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
Weights
Re: Weights
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.

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.
Re: Weights
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?
Re: Weights
If you use large integers (e.g., weights: 666666666, 333333333) won't that suffice?
Re: Weights
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
However, as a social analyst, it is very important to be able to implement weights using PLS float. Is it possible?
Thanks again