Which sampling method does not require a frame?

Verified step by step guidance

1. Understand what a sampling frame is: it is a list or a database of all the members of the population from which a sample is drawn.
2. Recall that some sampling methods require a complete list of the population (a frame) to select samples, such as simple random sampling or systematic sampling.
3. Identify sampling methods that do not require a frame, such as convenience sampling, quota sampling, or snowball sampling, where samples are selected without a predefined list.
4. Focus on the key characteristic of these methods: they rely on accessibility or referrals rather than a complete population list.
5. Conclude that the sampling method which does not require a frame is typically a non-probability sampling method like convenience sampling.

Key Concepts

Sampling Frame

A sampling frame is a list or database containing all members of the population from which a sample is drawn. It serves as a reference to ensure every individual has a chance of selection. Some sampling methods require a complete frame, while others do not.

Sampling Methods Without a Frame

Certain sampling methods, like convenience sampling or snowball sampling, do not require a predefined list of the population. These methods select samples based on accessibility or referrals, making them useful when a frame is unavailable.

Probability vs. Non-Probability Sampling

Probability sampling methods rely on random selection from a known frame, ensuring representativeness. Non-probability sampling methods do not require a frame and often involve subjective selection, which can introduce bias but are practical in some contexts.