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

Filter by
Sorted by
Tagged with
0
votes
0answers
15 views

What is the Samping Design and how to take sampling wights?

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 ...
1
vote
0answers
14 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 ...
0
votes
0answers
11 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 ...
2
votes
0answers
15 views

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 ...
0
votes
0answers
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 ...
0
votes
0answers
16 views

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?
2
votes
1answer
64 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 ...
0
votes
0answers
9 views

How to partition a sample into representative subsamples?

The problem is the following: take a sample $X$ of the general population $\Omega$, whose distribution is known. Each element of $X$ is described by a vector of characteristics, each characteristics ...
0
votes
0answers
15 views

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 ...
4
votes
1answer
64 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 <...
1
vote
1answer
58 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 ...
0
votes
0answers
18 views

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. ...
1
vote
0answers
9 views

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 ...
0
votes
1answer
22 views

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 ...
0
votes
0answers
8 views

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 ...
0
votes
0answers
20 views

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 ...
1
vote
0answers
18 views

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 $...
0
votes
0answers
21 views

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 ...
0
votes
0answers
14 views

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? ...
2
votes
0answers
12 views

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 ...
0
votes
0answers
26 views

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, $...
2
votes
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 ...
0
votes
0answers
7 views

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 ...
1
vote
1answer
28 views

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:...
1
vote
2answers
36 views

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 ...
1
vote
1answer
76 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 ...
0
votes
1answer
23 views

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 ...
0
votes
0answers
24 views

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 ...
2
votes
1answer
34 views

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 ...
1
vote
0answers
25 views

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? ...
1
vote
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 ...
0
votes
0answers
24 views

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 ...
0
votes
0answers
7 views

Can Crombach's alpha be used to argue for the representativeness of non-probability sample?

My understanding is that Crombach's alpha measures the reliability of survey items in a scale, when they are supposed to be a measure of a construct or concept. However, I'm reading a non-published ...
0
votes
0answers
13 views

How to methodically create cohorts for an A/B test?

I'm new to the A/B world so I'm not sure what to do and why. Question: How should I design cohort sizes to establish statistically significant results from our A/B test? NOTE: We will be sending ...
0
votes
0answers
20 views

If the total population consists of 6 retail groups, and I only manage to secure permission to run my survey from four of them, how valid is my study?

I am a first-time post-graduate student in an apparel design field, and I don’t understand statistics very well. I am doing a study on the adoption of 3D apparel design software by major apparel ...
1
vote
1answer
25 views

Does a class survey count as a random sampling?

If we had a class of 200 people and we made a survey in which anyone in the class can choose to participate or not, does this count as random sampling? I feel like it's not, but I can't put it into ...
1
vote
0answers
54 views

Estimating the range of $1$'s in an array of $0$'s and $1$'s

I have a large array $A$ that contains something like $[0..1..0..]$. It has a continuous range of $0$'s, followed by a range of $1$'s, and then another range of $0$'s. This array is large and access ...
1
vote
0answers
14 views

Approximation for the sampling error of the number of positive cases in a Bernoulli trial

Reading the book "Energy for Future Presidents" I found a way of approximating the binomial proportion sampling error which I never saw before, and I would like to know if my derivation is correct. ...
1
vote
0answers
37 views

Statistician's quantiles versus policymaker's quantiles: calculating the variance correctly

When speaking of income, although statisticians and policymakers (and their staffs) both refer to deciles, quintiles, and the like, they mean quite different things by these terms. When a statistician ...
0
votes
0answers
5 views

What happens If the variables are highly correlated in multivariate sampling allocation problem

I am solving a multivariate sampling allocation problem where the variables of interests are highly correlated. Now If I take only one variable of interest and calculate the univariate sampling ...
0
votes
0answers
8 views

How fine is the finest cluster level in a sample with individual data?

When using software to estimate the variance or standard error of statistics calculated from complex survey samples with clustering and stratification, if the sample contains data on individuals, is ...
0
votes
0answers
72 views

How can analytical weights be used together with sampling weights?

I run a linear probability model (LPM) on survey data, which contains sampling weights. Say the predicted probabilities from the OLS regression are $\hat p_i$. Heteroskedasticity would make me ...
0
votes
2answers
44 views

Sampling: When is it better to use Simple Random Sampling rather than Stratified Random Sampling?

I know that stratified random sampling is almost always preferred over simple random sampling, but I have also read that the Variance of sample mean (x-bar) from stratified random sampling could ...
1
vote
2answers
797 views

Why it is important to make survey design object (svydesign function in R with id, strata, weights, fpc) from raw data and after clean data in object?

I am planning to analyse a survey. I have been told that if I clean the data (e.g. data subsetting, value recoding, creating new variables from existing etc.) and afterwards create a survey design ...
0
votes
0answers
361 views

Population vs Sampling Frame vs Sample

Could someone please explain how the sampling frame is different from population and sample? I understand that the population is all the sampling unit that match our criteria for the study. And the ...
0
votes
0answers
19 views

Web Based Survey Sampling method

I am doing a web based research with target audience as general public. I am a student and so due to limited resource, i basically did snowball sampling. I approached all those whom i knew, some ...
2
votes
1answer
602 views

Why does weighted bootstrap have awful coverage even in toy example?

I'm interested in using the weighted bootstrap to correct for selection bias with a known form. I simulated a very simple example where the underlying data, $X$, are $N(0,1)$ and we are calculating a ...
1
vote
1answer
232 views

Sufficient sample size for skewed populations

I have measured 50000 individuals from a certain population, and 800 (~1.6%) of them have a certain characteristic (say green eyes). I can be pretty sure that this is an effect that is present in a ...
2
votes
1answer
125 views

log transform fixed PH in Cox model - how?

I have survival data to which I am fitting a Cox model with a continuous predictor. The cumulative martingale residual method (supremum test) of Lin, Wei and Ying suggested that both proportional ...
0
votes
0answers
25 views

Defining “variance” of a partially defined random variable

Elsewhere within CrossValidated the following survey sampling problem was mention. To each member $i$ of a population $\{1,\ldots,N\}$ there is assigned some value $c_i$ whose average $\mu=(c_1+\cdots+...