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, ...

Sampling populations, calculating weighted estimates, and accounting for errors, outliers, and uncertainty are important steps in our work to produce recreational catch statistics. There are two broad ...

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 is data sampling important? Data sampling is a widely used statistical approach that can be applied to a range of use cases, such as analyzing market trends, web traffic or political polls. For ...

For decades the gold standard for public opinion surveys has been the probability poll, where a sample of randomly selected adults is polled and results are used to measure public opinion across an ...

This paper develops a design-based inference mode for the analysis of randomized experiments embedded in probability samples . To generalize results obtained with field experiments to large ...

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 ...