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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Combining Survey Weights
I have an annual survey that is somewhat complex in design. Sample frames are pulled quarterly and overlap. Each quarter's sample is removed from the subsequent quarter's frame. Samples are stratified ...
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Is bootstrapping inherently Frequentist? If so, how do we do a Bayesian non-parametric two-sample test?
I normally use frequentist statistics but I now want to use Bayesian statistics as I want to carry out a two-sample (randomised control trial) test that includes prior information. I have an existing ...
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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 ...
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Whether to specify ddf in confint.svyglm()
I have a main question about whether to specify ddf in confint.svyglm(). Using the two specifications below generate slightly ...
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Weighing Data Issue
I am looking at e-cig prevalence within a city. I used surveys to collect data from residents, and I have a query around weighing data.
I have made the assumption, due to over and underrepresentation ...
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Post-hoc tests of interaction for a negative binomial regression with survey weights?
I ran a negative binomial regression with survey weights using the R package survey and the function svyglm() and observed a ...
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Weighing Questions within a Survey
I work for a public child welfare agency. We have something called a level of care tool that categorizes children based on the amount of care they need. This helps us identify appropriate care options ...
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Use calibration weights to correct for unit non-response bias?
I have a question about how calibration weights can be used to sufficiently correct for unit non-response bias. Suppose the sample is s and the response set is r.
Calibration is applied to the ...
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How do I use something like predict.glm (in R) with a svyglm model and why don't my predictions match my data?
I'd like to estimate "cost" using some covariates with a weighted gamma model using svyglm. The weights sum to 1, and there are about 10,000 rows in the dataframe df total, with columns ...
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Are there coventions on reporting weighted sample sizes?
Suppose I analyze survey data and calculate weighted means. Should I report the sample size if it differs from the unweighted sample size, as would be the case with non-normalized weights? It seems ...
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R survey package: compare weighted prevalence with literature result
I have a large dataset (>3000 cases) with results of serological tests. Based on these results i want to calculate the weighted prevalence of the disease. The data is categorical (0 = disease ...
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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, ...
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Can I add a variable to a complex sample, and run a regression?
In a survey, a complex sample was collected, and the sample was designed to provide estimates at national level. In other words, individuals from one state were more likely to be sampled due to ...
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Adjusting the sampling probability during sampling
Let $n$ individuals in a statistical population be identified by $p.id \in \{1, 2, ..., n\}$ where the order is randomised. Assume, for simplicity, that all individuals are included in the sampling ...
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Complex survey design with multiple waves
The organization I work for has collected data from individuals in multiple waves. Their goal was to collect 333 individuals in 6 different groups (genderXgroup). If the first Wave did not reach 333 ...
