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 ...

Discover how simple random sampling ensures accurate and unbiased population research, offering efficiency and fairness over ...

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 ...

The Public Opinion Quarterly, Vol. 82, No. 4 (Winter 2018), pp. 707-744 (38 pages) Many studies in various countries have found that telephone and internet surveys of probability samples yielded data ...

PROC SURVEYSELECT provides a variety of methods for selecting probability-based random samples. With probability sampling, each unit in the survey population has a known, positive probablity of ...

This paper presents and discusses some new results on the second-order inclusion probabilities of a systematic probability proportional to size sample drawn from a randomly ordered list, also called ...

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 ...

After my post the other day on tracking public opinion with biased polls, someone pointed me to this 2011 article by David Yeager, Jon Krosnick, LinChiat Chang, Harold Javitz, Matthew Levendusky, ...