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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5 views

How should one compute confidence intervals for means computed with inverse propensity weights?

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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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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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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38 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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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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11 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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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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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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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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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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33 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
51 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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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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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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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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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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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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29 views

Correct reporting of margin of error on a search value sample

In Google Analytics, I am able to get a list of all the terms users search for on the site. For a large site over the course of several weeks, this could be upwards of 10,000 terms. I want to create a ...
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With a survey sample that includes probability weights, is taking the mean without using weights a biased/inconsistent estimator?

If you are estimating the population mean. or would it be sampling bias if one were to take an unweighted mean?
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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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24 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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Confidence Interval for Hypergeometric Count Parameter (Cochran)

I'm reading through Cochran's Sampling Techniques (1977) book and I came across a result that I'm not sure if I understand. The book states: We first discuss the meaning of confidence limits in the ...
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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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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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Showing that the jackknife method for variance estimation equals the sample variance

I know that the estimated sample variance should equal the estimated sample variance using the Jackknife method. However, I am having trouble correctly proving the formulas are equal to each other. ...
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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 ...
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Proper subsetting of survey data

I have a question about proper subsetting of survey data. This is the scenario: A health survey targeting the general U.S. population has a first stage of sampling that begins by defining primary ...
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Prevalence estimate within clustered sample?

This study has a one stage clustered sample of households, there are 707 households and everyone in the household is included so the total n=2272. I would like to find the prevalence of positive ...
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Minimum sample size for estimating unique followers of three Instagram accounts

I want to determine the number of unique followers between three (or more) large (>1e6 followers) Instagram accounts. Is there a way to determine the minimum number of followers per account I would ...
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Covariance between sample mean and subsample mean

To estimate $\overline{Y}$(population mean), suppose an SRSWOR of size $n$ is taken from a population of size $N$, and the sample mean $\overline{y}$ is calculated. Then an SRSWOR subsample of size $...
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Weighting before Multiple imputation

I have annual data from a cohort study since 2014 about smoking status. I would want to use the data (e.g., sex, age, self-rated health,...) of participants included in 2013 and calculate annual ...
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How do I address missing values in survey responses?

I am building a driver model to determine drivers impacting my company's NPS score. I have NPS survey data with 323 rows. I have 43 rows of missing data for the drivers. How do I proceed here? ...
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Auxiliary variables for imputation in survey data

I have a situation where I have a survey that contains two parts, everyone answers all of the questions on the first part, and a sample (10 percent) of the people are selected to answer some further ...
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Understanding weighting class estimator

What I understand is that in this scenario, the data is partitioned into Z weighting classes on the basis of variables observed for respondents and nonrespondents. $n_z$ represents the sample size, $...
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1answer
29 views

probability sampling calculating probabilities

Consider a population with 10 elements , N:{0,1,2,3,4,5,6,7,8,9}. The probability of drawing ...
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Seasonality affects samples on a heterogeneous system?

In a time window of a year, suppose that a social networks has a bimodal normal distribution that peaks at April and October approximately. Being a heterogenous social network, it has different types ...
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Transforming between estimates of mean and total (complex survey design)

I want to calculate the relative fraction of schools classified as E(lementary), M(iddle), and H(igh) from a complex survey. I do this using the survey package in R:...
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2answers
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How to solve selection bias in a survey?

Selection bias often happens in survey studies. For example, sending out a survey to 10,000 customers to ask whether they like one specific product or not. Only 10% of people respond and 80% of them ...
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1answer
93 views

Complex survey design

I am currently analyzing a dataset resulting from a complex survey design. Individuals have been selected from a three-stage cluster sampling design with two strates (that have been combined to result ...
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1answer
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Random survey questions assigned to each respondent?

Is there a name for a Polling/Surveying scheme that takes a pool of survey questions but randomly picks one or few of those questions for each respondent, instead of asking every participant all the ...
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Should I use simple random sampling instead of stratified sampling when some strata have low counts?

I am designing a survey for which I would like to stratify "events" by state / province, creating $h=86$ strata for the particular dataset I'm working with. However, there are some strata with low ...
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1answer
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Why is the equation for Intra-class correlation aligned with design effect of cluster sampling?

The design effect definition (link) is: $$ DEFF = 1+ (m-1)*ICC $$ It is also the relationship between the variance of estimating the mean with the cluster sampling divided by the variance if the ...
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Determining Sample Size When Low Probability Items Are Of Interest [closed]

Let's assume there are 10,000,000 Yankee fans and we want to analyze what else these 10 million people are fans of. A simple question is, what sample size do we need to be confident in the results? ...
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1answer
1k views

Neyman allocation and proportional allocation

Suppose that a city has 90,000 dwelling units, of which 35.000 are houses, 45,000 are apartments, and 10,000 are condominiums. We want to estimate the overall proportion (p) of households in which ...
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Weird Simple Random Sampling Questions

Encountered this SRS WOR question Having trouble with question 4, i'm currently using the typical N(N-1)S^2/n formula for this one where n=54, N=251. this worked with y bar. It seems different ...