Results 171 to 180 of about 1,222,703 (195)

Estimating Response Propensities in Nonprobability Surveys Using Machine Learning Weighted Models [PDF]

Mathematics and Computers in Simulation
Propensity Score Adjustment (PSA) is a widely accepted method to reduce selection bias in nonprobability samples. In this approach, the (unknown) response probability of each individual is estimated in a nonprobability sample, using a reference probability sample.
Maria Mar Rueda, Ramón Ferri-García, Beatriz Cobo Rodríguez   +2 more
exaly   +9 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.J. Forster, Forster, J.J.
exaly   +3 more sources

Evaluation of Available Techniques and Their Combinations to Address Selection Bias in Nonprobability Surveys

AStA 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.
Maria Mar Rueda, Ramón Ferri-García, Beatriz Cobo Rodríguez   +2 more
exaly   +4 more sources

Fraud in Online Surveys: Evidence From a Nonprobability, Subpopulation Sample [PDF]

Journal of Experimental Political Science, 2023
We hired a well-known market research firm whose surveys have been published in leading political science journals, including JEPS. Based on a set of rigorous screeners, we detected what appears to be exceedingly high rates of identity falsification ...
Thomas Gift, Andrew Bell
exaly   +2 more sources

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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
Jason Barabas, Jennifer Jerit
exaly   +2 more sources

Comparing the Accuracy of Univariate, Bivariate, and Multivariate Estimates Across Probability and Nonprobability Surveys With Population Benchmarks [PDF]

Sociological Methodology
Previous studies have shown many instances where nonprobability surveys were not as accurate as probability surveys. However, because of their cost advantages, nonprobability surveys are widely used, and there is much debate over the appropriate settings
Björn Rohr
exaly   +2 more sources

Probability, Probability-Based, and Nonprobability Surveys in Psychiatric Epidemiological Research

JAMA Psychiatry
Importance As mental health challenges continue to increase globally, using rigorous surveillance frameworks is essential for delivering nuanced population-level insights and informing evidence-based policy decisions.
Yajuan Si, Ronald C. Kessler
exaly   +3 more sources

Relations Between Variables and Trends Over Time in Rdd Telephone and Nonprobability Sample Internet Surveys

Journal of Survey Statistics and Methodology, 2020
Abstract Survey researchers today can choose between relatively higher-cost probability sample telephone surveys and lower-cost surveys of nonprobability samples of potential respondents who complete questionnaires via the internet. Previous studies generally indicated that the former yield more accurate distributions of variables, but ...
Josh Pasek, Jon Krosnick
exaly   +2 more sources

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, William R. Andrews, John Foster   +2 more
openaire   +1 more source

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, Laura J Gamble, Matthew Klapman, Lan Xue, Virginia M Lesser   +4 more
openaire   +2 more sources