the analysis?

Thanks

At a guess, at one point you probably had 70 rows of data (maybe as a result of copy/paste?) and then cut this out, but jamovi still sees 70 rows in the data as the excess were not removed. Quick check - are rows 36-70 shaded differently?