A magazine printed a survey in its monthly issue and asked readers to complete
it and send it back. Over 1000 readers did so.What is the type of thais sampling?
Dear Mohanad Kamaleldin Mahmoud Ibrahim, where is this magazine survey link? My Regards
It is possible to apply probability sampling, which entails random selection and allows for strong statistical judgments about the entire group. Or it may be non-probability sampling, which is a method of data collecting that involves non-random selection based on convenience or other criteria.
Convenient Sampling.
It is Convenient Sampling as it fulfilled the following criteria :
1. As in this process, sample ( readers of the magazine of monthly issues, so ought to regular subscribers) are easily accessible and convenient (as the responder readers volunteered the
Survey randomly in particular time) to be included into the sample.
2. Respoder are not preslected and chance of response by any body was equal.
3.Purpose of sampling in the survey was exploratory to get feedback on certain situation.
Professor Chowdhury/Chaudhury Meshkat Ahmed
I am agreed with your view point that its convenient sampling.
Thanks to share both good question and perfect answer.
My best regards
Dr Sudhir Yadav
There are five types of sampling: Random, Systematic, Convenience, Cluster, and Stratified.
- Random sampling is analogous to putting everyone's name into a hat and drawing out several names. Each element in the population has an equal chance of occurring
- Systematic sampling is easier to do than random sampling. In systematic sampling, the list of elements is "counted off".
- Convenience sampling is very easy to do, but it's probably the worst technique to use.
- Cluster sampling is accomplished by dividing the population into groups -- usually geographically. These groups are called clusters or blocks. The clusters are randomly selected, and each element in the selected clusters are used.
- Stratified sampling also divides the population into groups called strata. However, this time it is by some characteristic, not geographically. For instance, the population might be separated into males and females. A sample is taken from each of these strata using either random, systematic, or convenience sampling.
Although complete information is not given to suggest the best sampling method, in given case it seems more like convenience sampling.
There are many more types of sampling, I agree with what Sandip Kumar Gupta and Manal Hadi Kanaan write. Excellent question
This is an interesting question. I guess there are many types of sampling, like some of you said.
This is not a scientific sample. It is neither (1) a probability-of-selection-based (design-based) approach (the simplest using a simple random sample), (2) nor a (regression) prediction-based (model-based) approach, (3) nor a model-assisted design-based approach, nor do I imagine there is any chance for an exotic approach that might involve many covariates. It is likely a highly biased sample. I suppose it's a convenience sample, and accuracy would not be reasonably determinable.
However, consider this: The respondents would be highly biased towards a stratum of people highly motivated to respond to the survey. This might also, depending on the survey subject and magazine content, be a group motivated to buy the magazine. So, although the results of the survey may be completely worthless, the survey itself could help sell magazine subscriptions. Sigh. Oh well.
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