Results 31 to 40 of about 4,578,298 (196)

Integrating Probability and Nonprobability Samples for Survey Inference [PDF]

open access: yesJournal 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; id_orcid 0000-0002-7567-3600   +3 more
openaire   +3 more sources

On the Use of Gradient Boosting Methods to Improve the Estimation with Data Obtained with Self-Selection Procedures

open access: yesMathematics, 2021
In the last years, web surveys have established themselves as one of the main methods in empirical research. However, the effect of coverage and selection bias in such surveys has undercut their utility for statistical inference in finite populations. To
Luis Castro-Martín   +3 more
doaj   +1 more source

Methods to Counter Self-Selection Bias in Estimations of the Distribution Function and Quantiles

open access: yesMathematics, 2022
Many surveys are performed using non-probability methods such as web surveys, social networks surveys, or opt-in panels. The estimates made from these data sources are usually biased and must be adjusted to make them representative of the target ...
María del Mar Rueda   +2 more
doaj   +1 more source

A two-step approach to simultaneously correct for selection and misclassification bias in nonprobability samples from hard-to-reach populations. [PDF]

open access: yesAm J Epidemiol
Researchers studying hard-to-reach or minority populations are increasingly implementing nonprobability sampling strategies that are often prone to selection bias.
Dharma C   +6 more
europepmc   +2 more sources

Fraud in Online Surveys: Evidence from a Nonprobability, Subpopulation Sample

open access: yesJournal of Experimental Political Science, 2022
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 ...
Andrew M. Bell, Thomas Gift
semanticscholar   +1 more source

Estimating General Parameters from Non-Probability Surveys Using Propensity Score Adjustment

open access: yesMathematics, 2020
This study introduces a general framework on inference for a general parameter using nonprobability survey data when a probability sample with auxiliary variables, common to both samples, is available.
Luis Castro-Martín   +2 more
doaj   +1 more source

Effective Sampling From Social Media Sites and Search Engines for Web Surveys

open access: yes, 2016
With proliferation of web surveys, the relative affordability of recruitment, and increasing nonresponse in other survey modes, nonprobability methods are increasingly being considered by researchers and government offices alike. However, research needs
Brian Hunscher   +3 more
core   +2 more sources

Harmonizing Single-Question Instruments for Latent Constructs With Equating Using Political Interest as an Example.

open access: yesSurvey Research Methods, 2022
Many latent constructs in the social sciences, such as political interest, are measured with single-question instruments. Furthermore, survey programs often differ in the wording and response format of those instruments.
Ranjit Konrad Singh
doaj   +1 more source

Blending Probability and Nonprobability Samples with Applications to a Survey of Military Caregivers [PDF]

open access: yesJournal of Survey Statistics and Methodology, 2020
AbstractProbability samples are the preferred method for providing inferences that are generalizable to a larger population. However, in many cases, this approach is unlikely to yield a sample size large enough to produce precise inferences. Our goal here is to improve the efficiency of inferences from a probability sample by combining (or blending) it
Michael W Robbins   +2 more
openaire   +1 more source

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