Results 21 to 30 of about 11,547 (203)

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

Integration of Nonprobability and Probability Samples via Survey Weights

open access: yesInternational Journal of Statistics and Probability, 2021
Probability sample encounters the problems of increasing cost and nonresponse. The cost has rapidly been increasing in executing a large probability sample survey, and, for some surveys, response rate can be below the 10 percent level. Therefore, statisticians seek some alternative methods.
Balgobin Nandram, Jai Won Choi, Yang Liu
openaire   +2 more sources

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

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

Is there an association between survey characteristics and representativeness? A meta-analysis

open access: yesSurvey Research Methods, 2018
How to achieve survey representativeness is a controversially debated issue in the field of survey methodology. Common questions include whether probability-based samples produce more representative data than nonprobability samples, whether the response ...
Carina Cornesse, Michael Bosnjak
doaj   +1 more source

Prevalent posttraumatic stress disorder among emergency department personnel: rapid systematic review

open access: yesHumanities & Social Sciences Communications, 2020
This research review synthesized the evidence on the prevalence of posttraumatic stress disorder among emergency department personnel in Canada and the USA.
Diane I. N. Trudgill   +2 more
doaj   +1 more source

Can Nonprobability Samples be Used for Social Science Research? A cautionary tale

open access: yesSurvey Research Methods, 2019
Survey researchers and social scientists are trying to understand the appropriate use of nonprobability samples as substitutes for probability samples in social science research.
Elizabeth S. Zack   +2 more
doaj   +1 more source

Decision Trade-Offs in Ecological Momentary Assessments and Digital Wearables Uptake: Protocol for a Discrete Choice Experiment

open access: yesJMIR Research Protocols, 2023
BackgroundEcological momentary assessments (EMAs) and digital wearables (DW) are commonly used remote monitoring technologies that capture real-time data in people’s natural environments.
Sherine El-Toukhy   +3 more
doaj   +1 more source

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