Convenience sampling
Rahul
K Ramesh
2048107
Convenience sampling
Definition: Convenience sampling is
a non-probability sampling in which the ease with which participants can be located is the primary
consideration. It is a common sampling technique that is
uncomplicated, economical and members
are readily available to be a part of the sample.
Researchers use convenience sampling in situations where
additional inputs are not necessary for the
research since there are no
criteria required to be a part of this sample. Hence, it becomes simpler to
include elements in this sample.
It is also called accidental sampling or grab sampling.
Application of Convenience Sampling:
The
use of convenience sampling technique is discouraged by many researchers due
to its inability to generalize research findings, the relevance of bias and
high sampling error. But in certain situation convenience sampling is the
only method to adopt.
Convenience sampling is applied by brands and
organizations to measure their perception of their image in the market. Data is
collected from potential customers to understand specific issues or manage
opinions of a newly launched product.
Using
convenience sampling method, we can send a link of the online questionnaire to
individuals on our mobile phone’s contact list, to individuals we are connected
via social medias such as Facebook, LinkedIn, Google+ etc. This would be the
easiest and the most convenient way of collecting the primary data for the
research.
Some
examples:
A simple 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.
Businesses use this sampling method to gather information to
address critical issues arising from the market. They also use it when
collecting feedback about a particular feature or a newly launched product from
the sample created.
Advantages :
· It’s
easy to get a sample.
· It’s
inexpensive.
· Easy
to get participants.
Disadvantages :
· It’s
difficult to generalize the results obtained to the whole population.
· Mostly biased results
is obtained and hence some people never go for this sampling.
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