Questions tagged [cluster-sample]
Cluster sampling is a sampling design in which the observation units have to be grouped together for logistical reasons (e.g., students clustered in schools or households clustered in a geographic area). Typically, cluster samples are multistage samples, so geographic areas are selected in the first stage and households in the subsequent stage.
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Clustered data and multiclass classification with GPBoost
Is it possible to do multiclass classification using GPBoost?
For example when we have 3 or more classes (e.g. specie A/ specie B/ specie C) from a clustered data set (e.g. several measurements over ...
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I want to fit a linear regression model, but I know that if I treat each instance as unique there will be many pseudo replicates
I want to fit a linear regression model, but I know that if I treat each instance as unique there will be many pseudo replicates.
I want to explore the relationship between 2 binary variables and one ...
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Sample size for desired margin of error with clusters of unequal size
I need to design a survey such that the margin of error for a binary, categorical variable is bounded at a certain level. The survey needs to be a one or two-stage cluster sample where clusters are of ...
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Cluster sampling result in larger sample-to-sample variability
I'm reading STATA's Survey Data Reference Manual.
There is written that:
Cluster sampling typically results in larger sample-to-sample variability than sampling individuals directly.
Do you have an ...
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Using Generalized Estimating Equations (GEE) to handle uneven clusters where some subjects have more outcomes than others
If possible, I would like to use GEE to control for clusters in my data where some subjects have more measurement and outcome pairs than others. In this particular case, the outcome is binary and the ...
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How to perform two-way fixed effect Difference in Difference test?
I am doing a research on the effect of Covid on fundraising success. I already implemented logisitc regression models with Covid as interaction variable but my supervisor wants me to use DiD.
I asked ...
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Combining samples at different resolutions
I have a dataset of object sizes obtained from aerial photographs.
Different photographs, taken at different altitudes, give access to different information. When close to the ground, the area ...
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Multilevel model for nested data with obs could be in multiple groups
I understand that you would consider multilevel or hierarchical linear mixed effects model with your data are nested with multiple level and be grouped. However, I assume that the observation will ...
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Pairs (Cluster) Bootstrap R
When using a regressor ("generated regressor") that is generated in a first-stage equation and used in a second-stage equation, then standard errors will be understated (here is a readable ...
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How to determine effective sample size when sampling averaged samples?
I have a sampling process like the following:
Randomly select psus from one stage with equal probability
Use all ssus of each psu selected for estimation.
Each ssu is associated with a statistic from ...
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How is the finite population of unequal sized clusters applied in one-stage sampling?
If clusters vary greatly in size, then it seems that the form $f = (1 - n/N)$ is not always a good choice. Usually in this form $n$ is the number of clusters sampled and $N$ is the pop cluster total.
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Sample size to have same efficiency of mean into SSR
Exercise
Imagine that you need to conduct a survey to assess the degree of students' financial knowledge at the end of their compulsory education. The assessment is done by submitting a questionnaire ...
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Alternatives to the Kruskal-Wallis test?
I have determined malaria prevalence in 8 villages with household-level clustering.
As an initial test (basic descriptive statistics), what test (as the independence assumption of K-W is violated) is ...
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What value of ICC to use when calculating effective sample size?
What value of ICC should I use when calculating the effective sample size of clustered data?
A previous publication conducting a similar study reported ICCs of 0.04 for the full mixed model (random ...
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Adjusted Chi-square test or standard Chi-square test for clustered data?
I am performing a risk factor analysis of the individual and household-level factors associated with Plasmodium infection in individuals located in 8 villages in Cambodia.
I want to perform an initial ...
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Clustered data and the Friedman test
Good morning, I am performing a risk factor analysis of the individual and household-level factors associated with Plasmodium infection in individuals located in 8 villages in Cambodia.
I have ...
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Testing for cluster dependence with one observation of each cluster (and all its sub-cluster samples)
Given a group of clusters (PSUs) $P$, can we establish their correlation without any repeated observations of the clusters? I have one sample measurement of a set of clusters and am interested in ...
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What should be the degree of freedom in ANOVA table
Consider the area under wheat for a sample of 44 clusters
selected from 11 different villages. Four clusters were selected from each of the
11 villages and each cluster consists of 8 survey numbers(...
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How should I use PPS sampling when calculating a ratio of an auxiliary: Should I sample inverse to my ssu auxillary totals?
I have a one-stage cluster sampling design. So I sample at the "primary sampling unit" (PSU) level but ultimately compute the metric using samples collected within the primary sampling unit.
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What is the impact on probability of selection when picking from a sample of a sample?
If I have a population of 1000 items and I want to pick a sample of 30 (without replacement), is there a difference in the likelihood of each item being selected if I:
Perform a simple random sample ...
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How to choose between simple random sampling at psu level vs one-stage random sampling?
Say I am measuring barrels of oil drilled per persons in a population.
I can sample at the county level. I randomly sample counties all with equal probability. Our total samples is $N$, the total ...
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Comparing median of groups within many clusters
I have the gender composition for thousands of boards (there is no sampling involved. The data set contains all boards). Boards are consisted of different number of male and female directors. So, to ...
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What are appropriate ways to use matching with clustered data (with hierarchical structure)?
In my setting, I have post-intervention observational data in which individuals are nested into villages. The treatment consists of an information campaign that targeted villages in a non-random ...
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multiple questions about setting up survey weights with the application of a combination of different types of weights - ESS
Checking out this file published by the european social survey website
https://www.europeansocialsurvey.org/docs/methodology/ESS_weighting_data_1.pdf
it states that :
• when analysing data for one ...
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dealing with zero inflation in the regression model
I have a longitudinal data, with different follow-up number for individuals. I have considered measurements for each individual as a curve which I already smoothed them, then calculated the area under ...
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will it take the form of cluster? is regression analysis possible here?
i am working with some data regarding my PhD, where i am interested to see the ability of the institution of different villages of four districts in enhancing people's living condition.
here, through ...
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How to justify anonymous clusters?
Is there a reasonable situation where the clusters are anonymous?
What I mean is that one can ensure the subjects sampled are from the same cluster, but she does not know exactly which cluster they ...
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What happens statistically, if you create more observations by measuring more aspects of the same observational unit
Let's say that I want to measure the effect of a treatment on the performance of a firm. However my sample is very small. Let's say 10 firms. It is not possible to observe more firms. All these firms ...
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Logistic regression on correlated data (without clusters)
I would like to create logistic model using the OCA STAT Act data in R, however, since this data is a compilation of court appearances since 2020, some defendants may have appeared before court more ...
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Can Machine Learning Models Recover "Experimental, Design and Hierarchical Structures" Within the Data?
Can Machine Learning Models Recover "Experimental, Design and Hierarchical Structures" Within the Data?
At times, real world data can contain "embedded structures" - these ...
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Fixed effects in a cross-sectional data
I'm working with research that has cross-sectional data. I have collected information about publicly-listed banks in many countries. For example, for each bank I collected the following information:
...
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GEE vs Hierarchical linear regression
I am trying to choose between GEE and hierarchical linear regression for analysis of experimental vignette (2x2 factorial (0/1) design) data. Each respondent (N=160) filled in 2 vignettes, thus the ...
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Data with Hierarchical Structure and Multicollinearity (E.g. ZIP Postal Codes)
I always had the following question: Can data having "naturally occurring hierarchical structure" be transformed to better make use of this hierarchical structure at different levels?
To ...
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Clustering standard errors for difference in difference
I am running a difference in difference to examine the effect of a merger on petrol prices. I am looking to see whether the prices of company A have increased due to a merger with company B.
Local ...
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Is it always better to analyze at the most granular level possible? What is the best unit of analysis in the context of hierarchically clustered data?
Let's say that I have experimental data where the level of treatment is at a higher level of aggregation than the level of observation. For example, imagine some subset of schools adopted a new ...
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Asking about clustering condition following Abadie, Wooldridge 2017
Abadie, 2017 have a paper about when we should cluster. And this paper has been summarized by McKenzie here.
I used the paper of Dasgupta,2019 to link to the summarized work of McKenzie. So, in ...
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What do "random sample" and "particular population" mean in clustering?
Yesterday, from a suggestion of @Dimitriy V. Masterov here, I saw from the given link about one of the reason we can avoid clustering is
You want to say something about the association between ...
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Cluster regression
I have a dataset and divided the sample into 6 groups based on 4 binary criteria (e.g. "1" for has a Chief Digital Officer and "0" otherwise).
Now I want to conduct a regression of ...
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How to cluster a finite number of random variables based on their distributions?
Suppose that we have $n$ mutually independent (not i.i.d.) random variables $X_1,\dots,X_n$. We assume that these random variables can be divided into $k$ distinct groups ($k<n$), where in each ...
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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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Statistical analysis of clustered data- but clusters in one comparison group only
I'm curious if it's still valid to use analysis techniques for clustered data when only one of the two comparison groups consists of multiple clusters.
For example, the control group consists of 10 ...
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How can i calculate density of every centroid in python
i have kmeans clustered data, and cluster centroids of the kmeans. I want to calculate density of each cluster centroid and remove the cluster of the highest cluster centroid density. I did my ...
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Determine sample size for each cluster
Suppose I have a large population and I want to test if installing a new special light bulb can reduce energy consumption. Since I have a large population, I'll have people that usually consume high ...
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If fixed effects and robust standard errors both necessary, do they have to be at the same level, and why?
I am working on an empirical paper using repeated cross-sectional data, and a reviewer has asked that we cluster our standard errors at the same level as our geographic fixed effects. Given the ...
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How to use lstm for clustered data?
I have a timeseries dataset of users with different profiles. I want to use lstm for predicting 1 day ahead of each user. My approach to the problem is first clustering users of same behaviour. And ...
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Single Observation with Some Groups. Multilevel model or other analysis?
I am having trouble determining which method to use to analyze my data. Here is the info:
-575 observations nested within 292 groups
-some groups only have one observation, the max number is 23 in a ...
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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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Stratified Sampling - Confim usage and sample size
I want to conduct a survey on a population of college students to run models on. My hope is that it will accurately represent the population. I am concerned about the sample not giving a close ...
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If you match within clusters,do you still need to use a multilevel model?
I am reviewing an article. I can't share details because the article has not been published but, briefly, the authors studied people with and without a condition and looked at long term sequealae of ...
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Algorithm to get representative sample
For a dataset I wanted to pick-out some most representative points from it. Lets say the first point could be centroid, next could be the one farthest from it in the data-set(To get variance in data) &...
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