What are the implications for using a convenience sample on

Solution

A convenience sample is not representative of the population it is drawn from, so you should be very careful about making any inferences about the population based on the results of the sample as they are likely to be inaccurate. Convenience sampling is also known as grab, opportunity, accidental or haphazard sampling. With this method, the researcher uses subjects that are easy to reach. As the name describes, the researcher chooses subjects because of convenience. Some examples of convenience sampling are when students use their classmates in a research study or a television reporter interviews people on the street. Convenience sampling is a nonprobability method. This means that subjects are chosen in a nonrandom manner, and some members of the population have no chance of being included. With nonprobability sampling, researchers have no way of calculating how well their sample represents the population as a whole. In general, probability sampling is considered to be more stringent and accurate than nonprobability sampling, but it is not always feasible.