Combining Probability and Nonprobability Samples by Using Multivariate Mass Imputation Approaches with Application to Biomedical Research [PDF]
Stats, 2023 Nonprobability samples have been used frequently in practice including public health study, economics, education, and political polls. Naïve estimates based on nonprobability samples without any further adjustments may suffer from serious selection bias.
Sixia Chen +5 more
doaj +6 more sources
Descriptive inference using large, unrepresentative nonprobability samples: An introduction for ecologists. [PDF]
Ecology, 2023 AbstractBiodiversity monitoring usually involves drawing inferences about some variable of interest across a defined landscape from observations made at a sample of locations within that landscape. If the variable of interest differs between sampled and nonsampled locations, and no mitigating action is taken, then the sample is unrepresentative and ...
Boyd RJ, Stewart GB, Pescott OL.
europepmc +9 more sources
Analysis of combined probability and nonprobability samples: A simulation evaluation and application to a teen smoking behavior survey. [PDF]
Commun Stat Simul Comput, 2022 Xi W +6 more
europepmc +5 more sources
Integrating Probability and Nonprobability Samples for Survey Inference [PDF]
Journal of Survey Statistics and Methodology, 2020 Abstract Survey data collection costs have risen to a point where many survey researchers and polling companies are abandoning large, expensive probability-based samples in favor of less expensive nonprobability samples. The empirical literature suggests this strategy may be suboptimal for multiple reasons, among them that probability ...
Wiśniowski, Arkadiusz +3 more
exaly +5 more sources
We need to talk about nonprobability samples [PDF]
Trends in Ecology & Evolution, 2023 In most circumstances, probability sampling is the only way to ensure unbiased inference about population quantities where a complete census is not possible. As we enter the era of 'big data', however, nonprobability samples, whose sampling mechanisms are unknown, are undergoing a renaissance.
Boyd, Robin J. +2 more
+8 more sources
Combining Probability and Nonprobability Samples on an Aggregated Level
Journal of Official StatisticsProbability surveys are experiencing important drawbacks nowadays: costs are relatively high and participation rates are decreasing, which could yield less accurate estimates. Alternatively, nonprobability samples like administrative records are having a rise in popularity due to their convenience and low costs.
Sofía F. Villalobos Aliste +2 more
exaly +4 more sources
Doubly Robust Estimation of the Finite Population Distribution Function Using Nonprobability Samples
MathematicsThe growing use of nonprobability samples in survey statistics has motivated research on methodological adjustments that address the selection bias inherent in such samples.
Soonpil Kwon +2 more
doaj +4 more sources
Using Auxiliary Information in Probability Survey Data to Improve Pseudo-Weighting in Nonprobability Samples: A Copula Model Approach. [PDF]
J Surv Stat Methodol, 2023 Zhu T +4 more
europepmc +3 more sources
Fraud in Online Surveys: Evidence from a Nonprobability, Subpopulation Sample [PDF]
SSRN Electronic Journal, 2021 AbstractWe 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: over 81 percent of respondents seemed to misrepresent their credentials to gain access to the
Andrew M. Bell, Thomas Gift
openaire +3 more sources
Improved Doubly Robust Inference with Nonprobability Survey Samples Using Finite Mixture Models: Application to Health Monitoring SMS Survey Data [PDF]
MathematicsNonprobability sampling has been increasingly used in epidemiologic research, yet direct inference based on such samples is subject to selection bias. Current adjustment methods commonly rely on a reference probability-based survey sample that shares a ...
Ziying Yang +3 more
doaj +2 more sources