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 ...

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 ...

Why do pollsters make such a big deal about probability sampling? You'd think that choosing people to interview should be easy. Take three of these, four of those, and two of the other. But it's not.

Public Editor’s Note: Almost every day, in our Public Broadcasting Service Public Editor’s email box, we receive written questions and concerns from confused or misdirected audience members who ...

Problems involved in the application of probability sampling strategies to woodland environments are discussed and illustrated by example. The results of the sample and the field tactics employed in ...

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, ...

Following 2017, the NHK Broadcasting Culture Research Institute carried out an experimental web/mail mixed-mode survey using probability sampling from the Basic Resident Register to validate its ...

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 problem of estimating the variance of the ratio estimator in sampling with probability proportional to aggregate size is investigated. The form of nonnegative unbiased variance estimators is found ...

The COVID-19 pandemic has infected over 38 million people around the world and is showing no signs of going away any time soon. Researchers worldwide are frantically working on developing an effective ...