Scientific design is always better.
Sampling and Non sampling errors
The related web sites give a good idea of the types of non-random sampling. These include snowball, convenience, quota, self-selection, diversity, expert, and others. Non-randon sampling is usually done because it is less expensive, easier, and quicker than random sampling.
Pros and Cons of a non-probability sampling
the difference is just that non-probability sampling does not involve random selection, but probability sampling does.
Both. But sampling error can be reduced through better design.Both. But sampling error can be reduced through better design.Both. But sampling error can be reduced through better design.Both. But sampling error can be reduced through better design.
Scientific design is always better.
ome suggested ways: Larger samples, Better sample design, Better measurement, Better data validation, Better survey/questionnaire design.
Answer is Quota sampling. Its one of the method of non-probability sampling.
Sampling and Non sampling errors
Non probability sampling is where the samples are not selected randomly.
The related web sites give a good idea of the types of non-random sampling. These include snowball, convenience, quota, self-selection, diversity, expert, and others. Non-randon sampling is usually done because it is less expensive, easier, and quicker than random sampling.
Pros and Cons of a non-probability sampling
Consecutive sampling is very similar to convenience sampling except that it seeks to include ALL accessible subjects as part of the sample. This non-probability sampling technique can be considered as the best of all non-probability samples because it includes all subjects that are available that makes the sample a better representation of the entire population.
hihi
a
Quota sampling.