A key concept in probability-based sampling is that if survey respondents have different probabilities of selection, weighting each case by the inverse of its probability of selection removes any bias ...

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.

Although selecting a probability sample has been the standard for decades when making inferences from a sample to a finite population, incentives are increasing to use nonprobability samples. In a ...

A simple random sample is a subset of a statistical population where each member of the population is equally likely to be chosen.

This sample is probably better, but still not the best.] Draw some more quota samples. Activity 3: Have the students come up with a random probability sample of the class by following these steps: ...

Objectives Similar to researchers in other disciplines, criminologists increasingly are using online crowdsourcing and opt-in panels for sampling, because of their low cost and convenience. However, ...

As the costs and nonresponse rates of traditional, probability-based surveys seem to grow each year, the advantages of online surveys are obvious – they are fast and cheap, and the technology is ...

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 ...