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 ...

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design-based model when there is info about stratification but not about clustering

I intend to estimate a couple of inequality indices in Latin America using the 2014 AmericasBarometer. It is probably the only recent survey covering a large number of countries in the region, with +- ...
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12 views

Surveying the whole sample space [on hold]

Are there instances when surveying just a sample of the sample space is better than surveying the whole sample space?
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5 views

Making sense of Item Discrimination and Item discrimination index

I recently completed a questionnaire administration pre and post an intervention. The sample size was 157 for 13 items. I ...
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1answer
20 views

Data stratification for long-tailed distributions

I'm encountering a few problems successfully stratifying a dataset that is long-tailed to the right. In my research, I came across this excellent response: Sampling from a long tailed distribution ...
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9 views

Comparing two groups of ordinal survey data?

I am trying to compare two (theoretical) independent groups of surveys with a 5 point ordinal scale (1 - greatly disagree, 5 - greatly agree). Both group A and group B received the same 10 questions ...
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29 views

How to use a Likert-type scale in this case? [migrated]

I am very interested in a survey employing a Likert type scale in my research. I have come across the Rosenberg Self-Esteem Scale. I would like to use this scale to get a sense of how subjects feel ...
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8 views

Is there any research that compares Likert scale questions to “satisfaction” scale questions?

I'm trying to put together a questionnaire for measuring employee satisfaction with an internal process. I'd like to figure out if there is reason to prefer: ...
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29 views

Longitudinal pre-post test/follow up

I am an undergrad student trying to get my head around statistical analysis. Can someone help me to make sense of the best way to analyse my data? ANOVA, ANCOVA, t-tests....it is all a foreign ...
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21 views

Analyzing questionnaire data with control group

I have 12 questions weighted on a 5-point Likert scale. 20 people responded to each question, so we have 20 rows and 12 columns, with each cell ranging from 1 to 5. Questions 1-4 measure a random ...
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2answers
108 views

Approaches for generating synthetic survey data with dependent answers?

I would like to produce synthetic survey data. At the moment I produce independent answers between questions according to an arbitrary discrete distribution as in this question. I want to generate ...
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41 views

Analysis of survey data

This is the first time I am analyzing a survey. I have limited knowledge about stats and the best practices and would appreciate some pointers as to what kind of analysis I should perform on the data. ...
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23 views

Post stratification weights and the survey package in R

I have survey data that needs to be weighted, and to help me with this task, I have access to the full joint distributions of the variables I want to use. As I understand it, I should use the ...
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1answer
29 views

For a conjoint analysis in SPSS, I have 16 cards, but some combinations are unrealistic. Do I still include them in my survey and analysis?

I ran an orthogonal design for my conjoint plan and ended up with 16 cards to test. However, not all combinations make sense in the real world. I'm afraid that if I exclude the cards that are ...
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2answers
22 views

Online Panel For Survey - Can It Be Representative?

I am thinking of using a company that has an online panel to recruit participants for a questionnaire study. Because the demographics (age, gender, region etc) of the entire population is known ...
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29 views

Statistically prove that answers to questionnaire are not correlated to questions

I have a questionnaire of 4 "yes-no" questions: A1,A2,B1,B2. The correct answer for A1 and A2 is "yes", and the correct answer for B1 and B2 is "no". I need to statistically show the fact that ...
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1answer
32 views

R : using survey package to run t-test on sub population of weighted data set

I have a large set of weighted data. I have loaded it into a survey design and would now like to run t-tests on sub-populations. example: ...
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19 views

Normalizing interview scores

Our school debate team is interviewing potential new members. There are a lot of applicants, and so we have decided to only have six of us present at any given interview. We are judging each of the ...
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12 views

Analysing ordered non numerical data from a survey

I'm working on a social experiment which involves basically asking people to order a bunch of images from best to worst, according to their own opinion. The objective is to select the best (ordered) ...
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1answer
27 views

Preparing a survey questionnaire

I have want to prepare a survey, the data from which will be used for conjoint analysis. The next phase would require doing a price elasticity study. The study is for a cosmetic product.The company ...
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1answer
55 views

Weights in IPSW (inverse propensity score weighting) too high?

I used a logistic regression on a variable indicating whether a person of an address-dataset took part in a survey (1), or not (0). I extracted the probabilities of each person to participate and ...
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10 views

Elastic net is being used in genome wide analysis. Similar approach would work for survey analysis?

I'm approaching the elastic net procedure for genome wide analysis (GWAS) because it allows for feature selection, groups detection and improved validity. It's a powerful technique when you have many ...
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34 views

Probability: Unlimited Amount

I made a program to guess on a multiple choice test with an unlimited amount of questions. I want to know the chances of getting 5 questions correct in a row. There are 4 choices on each question. ...
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11 views

Sub-Questionnaire analysis

I want to carry out regression analysis between organisation performance and HRD practices in organisations. For that I have sorted out Five Major heads that are HR planning, Incentive Practices, ...
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29 views

r linear regression mistakenly giving me r2 value of 1 [duplicate]

I'm using R to create a linear regression model from survey data about public sentiment for a new technology. I am encountering a problem where the addition of a new explanatory variable raises the ...
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1answer
34 views

Visualising individual observations in weighted data

Context: I have a survey where I have deliberately oversampled particular groups of respondents. I am aggregating these groups and therefore I am using measures such as the weighted mean to ensure my ...
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33 views

Borda Count (Weighted Sum) vs Weighted Mean

I recently ran a survey where I gave users 36 options and had them rank their top 10 from most important to least important. I've taken the results and assigned each position a weight (i.e. ranked ...
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1answer
65 views

When a CFA model has a “covariance matrix was not positive definite” problem, is it due to the dataset or the model?

I am testing several CFA measurement models with Lavaan in R. The questionnaire that I am investigating has been shown to be composed of 1-factor, 3-factor, and 4-factor. In the dataset, I found ...
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1answer
27 views

Reading recommendations for psychometric refinement

a research project turned up a large number of survey instruments on a specific topic. There is a great deal of conceptual item overlap in these instruments, but they do differ in some key ways, ...
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11 views

Ranked responses across survey questions

We have a set of arthritis disease activity questions. Patients are given a scenario that describes a disease activity level scenario, like (A)"It is not painful to write" or (B)"It is painful to ...
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2answers
40 views

Comparing within-subject z-scores (survey data)

I have some messy survey data, wherein one group of interest (cut on one self-reported behavior) rated every single attribute (7-point Likert scales) higher than any other group. I think this has ...
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47 views

What summary statistics can be applied to the results from a multiple choice question?

I have a list of answers given for a multiple choice question. For multiple choice I mean that from a set of possible answers given, more than one can be chosen. For other answers with single choice I ...
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15 views

Quantifying 'survey bias' in reports

In situations where you know the individuals answering the survey are suspectible to some sort of bias within their responses, is there a way to simply integrate it into inferences made about the ...
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1answer
15 views

Multiple Regression study design - questionnaires

If an existing questionnaire does not exist to tap into a construct, is it better to change the instructions of a preexisting measure that isn't quite tapping into the variable of interest to have ...
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1answer
81 views

How to caculate power analysis in a descriptive study

Hi I'm currently doing a dissertation, its a descriptive quantitative study. The method of data collection is a questionnaire scaled by a 10 point Likert scale. To calculate the sample population ...
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1answer
19 views

Validity of combining surveys and sociodemographics to estimate miles walked in census tracts

I ran across this paper that describes an interesting approach to combining survey and sociodemographic data: Salon. Estimating Total Miles Walked and Biked by Census Tract in California. State of ...
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1answer
237 views

Confidence interval for average treatment effect from propensity score weighting?

I am trying to estimate the average treatment effect from observational data using propensity score weighting (specifically IPTW). I think I am calculating the ATE correctly, but I don't know how to ...
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15 views

Bagging for sparse survey data regression?

A colleague came to me with an idea for training a regression model from a very large but sparse survey data set. In this data set, many variables are available but most respondents only answered a ...
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15 views

Estimate posterior distribution for a group given aggregate data

I have data describing over a 15 million individuals where each item includes variables like these: A. Amount spent on airfare last year B. Brand of shoes C. Number of times visited some website in ...
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19 views

Derived Scale for Exploratory Factor Analysis

Is it appropriate to use a 10 point Likert scale for EFA in the form of Yes/No followed by strength of the response varying from Very Low to Very High? The scores would be assigned as follows Yes/VL ...
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47 views

can individuals resampled in reoccurring cross section surveys be considered as panel dataset?

I have data from a reoccurring cross sectional firm survey, For every year a new sample was selected ( with replacement between years). The data is identified, so I can see the subset of firms appear ...
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31 views

Estimating dynamic panel model with tricky survey data

I have a theoretical model that (given my ideal data set) could be taken to the data with a dynamic panel regression of the following form: $s_{i,t} = \eta_i + \alpha a_{i,t} + \beta b_{i,t} + ...
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22 views

Exploratory Factor Analysis and survey scales

Are there limitations to using EFA on survey data, where some questions have different scales? (ex. some questions are four-point and some are five-point Likert scales; one is on a 10-point scale) ...
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5 views

Does a within groups design necessarily mean the data is matched?

I am seeing conflicting information on this. The design is within groups with 4 groups. Each user experiences all four groups in a random order. There is no real reason the results of one group would ...
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1answer
51 views

What statistical test to use to examine attitude and which components have strong/weak influnces on attitude? 4-point Likert Scale survey

This is a quantitative study using survey to examine attitude towards online reading. In the survey, there are 5 main components which contribute to overall attitude. Each component has different ...
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19 views

Derivation of the variance of the sample size in probability sampling

I am trying to understand how to derive the variance of the sample size $n$ in a random probability sample from a population of size $N$ with units $i=1,...,N$. Let $I_i$ be a random variable for $i$ ...
3
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2answers
54 views

Survey analysis with missing data by design

I have a survey with 400 responses looking at the satisfaction of customers with a company's service overall, as well as on various specific aspects (website, account manager, invoicing, etc.). ...
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2answers
110 views

Comparing 2 time series in R

I was wondering what kind of tests one would use to compare these two time series. The first data set(in percentages) are results from a weekly survey that asks a YES/NO question on whether someone ...
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47 views

Analysing multiple response question

Suppose I have a survey data set, where sample size is n=50. There is a variable on " What do you like about this product? " Answers: a. Less time consuming b. Low weight c. User ...
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1answer
24 views

How exactly can I determine if customer ratings are based on (employee) vs. just random variation?

We have customer satisfaction surveys, and I can tell at least SOME portion of the variance is due to the employee that helped them. The surveys are all phrased -- how would you rate EMPLOYEE on ...
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1answer
31 views

Inference on survey results

I have user responses to different types of surveys (e.g. "car survey", "lifestyle survey",...). Most of the users have answered just a very small number of surveys. I would like to predict the ...