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Questions tagged [survey]

Refers to 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. Sampling individuals for surveys in stratified populations may require more complex sampling than simple random to get more precise estimates of population parameters. Sampling design and analysis of survey data fall under 'Survey Methodology'.

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What is the center of error ellipse?

Is the center of error ellipse representing true value or observed value?
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33 views

Indications about the population when PCA essentially “fails” to reduce dimentionality

This is more of a conceptual question rather than a methodological one I guess. Let's assume that we have a dataset coming from a questionnaire and after some feature scaling we run a PCA to reduce ...
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12 views

Conjoint Analysis and Demand Estimation

I have a) part wise utilities from conjoint analysis done in a survey(each demand driver as attribute) and b) demand estimation for our product in future. How can we link both these? Basically how ...
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Demand Estimation without data [closed]

I have a very interesting problem. Our client, a major theme park company wants to set up a park in an asian city. They want to a) understand the total demand to the park every week for the future ...
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8answers
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How to treat illogical survey responses

I have submitted a survey to a sample of artists. One of the question was to indicate the percentage of income derived by: artistic activity, government support, private pension, activities not ...
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13 views

How to control/correct for response bias in survey or questionnaire data for Factor Analysis

I would like to apply Confirmatory Factor Analysis (CFA) to a Likert-type questionnaire data. It is supposed that this data is affected by response bias: some patients either overestimated or ...
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21 views

Confidence intervals for survey-weighted Poisson regression in R where counts are totals of the survey weights

Forgive me if this is a very basic question. I am using a large database of healthcare encounters that uses a stratified sampling approach. Each row in the database is a sampled encounter, and has a ...
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12 views

Is this a valid interpretation of the General Social Survey?

https://donotlink.it/PAMW As some of you have probably noted by now, I am not inclined to suffer fools gladly. And the fools I am least inclined to suffer are those who are prone to smugly offer ...
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1answer
25 views

Regression Analysis for Customer satisfaction [closed]

I want to see how Customer satisfaction is related to the following variables (survey metrics): Average response time, Drop off Rate, Click through rate, Number of Active users etc, Number of surveys ...
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2answers
59 views

How can I analyze small sample?

I want to use multivariate OLS on a sample size of 33, but I read somewhere that the rule of thumb is that there should be at least 30 observations to fit one covariate. I want to add around 5 ...
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0answers
9 views

Does X^2 divided to DF converge to F distribution when X^2 is Rao Scott chi squared statistic?

I'm studying Rao-Scott chi-squared test, kind of survey sampling analysis method. It uses when we want to test independence between two variables under complex sampling data instead of Pearson chi-...
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14 views

how to validate a questionnaire that will be used for small population?

I created a questionnaire (likert scale) to measure "an implementation of school principles". the questionnaire will be given to teachers and staff. the population is just 20 persons. should I do ...
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8 views

How to quantify variance of sample vs population using only quintiles?

I have a sample of 1000 respondents who have completed an http://equitytool.org survey. The purpose of the Equity Tool survey is to estimate how similar the distribution of wealth is in my sample vs ...
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12 views

What is the impact of seed weights in raking (iterative proportional fitting)?

In survey weighting, I've seen that first a design weight adjustment is made (to reflect over- or under-sampling), and then a non-response adjustment is made (to reflect groups that are less likely to ...
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1answer
48 views

Can I combine several ordinal questions to create an independent variable? [duplicate]

I am currently doing a research and recently encountered a few statistical concerns. I am basing this question on the following post. My question is quite similar to the above-mentioned one but has ...
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14 views

Degrees of freedom for successive differences weights

I'm analyzing the American Community Survey integrated public use microdata using the 80 successive differences replicate weights supplied with the 2012-2016 5 Year sample. I'm following the helpful ...
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0answers
11 views

Survey subgroup difference from entire survey or excluding the subgroup?

I have a survey with categorical (nominal) questions. I want to compare subgroups to see if any are noticeably different from each other. Suppose they are ranking their preferred three from ten ...
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12 views

Comparing logit estimates across surveys

I'm estimating adjusted odds-ratios from two separate, nationally-representative surveys. I'd like to conduct hypothesis testing on the estimates, to test if there is a detectable, statistical ...
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12 views

Analysis question for repeated measures data

I am conducting a survey wherein people are offered different hypothetical amounts of money (8 ascending values) to complete a task. For each value, people rate how motivated they would be to complete ...
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0answers
14 views

Using zoo for irregular time series in survey datasets

For my research I am using large survey datasets (essentially pooled cross-section, sometimes panel) which are carried out in waves. For example: in one country a 1000 surveys were carried out in 2002 ...
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1answer
60 views

Inverting data for Zero-inflated mixed effects models

I am looking for some advice on my analyses, I have been going back and forth between co-authors about the validity of my approach and would appreciate some external input. My data are derived from ...
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0answers
50 views

Margin of Error for poll that allows selecting multiple options?

I have a poll with a known sample size (let's say n=1000) which has results that look like this: ...
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0answers
5 views

Method for predicting whether a change in survey presentation had significant effect on survey response

I am not experienced in qualitative research in general and so I am hoping to get some guidance on this particular question I am dealing with (and perhaps from there I can extrapolate to some more ...
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15 views

How do you deal with MNAR in randomForests?

The problem is the following: In a survey, people are asked to note different qualities of a firm with a note between 0 and 10. For some questions, the interviewer knows that the interviewee can't ...
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Finding patterns of co-occurrence in survey responses

I have responses from 3000 respondents to a number of survey questions and their options. Treating them as binary variables, I get a matrix of respondents vs 1/0 responses (like eg Surveymonkey ...
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8 views

Formalised analysis of questionnaires

I have given a dataset that resembles a questionnaire and I am requested to write a statistics paper on it. I have little to no experience dealing with cross section categorical data. While I have ...
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hypothesis testing of proportions between two groups for survey data

I have a question regarding hypothesis testing of proportions in a survey. The survey has 7,000 full responses and consists of 5 questions, each with 3 possible answers;disagree, don't know and ...
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10 views

How to calculate percentages and ratios for weighted surveys

I have a data set from a survey conducted by an expert across several countries, as depicted below ...
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5 views

Choose a proper weighting method for cross-sectional data (but some data points are related)

I am new to the area of weighting methods and survey data sampling, so I only vaguely know that this might be a direction for my problem. Please kindly direct me to other answers/resources, too. My ...
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1answer
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How likely is a random sample to be significantly similar to the full population?

I am looking for a way to compare the proportions between two data sets of surveys, where individuals can be placed in more than one classification. One of my groups contains the survey results of 10....
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Can combine granuar and aggregated data for regression analysis?

I have survey data conducted across several countries. The survey is repeated every 5-odd years - the participants are chosen randomly each time - it is not a panel, but the survey questions remain ...
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1answer
23 views

Testing Statistical Significance for two different groups that were surveyed

What is the statistical significance test that should be run to see if the results from a smaller group of those surveyed is significant and reflective of the larger group? For instance: 1. Survey ...
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1answer
20 views

Ceiling effect of data-IRT Rasch EFA

Can you do IRT, CFA and/or Rasch if your data has items with large ceiling effects (i.e., no one was choosing the last two options of a 5-point likert scale)? Is it appropriate to do?
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1answer
38 views

Repeated measures, multilevel regression or another type of analysis?

I'm doing an experiment for which I've distributed a survey. People were asked in this survey to rate the attractiveness of 5 other people. I provided four groups of pictures and 1 of those groups ...
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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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13 views

Testing for different attitudes/concepts (or: “isms”) based on responses to survey questions, using R

I want to analyze survey data on political beliefs, ideological orientation, etc. with the aim of testing specific concepts. So let's assume I have k different ...
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The set of variables used for weighing-up changes the resulting estimates

When comparing the effects of the set of variables passed to the svyby function on the resulting estimates and standard errors, I discovered that weighing up a single variable and two variables yields ...
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27 views

How to cluster Categorical/Ordinal Survey Data

I have customer survey response data from Surveymonkey. I want to know what the best method would be for similarity analysis in order to create customer segments. Most of this data is categorical "...
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Mann-Whitney-Wilcoxon-Test: should I transform my categorical data to have more realistic intervals?

I want to know whether old impaired people (75+) are more likely to use less the bus than younger impaired people. My respondents did not indicate the amount of days they travel by bus per year, but ...
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Statistical significance of percentage difference for a poll question with multiple options?

The question is: how to calculate the statistical significance of difference between percentages in the case described below? Suppose we have a poll question with $n$ answer options $A_1, …, A_n$, ...
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How to predict the responses of survey respondents based on demographic training data using R

I have survey data collected from an online representative sample of some 2000 UK citizens. I ask each respondent whether or not they would support a certain tax policy, and each can answer either "...
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Appropriate statistical test binary variables

Basic questions, I know.. any help is appreciated! I conducted a survey on people with an impairment. This survey was either filled online, or by phone: the respondent could choose. I want to know ...
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Test Hypothesis using Binomial Test

I conducted a survey with 116 participants and asked several single choice questions with different numbers of possible answers. I would like to test the hypothesis whether a majority identified the ...
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Analyzing True/False/I don't know quiz answers

I have a stats 101 type question. I am developing an 8-item scale with answer choices, True/False/I don't know. 1=correct, 0=incorrect or I don't know. Scores are summed for a total (high score = the ...
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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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2answers
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Probability of successful charging based on independent historical or sample data

I tried my best to find a solution, but failed to find a decent one. Imagine I want to charge a customer and I have last three days of random charge try data: ...
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PCA and erratic scoring

I have been thinking about PCA when finding latent variables from a questionnaire and I was wondering if PCA can deal with the following example: I give two 1-5 Likert scale questions to a sample, ...
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0answers
44 views

Differences between Stata svy and R survey

I'm trying to replicate example 5.7 in Applied Survey Data Analysis (2nd edn). The text example is in Stata and I'm trying to replicate in R. With my svydesign object, I get exactly the same results ...
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30 views

Experimental design for discrete choice response

I'm designing a survey where people need to choose one of three transportation alternatives. Here are the alternatives, their specific factors/attributes and the levels I intend to use for each: <...
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33 views

Normalizing Survey Scores from Diff Scales

I have a question on the best methodology to scale survey responses that was scored on different scales in order to combine the two. So for example, a older customer satisfaction type survey was ...