Social and economic scientists are tempted to use emerging data sources like big data to compile information about finite populations as an alternative for traditional survey samples. These data ...

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 ...

The 8th ESRA (European Survey Research Association) Conference was held in Croatia in July 2019, which staged 220 sessions on survey research. Among them, this article focuses on the latest cases of ...

UK – At a lecture hosted by the International Journal of Market Research (IJMR), researchers from Kantar, NatCen and Ipsos Mori discussed the future of random probability sampling. Random probability ...

This is a preview. Log in through your library . Abstract This paper deals with two schemes, π-inverse weights and best linear unbiased weights, for weighting of observations drawn by unequal ...

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 ...

1. Distinguish between probability and non-probability sampling and discuss the advantages and disadvantages of each. If you can not specify the probability that any given individual will be in the ...

One possible explanation for the variability in estimates across the different nonprobability samples is the range of methods that online sample vendors employ. They differ on recruitment, weighting ...

Mark Blumenthal and Natalie Jackson of Huffpost Pollster write: If you read polls in the news, you’re probably familiar with the term “margin of error.” What ...