jamovi

jamovi 2.4.0 has support for weights. Please, any ideas on how to use the weights feature? The weight icon is under the data tab
Thanks to the jamovi hard working team for adding this feature

tahidus wrote: ↑Mon Jul 10, 2023 11:22 pm jamovi 2.4.0 has support for weights. Please, any ideas on how to use the weights feature? The weight icon is under the data tab
Thanks to the jamovi hard working team for adding this feature

+1 !

I really am very happy about the weights function - thank you very much for implementing it!
We use it, if the sample structure slightly differs from the structure of the population at some predefined variables (e.g. age, sex, education, place of residence). This is intentional with disproportionate samples. However, the deviations can also occur unintentionally due to various biases in the sampling process.
And within academic lectures on market research / data analysis it is very useful to show the effects of structural nonconformity.

Its absolutely great to see that JAMOVI supports case weights now. However, to see that only integer weights are possible is really a drawback, because this means that only very rough reweighting is possible. In survey statistics, design or redressment weights are usually floating point values (since you try to keep the reweighting factor as close to 1 as possible) and I look forward to see this working in JAMOVI too. Is there any planning or perspective to add this functionality?

If you use large integers (e.g., weights: 666666666, 333333333) won't that suffice?

First of all, thank you very much for implementing the weights function. It would be very useful.
However, as a social analyst, it is very important to be able to implement weights using PLS float. Is it possible?
Thanks again

the descriptives in the 2.6.44 supports non-integer weights.

jonathon

Thnak you very much. It's very useful, it's very important for social analyst.
Would it be possible to implement it in more modules?

Thanks again

Hi Jonathon

Thanks you so very much for implementing weights. When doing descriptives I noted that there is a message indicating that not all statistics support weighted data and those statistics output NaN as a result. Are these statistics still on your radar, e.g., percentiles?