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 ...

learn more… | top users | synonyms (2)

0
votes
1answer
17 views

statistical test for analyzing survey data

One question of my survey (n=468) was to indicate on a scale from 1 to 5 how well they know our government. My hypothesis is that women know our government better than men. What statistical test do I ...
1
vote
0answers
11 views

Simple random sampling - No natural strata

I have data from surveys given out to visitors to a branch of my organization. A random sampling of these visitors without regards to any strata was used to determine who gets the survey. Given that ...
3
votes
0answers
32 views

Do I still need to include variables used to generate weights in a regression model when applying inverse probability weighting in estimation?

Say, I would like to run a regression like this: $y = x_1+x_2+x_3+x_4+x_5$. And I used $x_3$, $x_4$ and $x_5$ to generate a inverse probability weight($\pi$) for the availability of $y$. I generate ...
0
votes
0answers
17 views

Some variables represented well on 1st dimension, others on 2nd dimension in correspondence analysis output

I'm performing correspondence analysis on survey data (n~5000). My problem is that 3 groups of respondents (that I personally created) are well represented on one dimension (e.g., height) and the ...
0
votes
0answers
6 views

What is the appropriate test of association with one nominal variable and one (ordinal) Likert scale variable?

I have one nominal variable and one (ordinal) Likert scale variable. I've read that in this situation the most appropriate test is the mantel-haenszel linear-by-linear test. However, I've found may ...
2
votes
0answers
58 views

PCA for questionnaire reduction

I'd like to have some opinion regarding if I'm in the right way with my questionnaire reduction. I have a questionnaire with 275 questions and 34 issues (so a couple of questions are related to each ...
3
votes
1answer
24 views

Inconsistent P-Value and Wald Confidence Interval in R Survey Package

I am using the svyglm function in the survey package in R to fit logistic regression models ...
0
votes
0answers
6 views

Weighted binomial confidence interval in Stata [migrated]

I am trying to compute a binomial confidence interval for a dummy variable after specifying the survey design in Stata with the svyset command but I get the ...
1
vote
0answers
29 views

How many « degrees of freedom » should a Wilcoxon rank-sum test have?

I would like to perform a Mann-Whitney U Test (also called Wilcoxon rank-sum test) on a weighted sample in R. Such a non-parametric test is required, as neither of the two variables used follow normal ...
1
vote
1answer
13 views

for a survey conducted in 3 countries, how to examine the equivalence of factor structure by country?

We conducted a survey in 3 countries, and we want to run factor analysis (EFA) to identify latent factors. With the combined data sets, we can run EFA to develop factors. But to examine the ...
2
votes
2answers
56 views

how to check missing data is missing at random or not?

I have a survey data, in which there are some missing data (not answered questions). I threw away those where the whole page(s) questions were missed, but there are still some with unanswered ...
0
votes
0answers
16 views

Regression Analysis of Stratified Samples

What is happening in standard survey libraries in statistical software when "strata" are declared in e.g. regression analysis? Are strata typically treated as fixed effects? More broadly, how might ...
1
vote
0answers
25 views

IRT modeling for questionnaire develop with a clinical:normal population of 15:1

I am trying to apply IRT to a questionnaire for screening purpose -- I have 3000 clinical population but only 200 normal population, would the result useful? The item plots and information function ...
0
votes
0answers
7 views

Alternatives to using population probability in Stratified Sample weighting

So my company has always used a proportional stratified sample weighting methodology that is: stratum weight = ( Nh / N ) * (n/nh) Where nh is the sample size for stratum h, Nh is the population ...
1
vote
0answers
26 views

Comparing different scale ranges for one Likert scale instrument

I don't believe this exact question has been asked before. I am conducting a meta-analysis on a certain Likert scale survey instrument that has been psychometrically validated. It is a 16 question ...
1
vote
0answers
20 views

What is demeaning data & what is its purpose?

What is demeaning a data? When it should be done? Or what is its use? Is it necessary to do for a cross section survey data before use for regression analysis?
0
votes
0answers
23 views

Paired T-test vs. Survey Design T-Test with Stratification

What is the difference between survey design based approaches to t-tests when there is a stratified sample and paired t-tests where the pairs are the strata? For example, in R there is a svyttest() ...
2
votes
1answer
31 views

What is the effect of using survey sample weights for a sub-sample?

If a sub-sample of the survey sample, selected based on certain demographic characteristics of the data (e.g. age, race etc.), is used, which means the sub-sample might not be representative of the ...
2
votes
0answers
13 views

Are we lacking interesting Creative Common datasets? [closed]

I and a group of fellows are currently self-teaching some statistical methods using online resources. We mainly use R to tinker with algorithms such as K-means clustering and linear regression. ...
1
vote
0answers
20 views

How can I calculate the average age of survey respondents? [duplicate]

A question in my survey asks about the age of respondents. Respondents are asked to choose one of these four ranges: 18-29 30-49 50-64 65 and over How can I calculate the average age of respondents?
0
votes
0answers
25 views

How can I combine a survey of a population and a survey of a sample of a population?

I have a question about combining survey results that involve a measure of a population and a measure of a sample of a population. Here is what I have: 1) In a given state, I surveyed recycling ...
0
votes
0answers
23 views

Survey data with ranking measurement error

I run a survey. The participant should rank 10 items with weight 1..10. Unfortunately I did not emphasis enough that every weight can be used once. Now I have a mixed dataset. Some items are ranked 1....
1
vote
1answer
21 views

Regression Using Surveys with Unequal Number of Responses

I am trying to figure out how to properly do regression analysis on a data set from a peer-review survey where individuals in the survey have an unequal number of responses. Below is description of my ...
0
votes
2answers
33 views

Difficulties fitting a Cox PH model with categorical interactions to complex survey data

I'm attempting to fit a Cox proportional hazards model to a set of NHANES data; the code to load and clean the data is here, and the resulting dataset is here. The difficulty I'm having is ...
0
votes
0answers
20 views

Weighting components in questionnaire?

I'm working on a questionnaire that is built on 3 large divisions that each exist out of multiple questions (mostly of the likert-scale or categorical type). My research question is what the ...
1
vote
1answer
17 views

Test Retest of highly skewed dichotomous variables

Does anyone have recommendations on how to evaluate test retest reliability with 95% CI (individuals took the same survey 1 week apart) on data that is dichotomous (yes = 1; no = 0) where the data is ...
0
votes
0answers
37 views

When to use ANOVA in questionnaire analysis

As part of my dissertation I have used multiple outcome measures to assess pain, sleep, mood and general health in a chronic pain population. I have correlated some of the measures together to see ...
0
votes
1answer
149 views

PCA vs FA vs ICA for dimensionality reduction in questionaire data

I am trying to identify personality traits underlying the multidimensional data from a questionnaire. In more abstract terms this means reducing the dimensionality of my data from N-dimensional (where ...
2
votes
1answer
45 views

Is the margin of error for a survey a “fake” statistic?

When I conduct a survey for a client, they are often very concerned about the margin of error for the survey, and that’s totally reasonable. Oftentimes however, when they say, “We want a margin of ...
3
votes
1answer
77 views

Cross validation after LASSO in complex survey data

I am trying to do model selection on some candidate predictors using LASSO with a continuous outcome. The goal is to select the optimal model with the best prediction performance, which usually can be ...
3
votes
0answers
14 views

How to deal with implausible answers to filter questions? [duplicate]

I work with a questionnaire that contains a variety of filter questions. In the following I will give an example how one block of this successive questions look like. Have you ever skipped ...
0
votes
0answers
21 views

In testing Heteroscedasticity, when should I use Park Test or Glejser Test?

I am currently running a data analysis on survey data. In testing the heteroscedasticity assumption in Multiple Linear Regression, using Park Test, the research actually passed the test. However, when ...
0
votes
0answers
20 views

Use of weights in PROC GLIMMIX

I am looking to implement a generalised linear mixed model in SAS using PROC GLIMMIX. The data is from a survey, and a single ...
0
votes
0answers
3 views

How do you determine if a self-report subscale is influencing the overall self-report score's significant relationship?

I'm running a series of independent samples t-tests with a self-report and its subscale scores as the dependent variable. Both the overall score and one of the subscale scores show signficantly ...
1
vote
1answer
34 views

Does non-response bias affect the validity of a statistical model?

I want to build a (generalised linear mixed) model on some survey data. The PROC GENMOD command in SAS doesn't admit weighting in the sense of survey weights. I am not interested in population-level ...
0
votes
0answers
12 views

Why I can not perform a Haussman test with pweight data?

I am studying the effect of mobile phone over household development (development as a dependent variable and mobile as a independent). I have a datas et of micro data that are weighed and i am working ...
0
votes
0answers
22 views

Determining the required sample size to meet a bound

A company produces a special kind of utility terminals. It has N = 26016 such terminals out in the field in some city for many years. Over time these utility terminals go bad. The company decides to ...
1
vote
1answer
21 views

Is there a reasonable way to calculate when missing responses in a survey are too much?

I'm conducting analyzing a complex sample design survey of health institutions, which I've 70% of the overall planned sample. However, I've strata as high as 95% and as low as 47% response rate. To ...
0
votes
0answers
5 views

Evaluate (user-defined) variance estimators in simulation environment?

I'd like to examine how a variance estimator that I constructed for complex surveys behaves in simulation environments, in a manner similar (and perhaps much simpler) to what Li and Levy (2009) at the ...
1
vote
0answers
26 views

Looking for “Data gathering is hard and expensive”

I've finished some data mining and machine learning courses and in most of them at the very beginning has been said: "Collecting and pre-processing data is the most expensive and hardest part of the ...
0
votes
1answer
37 views

Factor analysis in Market Research

I am doing a survey to find out customer experience/satisfaction for a specific product. My survey contains a scaling question in which i asked satisfaction level (from 1 to 5) 5 being very ...
1
vote
0answers
5 views

Use 2-measure difference score as primary predictor, or use single measure constructed to assess a difference?

I'm looking for help on a research design question. A colleague and I are looking to examine perceived attractiveness of oneself relative to the "average person" as a predictor of an outcome ...
1
vote
0answers
22 views

Which is the most appropriate analysis

I'm doing my first research and collected quite a large number of response using a questionnaire. In this questionnaire, the dependent variable is assessed using 4 questions with a 5-Likert scale (...
1
vote
1answer
87 views

How do I test if the average difference between two groups are statistically significant?

Suppose I conduct a survey of 1000 males and 1000 females about their age and I found that the average male age is 50 while the average female age is 40. What information do I need and how do I test ...
0
votes
0answers
16 views

Survey sample size

I am trying to learn something about survey design and analyisis and I have a doubt about the number of people that should answer a multipurpose survey in order to estimate several proportions. If a ...
2
votes
1answer
37 views

How to calculate cohen's d (and CI) for survey data

I am working with the TIMMS and PIRLS data. Both data sets use a Jackknife repeated replication design. Both data sets also use 5 plausible values for each student's grade (5 values with different ...
1
vote
1answer
46 views

Controlling for biased audiences in online surveys

For a long time I have been meaning to set up a bunch of online surveys asking a whole range of social questions and publish the results. I am well aware that there are various difficulties to ...
0
votes
0answers
22 views

How to tell if the survey is good enough/valid?

I just used 15-items questionnaires X which has never been used in my culture C. I've found that in my sample (n=150) α = .77, principal component analysis with 5 factors more than 1 eigenvalue, ...
1
vote
2answers
33 views

R svyquantile confidence intervals not returned

Using the very nice survey package in R, I am having some trouble with the svyquantile function. From the function documentation it appeared to me that I could obtain confidence intervals for ...
2
votes
0answers
26 views

comparing survey responses

I have requested 30 participants to answer the same question about 100 images: "How easy is it for you to recognize this image?" on a scale from 0 to 100, where 0 is easy and 100 is difficult. I want ...