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Questions tagged [poststratification]

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Do replicate weight, when the are available, supersede all the design-based procedures and analysis?

If the agency that conducted a survey and releases micro data at the individual or household level also supplies replicate weights for that sample, do these weights completely supercede any need or ...
andrewH's user avatar
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4 votes
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Double poststratification in a two-stage cluster design

Say we have a country divided in 100 municipalities. Within each municipality, the population can be categorised into 10-year age groups and the population size of each group is known. A two-stage ...
LBogaardt's user avatar
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Multilevel Regression and Poststratification (MRP) weighting in the opposite direction to Poststratification alone

We are using MRP to derive test norms for an IQ test (Culture Fair Test, CFT) based on the TwinLife data. We adjust for age, sex, education, and migration background. Although a probability sample, ...
balout's user avatar
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How to calculate weighted mean when your sample is unweighted, but you know your population

Lets say I have the following sample data. ...
quant's user avatar
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1 answer
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Is it possible to use poststratification when some observations have missing values on the variables used as strata?

This is a theoretical question, so I don't have data to share. Let's say I know the percentage of men and women in my population of interest, as well as the distribution of occupations and age ...
Cavdi's user avatar
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2 votes
1 answer
171 views

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
85 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
3 votes
1 answer
100 views

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
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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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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
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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
1k 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
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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
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390 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 answer
2k 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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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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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