Questions tagged [survey]

An instrument used to collect a sample from a population. Surveying often refers to sampling of human populations and is primarily done by administering questionnaires or interviewing individuals.

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Loop through chisq.test RStudio [migrated]

I am trying to perform chisquare tests on about 30 variables. I tried to write a for loop to no luck. The loop should also save the p-value of each test. I have used this kind of setup before, in ...
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What sample margins does rake choose here? Two samples in one data frame

Let's say I have one data frame that consists of two samples. The two samples come from two different populations. Assume there are no clusters or strata. The data set looks like this: ...
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Does survey R package allow me to do beta regression?

I have a complex survey dataset with a response (dependent variable) bounded between 0 and 1, where I have applied multiple imputation to the dataset to account for missing data. The response formally ...
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Specifying panel data as survey object

I have a panel dataset of household characteristics (income, expenditure, asset ownership etc.) collected in different waves (30 waves in total). The survey data is stratified, with primary sampling ...
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Difference in margin of error for boostrap and parametric approaches in survey

I'd like to know if using a bootstrap-derived margin-of-error for a simple survey is appropriate. I'm worried that the estimate is too small. I've pasted the code below for both approaches for context....
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Checking covariate balance in survey response

In survey adjustment for nonresponse, a model-based approach can model response propensity on a variable where each observation is a respondent or nonrespondent from the full sample. An approach to ...
four77's user avatar
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Identifying an outlier nominal group different than the norm, based on an ordinal dependent variable

As part of my graduate thesis, I've measured the satisfaction levels of a couple hundred respondents across 7 districts of a city about a local public service, using a 4-point ordinal Likert scale (...
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Use calibration weights to correct for unit non-response bias?

I have a question about how calibration weights can be used to sufficiently correct for unit non-response bias. Suppose the sample is s and the response set is r. Calibration is applied to the ...
Willi Zhang's user avatar
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How to create a composite variable from survey data?

I'm working with survey data, which I've never done before (from the SHARE database). What I basically want to do is create a composite variable for cognitive function, mental health and maybe some ...
WussInBoots's user avatar
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Does this linear panel regression make sense to examine the effect of an event?

I am using survey panel data and a linear fixed effects model with an event dummy variable to examine the effect of Biden visiting Ukraine on the concern of the US citizens about US getting more ...
George's user avatar
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Compare 2 systems using pairwise preferences

I have systems A and B. I sample N inputs $X_i (0 \leq i<N)$ and run them through each system, getting outputs $A_i$ and $B_i$ for every $i$. I also have a random vector $Flips_i \backsim Bernoulli(...
Alexandre's user avatar
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Appropriate method for seeing how similar two items on a survey are?

I have a survey and we want to look at a pair of questions we think are very similar and possibly asking the same thing. If they are we'd like to reduce the two questions to one question. Both ...
sixfortyseven's user avatar
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Model Significance for Svy logistic regression

I am working on the survey logistic regression. More than ten predictor variables are identified based on a P-value of < 0.25 on bivariate analysis. However, when I try multivariate analysis the ...
Melese Siyoum's user avatar
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How do I use something like predict.glm (in R) with a svyglm model and why don't my predictions match my data?

I'd like to estimate "cost" using some covariates with a weighted gamma model using svyglm. The weights sum to 1, and there are about 10,000 rows in the dataframe df total, with columns ...
Mark's user avatar
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Double poststratification in a two-stage cluster design

Say we have a country divided in 100 municipalities. Within each municipality, the population can be categorised into 10-year age groups and the population size of each group is known. A two-stage ...
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Age-standardized survey results with complex sampling in SPSS

Apologies if I am missing something obvious with this question, but I have dug around online a fair bit and can't quite seem to find the answer I am looking for. At my organization we have health ...
Drew's user avatar
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How to run fixed-effects model on survey data in R?

I have two periods of panel data and I am trying to see if coefficients change over time. I would like to control for individual-level heterogeneity, but not sure how to do it with a complex design ...
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Practical example of a survey statistical research [closed]

A juice distributor delivering boxes of 8 bottles knows the probability (p=0.02) that a bottle will break during transport. If 4000 trunks are transported, the number of trunks in which two or more ...
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What weight to use for using NAMCS and NHAMCS together?

I am interested in analyzing the total prescription of aspirin in NAMCS and NHAMCS (https://www.cdc.gov/nchs/ahcd/index.htm) during a given year for all visits. NAMCS and NHAMCS each had a weight and ...
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How do I calculate the statistical power of my survey results? It is an exploratory survey with no measurements

I need to prove that my survey results or sample size is statistically significant. I did a 2 sample T test in R, where my supervisor said that "what is the statistical power of your results is ...
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How should I combine “typical” and “yesterday” self-reports?

I have inherited a long-running survey with two measures of individual behavior. Edits: clarifying that this is not about drinking behavior; it’s not, and I only used that to try and illustrate. It ...
dholstius's user avatar
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Reliability of online surveys

I'm trying to get an idea about reliability of online surveys: I found some indication that "internet-based surveys produce data that is at least as reliable, valid, and of equal quality as data ...
Mauro's user avatar
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Hypothesis testing of categorical variable

I have extracted data from a questionnaire about factors influencing employability of young graduates. The questionnaire was answered by students in my class, so I extracted their age, major, and ...
HellBoy's user avatar
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How can I best visualize & compare this data? Should I create weighted composite variables for a scatter plot?

I have data from a survey which was asked people 1) how often they used a particular tool (daily, weekly, monthly, annually, etc) and 2) many hours they usually spent using it (0 - 4 hrs, 5 - 9, 10 - ...
Arctic's user avatar
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Validation Checklist Passing Score

I have a mixed-method thesis ongoing. I'm currently on the validation stage of my survey and interview questions. I have adopted a validation checklist from the internet composing of 15 items with a 4-...
Kenzo's user avatar
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Help selecting an interpretable model to measure the impact of customer journey touchpoints on satisfaction

Context I'm working on a project where I need to undestand the impact of customer journey touchpoints on satisfaction. My goal is to create an interpretable model rather than a purely predictive one, ...
João Bugelli's user avatar
3 votes
2 answers
131 views

Cronbach alpha for non-Likert & Likert survey

I have a thesis ongoing and I have a survey that needs for reliability testing. I was advised to do a Cronbach's alpha test. My survey consists of two parts: Part 1: All questions have varying number ...
Kenzo's user avatar
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R survey package: compare weighted prevalence with literature result

I have a large dataset (>3000 cases) with results of serological tests. Based on these results i want to calculate the weighted prevalence of the disease. The data is categorical (0 = disease ...
Zoetzurechucky's user avatar
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128 views

Given a multiple-choice survey, test the hypothesis that choice i is more common in the population than choice j

I have a survey with m possible choices, only one answer allowed for respondent. Let $n$ be the sample size, and $\tilde{p}_k=\frac{n_k}{n}$, $k=1,\dots m$, the observed frequencies for each choice. ...
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Pre-registration of data that is already collected

I collected survey data in late 2018 through mid 2019. With the pandemic and other projects, I haven't had time to do anything but enter the data. I have not yet analyzed the data, or even looked at ...
CJ Survey's user avatar
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Evaluating the statistical significance of survey's responses

I'm a teacher doing some basic research but I'm out of my waters in anything statistical. Recently I submitted a paper based on a student survey which aimed at evaluating the impact of a new ...
MyName's user avatar
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comparing two samples drawn using two different sampling methods

This is a hypothetical question, so I don't have a lot of additional details to give. However my question is pretty straightforward: Is it theoretically valid to conduct tests (e.g. for comparing ...
Daniela's user avatar
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Inter-rater reliability for mixed data types?

I am very new to statistics, and I need help determining the the best inter-reliability test for a questionnaire. My questionnaire will be assessed by three raters. I'm just providing the sample of my ...
Ashti's user avatar
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3 answers
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Comparing two groups' answers to 10 Likert questions

I’m having two different groups complete the same survey (they differ in terms of their profession) consisting of 10, 5-point Likert style questions asking how much they agree or disagree that a given ...
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Methods for describing higher level categories (aggregate summarized values or all original values)?

Let's say there is this questionnaire-based study: A restaurant serves these 2 categories: Food ("f") and Drink ("d"). Each respectively has hamburger (f1), fries (f2), and fried ...
bluewater1's user avatar
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1 answer
57 views

How should I analyze my Likert scale data?

I am a high schooler conducting a survey on a group of 20 other high schoolers. They will take a 10 item pretest questionnaire containing 9 5-point Likert scale questions and 1 short-answer response ...
windlevane's user avatar
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Should I go with an unrotated factor analysis model?

I'm running a project on survey data where I have a bunch of very similar operationalizations of my DV (four different indices of my DV). Let's call it support for X behavior. All of them are ...
tank12758's user avatar
2 votes
1 answer
61 views

Data taken from survey where survey-takers self report a continous variable

I have a problem with some health data that I'm trying to analyze. The main issue originates from a census variable is derived from self reported times. The variable is sleep duration, which is ...
Ender_The_Xenocide's user avatar
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How to calculate weighted mean when your sample is unweighted, but you know your population

Lets say I have the following sample data. ...
quant's user avatar
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Correspondence between SAS proc surveyreg and R svyglm [closed]

I am trying to model my proc surveyreg from SAS in R, because their survey package provides an IV option that I intend to use. <...
Stine Fürst's user avatar
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1 answer
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Can a wrongly specified lavaan SEM lead to huge effects?

I am trying to replicate a study that created a structural equation model (SEM) to explain effects on the intention to reduce meat consumption. The interactions of the latent variables are as follows: ...
nioco's user avatar
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1 answer
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How to treat age-eligibility thresholds in household surveys (e.g. HRS)?

Most household surveys have age-eligibility thresholds. The HRS interviews individuals aged 51 and older, plus their spouse (if any) using PPS sampling. Do I need to drop individuals who are younger ...
cascom's user avatar
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How to identify statistical significance in a difference between means of grouped survey questions

I'm looking at some survey data where the questions were on a Likert scale. For each question I get what percentage respond positive/neutral/negative. There are on the order of 30,000 survey ...
jerH's user avatar
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Using original or imputed datasets in analysis plan for survey data?

I'm working with survey data that includes about 100 variables and about 3,500 respondents. Out of the 100 variables in the dataset, a lot of them had more than 5-10% missing data, and many were ...
Ask128453's user avatar
1 vote
1 answer
33 views

Estimate multivariate distribution with several variables on real data (continuous and categoricals) and sample from it

I have a complex dataset, collected through a survey, with both continuous (such as Age, Body mass index, etc..) and categorical variables (i.e. Gender, Education, etc..). I want to estimate their ...
SchefSTAT's user avatar
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Standard error of the mean for a questionnaire?

I have the standard deviations and means of 7 questions of a questionnaire and also the sample size. How can I calculate the standard error of the mean of the total questionnaire? I know SEM is ...
Lily's user avatar
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1 vote
1 answer
83 views

When to use replicate weights in complex survey analysis

I am curious about when it is recommended to use replicate weights in survey analysis. I compared the usual survey analysis with using replicate weights, as illustrated below. Based on the paper "...
Willi Zhang's user avatar
8 votes
3 answers
1k views

Why is the sample size required peaking at 16600ish for higher levels of population size?

I was calculating the no. of people I need to survey to represent my fairly large population. I used an online calculator: https://www.surveymonkey.com/mp/sample-size-calculator/ When I entered the ...
user399553's user avatar
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28 views

What statistical test should I use to assess changes in Likert scale over 3 points in time?

I had a group of participants that provided responses to a 7-point Likert scale question at 3 points in time (baseline, immediately after a course, and 1 year after the course). What statistical test ...
Shane's user avatar
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1 answer
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R - Confidence intervals for proportion of zero in a stratified random sample

I'm putting together prevalence estimates and CIs for the results of a stratified SRS survey, for which I've already computed weights. The strata are 5 different regions, each observed over time, and ...
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