There is an ongoing debate in the survey research literature about whether and when
probability and nonprobability sample surveys produce accurate estimates of a larger …

Surveys are a crucial tool for understanding public opinion and behaviour, and their
accuracy depends on maintaining statistical representativeness of their target populations …

The long-standing approach of using probability samples in social science research has
come under pressure through eroding survey response rates, advanced methodology, and …

Selection bias poses a substantial challenge to valid statistical inference in nonprobability
samples. This study compared estimates of the first-dose COVID-19 vaccination rates …

Adaptive survey design refers to using targeted procedures to recruit different sampled
cases. This technique strives to reduce bias and variance of survey estimates by trying to …

Rising costs of survey data collection and declining response rates have caused
researchers to turn to non-probability samples to make descriptive statements about …

Morris Hansen made seminal contributions to the early development of sampling theory,
including convincing government survey administrators to use probability sampling as …

Background Information related to herpes simplex virus 1 and 2 (HSV-1 and 2), varicella-
zoster virus (VZV), Epstein-Barr virus (EBV), and cytomegalovirus (CMV) seroprevalence in …

In 2019, a group of computer and social scientists began a project to converge these
disciplines, with the aim of harnessing data from social media to improve our understanding …

Recently, attention was drawn to the failure of two very large internet-based probability
surveys to correctly estimate COVID-19 vaccine uptake in the US in early 2021. Both the …