In non-probability sampling, the sample is selected based on non-random criteria, and not every member of the population has a chance of being included.. Common non-probability sampling methods ...

Non-probability samples provide a challenging source of information for official statistics, because the data generating mechanism is unknown. Making inference from such samples therefore requires a ...

Survey sampling and estimation methods form the cornerstone of modern statistical inference, underpinning research across the social, medical, and natural sciences. At their heart, these methods ...

Sampling is a critical component of statistical data analysis. It allows analysts to make informed decisions and inferences about a population by studying a representative subset, rather than the ...

With a population of over 40 million users worldwide, a number doubling every year, the internet has become a medium with distinct business opportunities. To academic and commercial researchers, the ...

Our third Methods 101 video explores some of the ways that nonprobability surveys differ from traditional probability-based polls. How do pollsters conduct surveys online and what does that mean for ...