Results 181 to 190 of about 4,247,563 (222)
Some of the next articles are maybe not open access.

Selection Bias in Nonprobability Surveys: A Causal Inference Approach

, 2018
Many in the survey research community have expressed concern at the growing popularity of nonprobability surveys. The absence of random selection prompts justified concerns about self-selection producing biased results and means that traditional, design-based estimation is inappropriate. The Total Survey Error (TSE) paradigm’s designations of selection
Andrew W. Mercer
semanticscholar   +3 more sources

Evaluation of available techniques and their combinations to address selection bias in nonprobability surveys

open access: yesAStA Advances in Statistical Analysis
Abstract New survey methodologies that often produce nonprobability samples have recently become very important. However, estimates from nonprobability samples can be subject to selection bias, which is primarily caused by the lack of coverage and the respondent’s ability to decide whether or not to participate in the survey.
J. L. Rueda-Sánchez   +3 more
semanticscholar   +3 more sources

Sample surveys: nonprobability sampling.

, 2001
Nonprobability sampling describes any method for collecting survey data which does not utilize a full probability sampling design. Nonprobability samples are usually cheaper and easier to collect than probability samples. However, there are a number of drawbacks.
J. Forster
semanticscholar   +2 more sources

Are Nonprobability Surveys Fit for Purpose?

Public Opinion Quarterly, 2023
Abstract Social scientists employ survey methods to explore the contours of human behavior. Today there are more opportunities to collect survey data than at any time in recent history. Yet sample quality varies dramatically due in part to the availability of nonprobability samples (NPSs) from commercial survey organizations. While these
Jennifer Jerit, Jason Barabas
openaire   +1 more source

A Review of Nonprobability Sampling Using Mobile Apps for Fishing Effort and Catch Surveys

Transactions of the American Fisheries Society, 2021
AbstractTechnology and computational advancements have caused us to rethink data collection and sampling methods that have been the standard for gathering information to guide policy decisions. The availability of new technology such as mobile apps has made using nonprobability samples more attractive because of the speed and low expense that are ...
J. Michael Brick   +2 more
openaire   +1 more source

The effects of survey mode and sampling in Belgian election studies: a comparison of a national probability face-to-face survey and a nonprobability Internet survey

Acta Politica, 2018
National probability election surveys are more and more abandoned. Decreasing response rates and the escalating costs of face-to-face and telephone interviews have strengthened election scholars’ reliance on nonprobability internet samples to conduct election surveys online.
Ruth Dassonneville   +3 more
semanticscholar   +4 more sources

Using Auxiliary Information in Probability Survey Data to Improve Pseudo-Weighting in Nonprobability Samples: A Copula Model Approach

Journal of Survey Statistics and Methodology, 2023
Abstract While probability sampling has been considered the gold standard of survey methods, nonprobability sampling is increasingly popular due to its convenience and low cost. However, nonprobability samples can lead to biased estimates due to the unknown nature of the underlying selection mechanism.
Tingyu Zhu   +4 more
openaire   +2 more sources

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