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Populations and Convenience Samples

Give me an example of when your population and your sample could be the same. Is this possible?

What is a convenience sample and why are they used so readily? What are the limitations of using a convenience sample? How can you reduce those limitations?

Have you read a research article that listed limitations of their study because of something to do with the sample? Give one example of this.

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There is something called a niche market - this is when a group of people have a common interest. For example, all people who enjoy knitting would be considered a niche market. If your niche is small and specific enough - (everyone who has a phd in molecular physics for example), then you can have the entire population in your research, and there is no need to take a random sample of these individuals. Remember the reasons of why we take samples from the population; often the population is too big, and it would be too expensive, too time consuming and unfeasible to include everyone in your research. That is why we pull a random sample from the population to include in our research. ...

Solution Summary

This posting shows situations where your sample and your population can be the same. It also explains the pros and cons of a convenience sample. It then shows a real world example that had major limitations due to sampling dealing with Nurses in Public Heathcare system.