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Questions tagged [poststratification]

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Appropriate way to use post-stratification weights when running statistical tests SPSS

I have used Complex Samples in SPSS (and SUDAAN in SAS, Survey in R) when working with survey data that were collected using a sampling design that was not random. For example, when an oversample was ...
Brett Wyker's user avatar
2 votes
1 answer
37 views

Post-stratification with missing subpopulations in the survey

I have some survey data on a population described by age, gender, and weight. It’s quite skewed so I want to reweight it to a known target population (a larger ...
cgreen's user avatar
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Is it appropriate to pre-stratify and post-stratify along different delineations of the same variables in a single survey?

I am working in the context of opt-in, web-based surveys. Often the desire is for accurate population estimates, and often at a country-wide level. The standard approach at this organization is to ...
spathartic's user avatar
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0 answers
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Stat Sig for stratified sampled results of an experiment

I am new to using stratified sampling for variance reduction on online experiments and I was hoping to get some directional insights. I have a the result of an online experiment with following ...
Hannah's user avatar
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Stratified sampling where observed values vary with strata inclusion

Problem set-up: Let's say I make $n$ observations of a numerical-scale variable, $x$, where each observation can be cross-classified into $L$ strata. Each observation may belong to anywhere from 1 to $...
a crab's user avatar
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3 votes
1 answer
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Is post-stratification inherently non-Bayesian?

It is increasingly common to employ regression with post-stratification. Since probability-weighting is incoherent in Bayesian inference (thus why sampling/survey weights and weighted psuedo-...
socialscientist's user avatar
1 vote
0 answers
14 views

Poststratification and estimation

I have a dataset about corn farmers in a certain region with informations like farm size, mean cost per planted hectare, number of employees, etc. Furthermore I also have from another source an ...
R. Cowboy's user avatar
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2 votes
1 answer
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Bootstrap to get sampling variance with finite population?

This question is obviously similar to Suggestions for estimating variance in finite population with bootstrap?, but I'm asking about a different approach. I have a (very finite) population of size N=...
kqr's user avatar
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1 vote
0 answers
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Questions regarding Post-Stratification and Imputation

This is my first try in making a reproducible sample, so I hope it goes well and is comprehensive. Based on a (German) survey among young people of Generation Z, I ask: Does volunteering have a ...
Blattla's user avatar
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1 vote
0 answers
203 views

How to deal with post-stratification weights in regression settings?

I'm given a longitudinal (i.e., panel/repeated measures) dataset with 2 periods and individuals serving as clusters. The response variable is whether a person would support a healthcare bill, so it is ...
Tan2525's user avatar
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1 vote
1 answer
885 views

Using R survey package to rake with missing data

I have some survey data and would like to address non-reponse bias by raking on 3 demographic variables for which I have decent population estimates from the American Community Survey. The problem I ...
derNincompoop's user avatar
3 votes
1 answer
879 views

Raking with strata using R survey package

I have a survey design with 12 strata and have the marginal distributions of the post-stratification variables for each stratum. I am calling the rake function in the ...
derNincompoop's user avatar
1 vote
0 answers
234 views

How to weight samples in a subsample of a stratified sample?

Suppose I'm first interested in computing the percentage of people in a certain town with brown eyes. However, due to some constraints I end up with the following stratified sampling set up: $$N = ...
m55667's user avatar
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1 vote
1 answer
1k views

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 ...
Tea Tree's user avatar
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0 votes
1 answer
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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 ...
Tom's user avatar
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1 vote
0 answers
26 views

Randomized blocking "after the fact"

I have 5 treatments that I'm going to randomly assign to visitors to my website. I'll have 10,000 or more visitors. Is it statistically valid to analyze the results based on visitor characteristics ...
Jim Cutler's user avatar