Questions tagged [survey-weights]
survey weights are used when data are collected according to a probability sampling design with unequal probabilities of selection and/or response
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Computing standard errors when using stratified sampling
I am trying to understand the following formula for the standard error of the population mean as estimated through stratified sampling. On the CRAN site, the formula given is $$
S_{\bar{x}_{\textit{...
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Should mixed-data (incl. weights) be pre-normalised/scaled/standardised before computation of a distance matrix for hierarchical clustering?
should i scale the mixed data type before i perform hierarchical clustering?
A question very similar to mine was asked above however it wasn't quite answered...
For background: I am using a large ...
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Sampling weights in Cox proportional hazards models
I'd like to use sampling weights in a Cox proportional hazards regression model to address selection due to different response probabilities. I'm calculating the weights as Inverse Probability of ...
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How to update survey weights after fixing strata membership/assignments?
Imagine we conduct a survey using stratified sampling, and after the survey closes, we find out that we had misclassified some of the respondents. They actually belong to different strata than we had ...
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Discrepancy in degrees of freedom from R svyglm vs glm
I fitted a Poisson model using svyglm in R. The null and residual deviances from the svyglm model are as expected. For the degrees of freedom however, I get confusing results. With a sample size of n=...
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How to estimate upper CI of population prevalence of (very) rare events - with weights
I'm doing something equivalent to estimating the prevalence of a rare disease.
I might sample 1000 individuals, and find zero cases. In which case I'd calculate the upper confidence interval using ...
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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 ...
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How do I calculate a finite-population correction for a weighted sample?
I have a weighted sample from a population. These are probability weights (as samples are taken with unequal probability). What's the variance in the estimated total? All samples are exchangeable (...
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Can model-based recursive partitioning accommodate survey weights?
I am using the model-based recursive partitioning algorithm described in Zeileis, Hothorn
and Hornik (2008), available here: https://www.zeileis.org/papers/Zeileis+Hothorn+Hornik-2008.pdf
I am using ...
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Recalculating IPW after stratification
This may seem a bit odd as a question.
If one stratifies a dataset using a variable, which was also used in IPW calculation, one will have to recalculate the weight, right?
I am asking because there ...
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Problem with weigts in survey analysis of GSS cross-sectional data
I have a dataset made from https://gss.norc.org/get-the-data
There is a description from the codebook how to use weights:
...
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Nonresponse weight adjustments in multi-stage household surveys
I have a question about nonresponse weighting in complex sample surveys in multi-stage designs, like say, The US National Comorbidity Survey Replication (NCS-R), the Health and Retirement Study (HRS), ...
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What are some limitations of survey raking weights?
The title of this question says it all. I know that all methods have limitations, and while I know some of the strengths of raking weights (e.g., often, only marginal distributions for auxiliary ...
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Reporting average marginal effects of a survey-weighted logit model with R
I'm working with survey data of a complex sample to estimate binary outcome models. I am trying to report average marginal effects of a logit model, which I estimated through ...
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Comparison between weighted and unweighted surveys
I was hoping to get your take on comparing the results of a weighted survey with an unweighted survey.
I have the results of two different surveys conducted in my state.
Survey A was a multi-stage, ...