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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1answer
12 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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1answer
26 views

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 ...
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22 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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12 views

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 ...
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1answer
22 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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1answer
20 views

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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1answer
9 views

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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1answer
30 views

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 ...
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2answers
67 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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1answer
12 views

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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1answer
47 views

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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1answer
25 views

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 ...
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2answers
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 ...
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1answer
98 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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1answer
30 views

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, ...
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158 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 ...
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31 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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11 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 ...
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29 views

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 ...
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22 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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sampling approach

population of my study is undergraduates target population is students from first semester only from three study program. I took data from four public and four private sector universities and at each ...
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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 ...
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Finding the “most representative” variables of a population

Most polls use the so-called quotas method to obtain their sample. They draw candidates upon a large panel of people and add one-by-one each responding candidate to the sample unless a certain quota ...
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Removing weights/strata from weighted data (NHANES)

I'm currently working with NHANES dataset, and I'm hoping to introduce the dataset to people without any statistics background for educational purposes. However, the dataset is weighted, and it might ...
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48 views

Sampling from a skewed distribution

So I have a dataset with around 40,000 unique free text descriptions of purchased goods. I also know the spend on each of these unique descriptions, and the distribution of spend is long tailed. Some ...
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1answer
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Confounding Factor in Live Survey

Say we need to survey a shopping mall but havent created a survey questionnaire in advance. The guy who is going to conduct the survey will ask questions based on live response from the people at the ...
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1answer
40 views

When do survey answers stop being representative?

Let's say I have a survey with $k$ questions and the sample is representative of the population. So, if I analyse the results for one question, I suppose those results are representative of the ...
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23 views

Coding systematic designs with multiple random starts

I am trying to set up a survey design using the survey package. We sampled 0.5m transects systematically from a 100m reach and used 3 random start locations thinking it would provide a better ...
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16 views

Take into account Sensitivity and Specificity when calculating Estimates/CI's

I'm trying to thing about how to calculate confidence intervals in the presence of known measurement error for some test protocol. Let's assume we're doing a sample survey in which we're performing ...
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43 views

Using variance of sample to calculate unbiased estimate of population variance

I am trying to follow through the survey sampling chapter of Rice's statistics book. Denote the sample values by $X_1, X_2, \ldots, X_n$ and the population values by $x_1, x_2, \ldots, x_N$ (so the ...
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64 views

How to calculate the survey mean with a categorical auxiliary variable in R “survey”?

When I use a continuous auxiliary varaible in svyglm, I can predict the mean of the dependent variable from the mean of the auxiliary variable (MRE below). How do I ...
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21 views

How much time between testing for comparison of survey-methods

Consider one came up with a new surveying method, for example an application that relies on some form of gamification of question-answering and wanted to compare how participants would use it to ...
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6 views

How do I calculate the survey sample size using stratified sampling?

Lets say I plan to do a survey of individuals aged 40-69 years old in 5 residential complexes. It is a general social survey, and is intended to survey attitudes towards a new cultural centre that ...
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1answer
102 views

How to combine complex surveys from different populations?

I have 4 national representative surveys (DHS) and let us assume one survey belong to one country (e.g. Lesotho, Namibia, South Africa, and Zimbabwe). The sampling method used in these surveys is ...
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1answer
58 views

Unbiased estimatior for $\bar{x} $ from a Random Sample with unequal selection probability

I have the following population: Where the left column is the age of our individuals and the right column is their weight (in kg). The exercise tells us that we use Random Sampling with no ...
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5answers
321 views

Are the differences between sampling clusters and sampling strata, conceptual, methodological, neither or both?

I am fuzzy on the distinctions between sampling strata and sampling clusters. Both seem to aim at designs aiming at creating useful estimates of between/within group (strata, cluster) variation, and ...
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149 views

Sample size analysis for retrospective analysis of survey data

I have data that were collected on childhood injuries for 1 year at clinics in certain US states. The data were then aggregated, with weights and strata to be nationally representative. This is ...
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1answer
50 views

What is the Sampling Design and how to take sampling weights?

I wan to know what is is the sampling design here (situation is also depicted in the figure below) City is divided into urban and rural domains Each domain is divided into blocks Each block contains ...
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36 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 ...
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76 views

variance of sample mean using srswor

while deriving variance of sample mean in case of SRSWOR, i came through this. how did the highlighted term came there. while solving it, there should be 2Cov(yi,yj) but that term is not there. in ...
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Adjusting for non-response bias in a survey

Say I have a target population of 10,000 for a survey, and only 2,000 respond, because they likely feel strongly about the survey topic (either happy or angry). I have clear, abundant non-response ...
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1answer
76 views

Matching biometrics with NHANES

Good morning everyone, I'm trying to figure out how to do some matching with NHANES datasets. Basically, I have a separate population of participants in a weight loss program, for which we do not ...
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1answer
42 views

How to partition a sample into representative subsamples?

The problem is the following: take a sample $X$ of the general population $\Omega$. Each element of $\Omega$ (and hence, each element of $X$) is described by a vector of characteristics, each ...
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1answer
100 views

Stratified survey calculations by hand and with survey package don't agree. Simulation results

Bounty info: I originally emailed Thomas Lumley at an old email address. He did respond to an email to his new address. Note: Long post (lots of code) I can’t seem to replicate the results of the <...
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1answer
107 views

Two phase sampling method for stratification

Question: $\$3000$ is allocated for a survey estimated proportion. The main survey will cost $\$10$ per sampling unit. Information is available in files, at a cost \$0.25 per sampling unit, that ...
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How do I find required sample size for my survey given the data I have from my pilot survey?

I have a data set which has a boolean variable (the question being 'Have you been the recipient of a blood transfusion?') it has either yes or no as the output. I currently have 118 replies to this ...