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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14 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 ...
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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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20 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, $...
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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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25 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:...
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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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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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18 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 ...
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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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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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291 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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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 ...
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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. ...
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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 ...
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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 ...
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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 ...
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44 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 ...
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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 ...
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Weighting community-level observations in representative survey data

I am working with survey data that contain information at the individual, household and community level. The survey is representative at the national and first-administrative level but provides ...
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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 ...
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Behavioural mapping and correlation

I want to correlate data gathered from a survey to data gathered from behaviour mapping, which is a type of systematic observation. My point is: considering same population but different samples, can ...
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203 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 ...
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Can the range of possible values including the margin of error exceed 100%? [duplicate]

1) I'm working on a sample gotten from users on a website. However, on certain days, the sample size can be as small as 5. As a result, I used the T distribution for my calculations instead of the Z ...
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16 views

How does missing data affect analyses using svyset?

I am running some simple statistics using Stata and its svyset command. Does listwise deletion of cases during analyses affect the svyset? Are results still going to be weighted properly and the ...
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Design effect formula

I saw two formulas for design effect. One is deff = 1 + rho (n – 1) , where rho is the interclass correlation and n is the number of elements in the cluster. Another formula is defining DE or ...
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Calculating sample size for a stratified random sample

I have a total population of 4,000 farmers, divided into three unique regions. Approximately 50% of the farmers live in Region A (N=2,000), 27% in Region B (N=1,080), and 23% in Region C (N=920). I am ...
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Stratified Sampling: Given required bound, calculated $n_h$ is bigger than $N_h$?

I'm dealing with a question that has given me a peculiar result and I would like someone's opinion on how to deal this: Say you have a population of $N=550$ objects: $N_1=75$ red and $N_2=475$ blue. ...
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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 ...
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when and where need deep stratification?

as working in sampling i understood some methods like, stratification and post stratification, as post stratification is good when simple random sampling provides underestimate results then we adjust ...
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381 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 ...
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168 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 ...
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86 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 ...
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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+...
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168 views

Quota sampling in R

I was provided surveys with quotas set at the provincial, gender, and employment status levels. I was wondering if it is possible to use survey package in ...
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Benefit of scaling survey design weights

In the european social survey the design weights are scaled to the sample size (see quote and source): As with the design weights also the post-stratification weights are scaled to the sample size, ...
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44 views

NPS daily survey data

I have daily surveys sent to users of several of my organization´s services, the surveys consists only on NPS question (How likely would recommend X? on a 0 to 10 scale), number of respondents vary by ...
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How Much More Information (as bits) is Gained (if any) from a Ranking vs. Likert Scale Survey of 100 Questions's / 1-5 Scale?

All other sources of noise controlled, I, know that asking users to rank their preference on a collection of items from "best" (5) to "least" (1) in lieu of having them rate each one individually on a ...
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when is it ok not to weight a national database analysis

I am running an analysis using a national database that has weights available to produce national estimates. However, I am comparing 2 procedures that are very specific to research hospitals only. ...
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44 views

Testing change over time with different sampling frames

In 2017 a representative sample survey of 400 schools was conducted with a stratified two-stage sample design. The sampling frame was an earlier school census. In 2018, a second round of the survey ...
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Predicting elections with a random sample

If I have a population of exactly 100.000 voters, and I know they all voted in either candidate A, B, C, D or E. (e.g where the results of a random sample of 100 voters are A = 40%, B = 30%, C = 10%, ...
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112 views

Is there a metric of representativeness in statists?

In a group of 1000 people, where each of them is either A, B, C, D or E (no one can be more than one thing). If I have exactly 200 people with each trait (20% per trait), when I take a random sample ...
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544 views

Combining multiple survey datasets with design weights in a single model

The analysis of survey data with design weights is a difficult topic. In my case, I am working with two datasets: 1) NHANES data, which makes use of cluster sampling and stratification, and 2) Survey ...