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0
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1answer
20 views

Non-response bias (many waves, time span between waves not consistent)

I want to ask regarding non-response bias. I have sent my questionnaire on-line to SMEs in Malaysia. However, I have sent reminders many times (around 5 times). However, now I cannot recall when the ...
0
votes
1answer
27 views

Margin of error (questionnaire response)

I sent a postal questionnaire to 1618 schools. In total, 220 responded (13.6% response rate). For one question, which had Yes, No and Don't know response options, 217 schools responded (Yes=85, ...
2
votes
2answers
94 views

Sample size vs response rate, which is more important?

While I was preparing an internet survey, I read from multiple sources which says it is more important to have a high response rate than large sample size. Q1. I don't quite understand the logic ...
3
votes
0answers
95 views

recommendations to analyze a survey of the entire sample frame with a 20% response rate

we surveyed all 10,000 professionals in a particular industry. The industry is highly-regulated, so we have contact information for everyone in our population of interest. We attempted to contact ...
3
votes
1answer
146 views

Calibration of weights for market research survey

I have a stratified random sample based on sampling frame formed from our CRM systems data. Now when I look responses in different strata they seem to differ. Some stratas have much higher ...
0
votes
1answer
70 views

self-selection bias due to nonresponse?

I have administrative data from the whole population of new doctorates, in a given year, from my region. We have also survey data from a sample of this same population (where the whole population was ...
0
votes
2answers
160 views

How can I handle the non-response in this simple random sampling?

I am planning to conduct a simple random sampling for a population of $N$ patients with index $1,...N$. I have enough money to interview $n$ patients (sample size=$n$). In order to determine the ...
1
vote
1answer
122 views

Chi Square Test, to include or to exclude Non-Responses?

I want to apply a Chi-Square test, but I'm not sure whether to include or exclude non-responses. For example, I want to see if GENDER (male, female) is correlated with SATISFACTION on some public ...
1
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0answers
57 views

Categorical Binary Variable

I'm attempting to draw an inference of accuracy be it by confidence interval or response rate, except typical methods don't really suite my problem for the reason that the entire population was ...
5
votes
1answer
349 views

Can one compute confidence intervals for a census with high nonresponse rates?

If a questionnaire was administered to an entire population (group of interest) and the response rate was 68% can the questionnaire results be generalized to the population (100%, including the 32% ...
4
votes
2answers
175 views

For “Was this page helpful” data, should I take response rate into account?

To help me focus on which pages on a site to improve, I'm looking at user feedback to the question "Was this page helpful?" (Answers are "Yes" or "No".) The response rate (responses divided by unique ...
0
votes
0answers
126 views

Non-response bias

I have the following question: In a survey, a simple random sample of 1,000 households was drawn to determine the distribution of household size in a city. Interviewers were required to visit ...
1
vote
0answers
156 views

Predicting response propensity in a rolling data collection

I'm working with a survey that uses a rolling data collection format (i.e., there are multiple waves of sampling and initial contacts). I'm trying to develop a model to predict how likely a sample ...
5
votes
4answers
760 views

How to avoid and handle survey non-response?

One objective of a survey can be to understand the proportion male vs. female users. To the extent a specific gender correlates to particular use cases of a technology, product design, product/feature ...
1
vote
2answers
277 views

Non-response rate

In a project that I am doing to evaluate customer behaviour, I have asked a set of questions such as whether they read the unit pricing before they decide to purchase a particular product or do they ...
3
votes
6answers
479 views

Inference to the population when the survey response rate is only 30%

I have conducted a survey in which the questionnaires were sent out to 450 individuals, but only 30% of them answered the questionnaires. Is it still valid to interpret the usual inference analysis ...
3
votes
1answer
844 views

How to calculate confidence interval when only a part of the samples are valid?

I will simplify our problem in this way. Say there are 100,000 cases in total to examine. Due to the time limitation, we randomly selected 2,000 of them. Then we found 1,000 of them are invalid, so we ...