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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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How should I compare two Likert scales? [closed]

For a research project I am conducting, I am asking 7 different questions in a survey, but each question has two likert scales asking two different things. Both are on a scale of 1-5. I am trying to ...
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Calculate the statistical significance of survey questions

I have a question: How are you ? and two possible answers: Good and Bad. If for example I got over 30 questions ,10 Good answers and 20 Bad answers, which methods I should use to check if the ...
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What process could lead to a sampling distribution of the mean that is approximately skew normal

I have a data set representing guest ratings of various hotels. Unfortunately, I don't have access to the ratings given by individual guests, only to the mean guest rating for each particular hotel. ...
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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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Dummy variable + interaction term or stratified analysis with survey data

I have data where each observation is an individual. Each individual has a value for country, a factor variable. There is a sampling weight variable to make the sample from each country representative ...
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Survey analysis - quantifying individual component effects on the overall measure

I'm pretty new to the survey analysis / stats world but wanted to get some ideas if what I want to do is possible - example below: In my survey, we ask 3 different satisfaction question (say A, B, C)....
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Missing values in questionnaire: What's next?

I'm doing a quantitative research for my paper. Recently, I went to fieldwork for collecting data using questionnaire form. But, when I'm doing a data entry, I faced a missing value for a few ...
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Survey weights: calibration with continuous variables

I'm using the R survey package and trying to run the calibrate function. My setup: For each individual I have age, gender, ...
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35 views

How to apply sampling weights in R

I'm working with a large, national survey that was collected using complex survey methods. In order to make my results representative I need to account for sample weights and other survey design ...
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How to properly evalulate data from multiple Likert scale surveys for multiple groups

A questionnaire was sent at several times T(1,2,3,4) to 3 groups G(A,B,C). Now, for each question i would like to find out whether or not: in the course of time the results have changed the results ...
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Scoring procedure for survey responses

I have a project to create a scoring procedure for respondents answering multi choice psychological questions based on their behavioural metrics. So the responses can be treated as categorical ...
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Comparing Likert Data

I have several 5-item likert scales and would like to compare the results between different surveys. Is there any logical way to score the likert results and compare? Averages don't seem to capture ...
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How do I convert a survey scale [7-point, -3 to 3] to a 7-point scale [1-7]?

I am working with a survey scale that is from -3 to 3. I have a mean value of .94 and I want to identify if there are ceiling effects, but I need to change the entire scale to 1-7 in order to ...
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Clustering Multiple Choice Questions

I am currently evaluating the results of a 72 question survey with response levels from "strongly disagree" to "strongly agree". I would like to cluster the questions by response patterns using R (I'm ...
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How to detect possible fraudulent administration of a survey questionnaire?

I'm involved in a survey on a highly sensitive topic, where I have reason to believe that the subcontractor who was responsible for data collection (a call centre) may have been pressured / paid / ...
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After conducting an EFA, how to score a factor for new participants using its constituting variables?

I study psychology, and I'm learning EFA (again autodidactically -_- bloody middle east).. So I hope you help me with this naive question Scenario I have a questionnaire made, and I was able to ...
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Analyzing pre-post data without a control or random assignment

We want to model the effects of an outreach campaign on people's attitudes towards a species of animal. We surveyed people pre- and post-campaign to ask about: Their attitudes pre-campaign (pre-...
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Estimating prevalence using correlated data from a survey

I have some survey data from a survey. One of the questions asked the survey respondent (ostensibly an adult) to list the age, height, and weight of all persons living in the household (age, height, ...
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Multiple answer survey: building a regression model

I have survey data with respondents choosing up to three policy objectives to be pursued in their city district. Respondents belong to various age groups (18-24, 25-35 etc.) and live in one of the 27 ...
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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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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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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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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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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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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
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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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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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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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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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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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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
53 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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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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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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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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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
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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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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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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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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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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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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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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
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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
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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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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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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 ...