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using sampling design data files (SDDFs) #40
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@djhurio you are absolutely correct, the design weights are simply In any case, I have more trust in the design weights that are included into the data sets, then using The post-stratification weights are a different matter, but nonetheless they are based on the design weights found in the data set, not the SDDFs. |
Yes I would be more than happy to share the summaries on key variables of the sampling designs. Also, the SDDFs that are requested by the ESS from the countries contain much more (useful) information, especially for variance estimation, then the versions that are published on the website. Maybe there is a way to make use of this information. |
@BernStZi, thanks a lot for this explanation! However I do not fully agree with you regarding the design weights. What I have learned and I have always assumed is that designs weights are derived directly from the sampling probabilities. Namely,
dweight
should be equal to1 / prob
. The name of those weights indicates that those weights are purely derived from the sample design.I agree that design weights can not be applied in case of non-response. Well, you can, but better results can be gained by applying the so called non-response corrections on weights. This is a usual practice. However, those corrected weights cannot be called design weights, as they are derived taking into account extra information which is more than sampling design is providing.
Originally posted by @djhurio in #9 (comment)
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