Serious polling requires careful data collection and careful adjustment. It doesn't mean much to say your poll is a "probability sample" when your nonresponse rate is 90 percent.

Yves Tillé, Matthieu Wilhelm, Probability Sampling Designs: Principles for Choice of Design and Balancing, Statistical Science, Vol. 32, No. 2 (May 2017), pp. 176-189 ...

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 describes certain quota sampling procedures and attempts to show that they are very close to traditional probability sampling. Quotas are shown to depend on availability for interviewing ...

Among them, this article focuses on the latest cases of European countries that attempt to shift their survey methods based on probability sampling from conventional ones such as face-to-face ...

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 ...

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 ...

Researchers from Kantar, NatCen and Ipsos Mori discussed the future of random probability sampling at an IJMR lecture.

What Is a Simple Random Sample? A simple random sample is a subset of a statistical population in which each member of the subset has an equal probability of being chosen. A simple random sample ...

Their study titled, “An Innovative Non-Pharmaceutical Intervention to Mitigate SARS-CoV02 Spread: Probability Sampling to Identify and Isolate Asymptomatic Cases,” was released at the pre ...