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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

112 questions with no upvoted or accepted answers
7 votes
0 answers
89 views

Defining quantiles for complex survey samples

I am looking to accumulate a comprehensive list of definitions for quantiles under complex sampling that have been published or implemented in software. I'm not worrying about the separate problem of ...
Thomas Lumley's user avatar
7 votes
0 answers
7k views

When to use longitudinal (panel) weights vs cross-section weights in complex surveys

I'm currently working with a longitudinal dataset, the Kauffman Firm Survey. The survey tracks about 5000 firms starting from 2004 - 2009. Firms die out over the years. It has both cross-sectional ...
Robert's user avatar
  • 285
5 votes
1 answer
168 views

svychisq with statistic="Chisq" vs. statistic="adjWald"

I'd like to run analyses using Rao-Scott Chi-squared test using svychisq to account for survey weights. It seems that statistic="Chisq" gives the Rao-Scott version, however, now that I'm ...
AskingSomeQuestions's user avatar
4 votes
2 answers
1k views

Post stratification weights and the survey package in R

I have survey data that needs to be weighted, and to help me with this task, I have access to the full joint distributions of the variables I want to use. As I understand it, I should use the ...
Figaro's user avatar
  • 1,152
3 votes
0 answers
268 views

How to perform exploratory factor analysis with complex survey data for ordinal and dichotomous variables?

I would like to perform an exploratory factor analysis in R with complex sample survey data involving ordinal and dichotomous variables. The svyfactanal() function ...
user156625's user avatar
3 votes
0 answers
103 views

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 (...
Closed Limelike Curves's user avatar
3 votes
0 answers
197 views

multilevel longitutudinal model with missing data and survey weights

I'm estimating a multilevel longitudinal model in lme4, using publicly available survey data. The data include sampling weights, and there is substantial missing data (over 27%). I understand multiple ...
votmoyd's user avatar
  • 61
3 votes
1 answer
124 views

How do you use Bayesian methods to analyze the American Community Survey Public Use Microdata Sample?

The American Community Survey (ACS) Public Use Microdata Sample (PUMS) comes with weights generated with the replication weight method. There are software packages such as the ...
Brash Equilibrium's user avatar
2 votes
0 answers
20 views

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 ...
Guoqiang Zhang's user avatar
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
0 answers
30 views

Where does weight factors come into play with real data (in R)?

I do understand the IMHO simple concept using weights to fit a sample to another (real) population. Calculating the weight factors is not hard. Regarding to my MWE there maybe is a more elegant R way ...
buhtz's user avatar
  • 282
2 votes
0 answers
41 views

Weighting pharmacovigilance data in a meta-regression

I would like to run a meta-regression in which the independent variable is composed of weighted reported odds ratios (ie, the number of events for a particular medication side effect divided by total ...
M BG's user avatar
  • 61
2 votes
0 answers
265 views

How should you use scaled weights with svydesign() in the survey package in R?

I am using the survey package in R to analyse the "Understanding Society" social survey. The main user guide for the dataset specifies (on page 45) that the weights have been scaled to have ...
datavisdev's user avatar
2 votes
0 answers
134 views

How to determine sample weights, when the prevalence in the population is based on percentages

The central question is: How to do I determine the weights, when prevalence in the population is expressed as percentages? I have posted this related question on Stack Overflow: According to the ...
Tom's user avatar
  • 528
2 votes
0 answers
78 views

Raking weights - How can they possibly recover the joint distribution?

So I've recently encountered raking weights as a way to obtain weights for population level estimates: https://www.pewresearch.org/methods/2018/01/26/how-different-weighting-methods-work/. My question ...
Andy's user avatar
  • 21

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