Non-probability Sampling

Non-probability sampling is a method in which the probability of selecting any particular member from the target population is unknown and not quantifiable.

It is cost-effective and time-efficient but presents challenges such as bias and limited relevance.

There are four common types of non-probability sampling. These include convenience, judgment, quota, and snowball sampling.

Convenience sampling involves choosing easily accessible participants, such as surveying mall shoppers about their buying experiences.

Judgmental sampling involves researchers selecting participants using specific criteria, such as companies choosing customers with particular purchase histories to understand preferences and behaviors.

Quota sampling ensures diverse population representation by selecting customers based on predetermined quotas. For example, a vehicle insurance survey might target various ages and incomes to understand consumer preferences.

The last method, snowball sampling, allows existing participants to recruit new participants, enabling researchers to study niche communities.

For example, initial gamers refer others in their networks, providing insights into the preferences and behaviors of this specific audience.