One form of non-probability sampling is convenience sampling, meaning sampling based on accessibility and opportunity. For instance, we can draw our participants from patients at various hospitals.

Non-probability Sample: A sampling approach that does not confer every population member a known probability of selection, often necessitating additional statistical adjustments.

These results are consistent with the conclusion that non-probability samples yield data that are neither as accurate as nor more accurate than data obtained from probability samples.

What is “non-probability” sampling? Non-probability samples are those selected in such a way that we cannot estimate the chance (or probability) that any given individual in the sample was included.

This study reports the findings of a comparison between different non-probability sampling methods applied in a WWW-user-survey.

Haibo Zhou, Wangli Xu, Donglin Zeng, Jianwen Cai, Semiparametric inference for data with a continuous outcome from a two-phase probability-dependent sampling scheme, Journal of the Royal Statistical ...

Computing (ratios of) normalizing constants of probability models is a fundamental computational problem for many statistical and scientific studies. Monte Carlo simulation is an effective technique, ...