Non-Probability Sampling Methods

Non-probability sampling methods are techniques used to select samples from a population where each element does not have a known or equal chance of being included in the sample. Unlike probability sampling methods, non-probability sampling methods do not rely on random selection and may introduce sampling biases. However, they can still be useful in certain research contexts where probability sampling is not feasible or practical. Here are some common non-probability sampling methods:

1. Convenience Sampling: Convenience sampling is one of the simplest and most common non-probability sampling methods. It involves selecting participants based on their availability and accessibility. Researchers typically recruit individuals who are convenient to reach or readily available to participate in the study. Convenience sampling is quick and convenient but may introduce selection bias since participants are not randomly selected and may not represent the entire population.

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