Looks like you do not have access to this content. Entries Per Page:. Methods Map Research Methods. Explore the Methods Map. Related Content. Back to Top. In all forms of research, it would be ideal to test the entire population, but in most cases, the population is just too large that it is impossible to include every individual.
This is the reason why most researchers rely on sampling techniques like convenience sampling, the most common of all sampling techniques. Many researchers prefer this sampling technique because it is fast, inexpensive, easy and the subjects are readily available.
One of the most common examples of convenience sampling is using student volunteers as subjects for the research. Another example is using subjects that are selected from a clinic, a class or an institution that is easily accessible to the researcher. A more concrete example is choosing five people from a class or choosing the first five names from the list of patients.
In these examples, the researcher inadvertently excludes a great proportion of the population. A convenience sample is either a collection of subjects that are accessible or a self selection of individuals willing to participate which is exemplified by your volunteers. Researchers use convenience sampling not just because it is easy to use, but because it also has other research advantages.
In pilot studies , convenience sample is usually used because it allows the researcher to obtain basic data and trends regarding his study without the complications of using a randomized sample. This sampling technique is also useful in documenting that a particular quality of a substance or phenomenon occurs within a given sample.
Such studies are also very useful for detecting relationships among different phenomena. The most obvious criticism about convenience sampling is sampling bias and that the sample is not representative of the entire population. This may be the biggest disadvantage when using a convenience sample because it leads to more problems and criticisms. Systematic bias stems from sampling bias. This refers to a constant difference between the results from the sample and the theoretical results from the entire population.
It is not rare that the results from a study that uses a convenience sample differ significantly with the results from the entire population. A consequence of having systematic bias is obtaining skewed results. Since it is usually biased, probability sampling gets the measurement parameter with it to keep this sampling bias under check. After receiving a fair idea about this bias using probability sampling, the researcher can use both convenience sampling and probability sampling techniques to draw a more accurate estimation.
The probability aspect used, along with convenience sampling, will have to be powerful enough to overcome it. This bias can be reduced or eliminated by including probability sampling. Here are three quick hacks to efficiently analyze convenience sampling data. It is best to use probability sampling, but when that is not possible, here are three hacks you should keep in mind. Though you're welcome to continue on your mobile screen, we'd suggest a desktop or notebook experience for optimal results.
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Workforce Powerful insights to help you create the best employee experience. Convenience Sampling: Definition, Advantages and Examples.
What is convenience sampling? Select your respondents A good example of convenience sampling is: A new NGO wants to establish itself in 20 cities. Applications of convenience sampling: Convenience sampling is applied by brands and organizations to measure their perception of their image in the market. Convenience sampling examples: A basic example of a convenience sampling method is when companies distribute their promotional pamphlets and ask questions at a mall or on a crowded street with randomly selected participants.
Top six a dvantages of using convenience sampling Here are the advantages of adopting a convenience sampling approach: Collect data quickly: In situations where time is a constraint, many researchers choose this method for quick data collection.
The rules to gather elements for the sample are least complicated in comparison to techniques such as simple random sampling , stratified sampling , and systematic sampling. Due to this simplicity, data collection takes minimal time. Inexpensive to create samples: The money and time invested in other probability sampling methods are quite large compared to convenience sampling.
It allows researchers to generate more samples with less or no investment and in a brief period. Easy to do research: The name of this surveying technique clarifies how samples are formed. Elements are easily accessible by the researchers and so, collecting members for the sample becomes easy. Low cost: Low cost is one of the main reasons why researchers adopt this technique.
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