Non Probability Sampling
Read the below paragraph
and explain what is meant by: non probability sampling may not be as accurate
as probability sampling methods
When the analysis is a based on an
entire group or in other words all of the members of the group under study then
the population is in place. A sample is taken when this population is too large
to measure each one of the members. Think about it from this perspective, if
you were investigating McDonalds restaurants, all the McDonalds restaurants in
the world would be your population but the sample would be those restaurants
that you study.
Probability sampling is similar to
pulling a number out of a hat. In the McDonalds scenario if data is needed from
the restaurants, one way for obtaining the information would be to draw a
sample for a survey based on the zip codes of the specific restaurants. This
would be a probability sampling. However, in non-probability sampling the
researcher could simply decide to drive to a specific McDonalds restaurant and
obtain the information through the survey. Although non probability sampling is
a convenient way to conduct a survey, it is not as accurate or rigorous as
probability sampling methods.
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