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.

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

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.

Many nonprobability sample vendors have the ability to provide samples of respondents that, by design, are forced to align with characteristics of the U.S. population. Often those characteristics are ...

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.

This dissertation proposes a novel framework for correcting selection bias in nonprobability samples. The general idea is to construct a set of unit weights for the nonprobability sample by borrowing ...

Web surveys can be conducted relatively fast and at relatively low cost. However, Web surveys are often conducted with nonprobability samples and, therefore, a major concern is generalizability. There ...

Most online polls use nonprobability samples drawn from pools of volunteers and, purists argue, they aren’t worth the digital paper they’re printed on.

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.