# Questions tagged [survey-sampling]

Creating samples from a well-specified population (human: all adults; registered voters; individuals with diabetes; students of a university; establishment: all firms; firms with employment of 200 or more in New York City; resource: all land of a country or a state/province) using a probabilistic method, with the purpose of inference to that specific population

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### How to show that $\pi^*_i \pi^*_j - \pi^*_{ij} = \pi_i \pi_j - \pi_{ij}$ in a probability sample?

Let $\pi^*_i \quad i=1,2,\dotsc, N$ be the probability of not including the $i$th unit in the sample and let $\pi^*_{ij} \quad i, j = 1, 2,\dotsc, N$ be the probability of including neither the $i$...
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### Survey sampling: How many participants per group (current, former, and potential users) should we recruit?

We are designing research in which we will explore the perception of users (C current, F former, and P potential) on a product. We apply the same questionnaire for each group adapting (verb tenses) ...
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### Calculation of survey weights when some respondents are certain to be selected

I am helping with the design of a household survey which will use a four-stage sampling process, and I am unsure how to account for some elements of the population being selected with 100% probability....
15 views

### Do survey sample standard errors take into account/correct for anything else besides finite population?

Regular standard errors are biased when the data comes from a survey sampling design. The article "Wait Wait, Don't Tell Me... You're Using the Wrong Proc!" explains that the bias is due to ...
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### Sample size of a vote transfer poll

A vote transfer poll asks the electorate about how they voted in the last election and how they would vote if the next election was now. With the result from both questions one could build a matrix of ...
73 views

### Specifying the survey design correctly in the R survey package

I have the results from a survey where a geographic area was stratified and power allocation (using the number of households in each stratum) was used to determine the number of surveys to send out to ...
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### Need help on running sample data analysis -

Background: I have a survey data for a year 2019 where I received 50% response rate. I wanted to compare it with 2020 data which has 65% response rate. Question being asked in the survey is to rate ...
35 views

### Sample size for two-staged cluster sampling

I have a question about the R-package samplesize4surveys. I want to calculate sample size for tests of difference in proportions in a two-step clustered sampling ...
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### Reconciling sample size calculations using Cochran's formula and Wald test

This is quite a basic question but I could not find a clear answer elsewhere. If we wish to draw a simple random sample to determine the estimated proportion of an attribute in the population, given a ...
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### Why do you only need to identify the first cluster level in svydesign(), even if you have multi level clustering?

Going through the a course on Survey Weights and it says that even though a dataset may sample using 3 clusters (like Counties, City Blocks, and households), you only need to specify the first level ...
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### Can I make conclusions with two independent samples?

Suppose I have a sample (n°1) that is statistically representative of a country A population, that I randomly selected. I want to give a survey to that sample to infer some things about the true ...
208 views

### Sample size needed for a survey with multiple questions

I want to make a survey with several questions and conclude those results for the whole population. For example, I want to estimate the following questions for my 1 million population : "do you ...
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### ICC for cluster within cluster (survey package R)

So I'm not quite sure about the terminology but what ever it's called the actual scenario is straight-forward. I'm dealing with a two-stage cluster sample. It's also stratified but let's set that to ...
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### Matching a Subsample with Complex Survey Data

I am completing a study to analyze the effects of a policy treatment on a sub-population of adults (low-income adults, specifically) that are represented in a complex, nationally representative survey....
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### How to operationalize stratified, cluster survey sample “standard of the mean” in Excel

I have a question on the analysis of complex survey design. Basically, I am trying to replicate the SAS Surveymeans procedure in Excel in order to understand how to operationalize the equations to ...
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### Appropriate statistical test for paired survey data?

I'm somewhat new to statistics, so forgive me for a rather elementary question. I'm not looking for someone to do any sort of in-depth explanation, rather would just like to be pointed in the right ...
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### Random sampling in quantitative studys [closed]

Many empirical studies are based on random samples which are used to draw conclusions about a corresponding population. In this context, the importance of a random sample is often pointed out. As to ...
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### How can I infer the precision of my sample?

Let's say I have a survey about the quality of my product. But only 30% of my customers answered. If, for instance, the average rate for my product quality is 7, what can I infer from the real rate? I ...
23 views

### means and errors for election polls

I'm trying to assess how to compute the errors associated with a numbers of likely voter polls of the Warnock Georgia Senate race. I have estimates of the margin of victory from 9 surveys of varying ...
300 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 ...
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### Why two different surveys will not give the exact same result?

I faced a challenge recently with our commercial team about our annual market survey result. As you can guess, our commercial team has no background in statistic or math etc. A brief introduction, ...
191 views

### How to calculate weighted average based on two variables: sample size and pollster grade?

Let's say I have a dataset with three columns with 5 rows and 3 columns. Each row represents a separate poll result of a single political party. The columns are poll prediction, sample size of the ...
36 views

### Expectation of sample mean for a population group using simple random sampling

As we know, in case of simple random sampling the sample mean, $\bar{x}$, is an unbiased estimator of the population mean, $\mu$ (for a prove, see, for example, here). I assume a similar case can be ...
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### t-test for likert scales questionnaire [closed]

I am working on a research assessment where I intend to ask individuals to submit a questionnaire based on public perceptions of national security. Participants will answer statements based on a 5-...
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### 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 ...
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### How to compute weights using logistic regression

I'm not interested in creating a logistic regression model which is weighted, I'm interested in using a logistic regression model to compute the weights of a survey. It seems that, given the weights ...
24 views

### How should one compute confidence intervals for means computed with inverse propensity weights (IPW)?

Inverse propensity weighing involves a machine learning model that takes features and outputs the predicted probability that this person is in the sample. Let $w_i$ be the inverse of the output for ...
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### Testing differences between census and survey

I am trying to compare voter turnout for two consecutive elections, one in 2015 and one in 2019. I have turnout data for several geographic locations and age and gender groups. The goal is to see if ...