Questions tagged [poststratification]

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What goes wrong with post-stratification if a combination of values does not exist in the sample? How to fix it?

This question is both about the "survey" package in R and about the mechanics behind it. I'm more interested in the mechanical reasons why this package fails to create weights when ...
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Post-stratification based on population distribution of age and sex in the census using R

My data did not have any stratified sampling and is a simple random sample, so I used the following: data.svy.unweighted <- svydesign(ids=~1, data=dat) str(dat) tibble [2,924 × 101] (S3: tbl_df/...
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How many poststratification cells is too many in MRP?

I am analyzing an American national public opinion survey using multilevel regression with poststratification. My sample size is 660. I was considering poststratifying on race (4 categories, white, ...
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Creating stratified subsamples from a sample (repeated observations) - Post stratification

I have a random sample of individuals in a country (without knowing in which province they live). From this sample I want to make stratified random samples on the provincial level (let's assume there ...
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Using Multilevel Regression with Poststratification to Adjust for Known Differences Between Sample and Population

I’ve read about the use of multilevel regression with poststratification to adjust for known differences between a sample and a population (see here for example). However, MRP seems to really be used ...
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Error estimates for the average marginal effects of poststratified predictions in R using lme4?

Several sources describe how to poststratify model predictions by re-weighting stratified model predictions from a dataset you have to a dataset you wish to predict for. They all describe how to re-...