Results 11 to 20 of about 40,878 (264)
Possible Uses of Nonprobability Sampling for the Social Sciences
, 2019 This paper compares the usability of data stemming from probability sampling with data stemming from nonprobability sampling. It develops six research scenarios that differ in their research goals and assumptions about the data generating process.
Andreas Quatember
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Data integration with nonprobability sample: Semiparametric model‐assisted approach [PDF]
Scandinavian Journal of StatisticsAbstract This paper introduces a novel semiparametric model‐assisted estimation method that integrates data from both probability and nonprobability samples, thereby facilitating robust and efficient inferences regarding finite population parameters.
Danhyang Lee, Sixia Chen
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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
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Survey Research Methods, 2022 In this paper we report the findings from our study which was undertaken to learn if the findings of Chang et al. (2009), Yeager et al. (2011), Erens et al. (2014), MacInnis et al. (2018) and Cornesse et al. (2020) would be replicated in Australia.
Paul John Lavrakas +3 more
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Understanding the Impact of General Vaccine Attitudes on the Intent for Early COVID-19 Vaccination
Vaccines, 2023 Despite relatively high rates of population spread, morbidity and mortality, the adoption of COVID-19 vaccines among the eligible populations was relatively slow.
John Boyle +4 more
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Methods to Counter Self-Selection Bias in Estimations of the Distribution Function and Quantiles
Mathematics, 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
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Mathematics, 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
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Hubungan antara self esteem dan positive religious coping dengan optimisme pada santri
Psikoislamika, 2022 : The purpose of this study was to determine the relationship between self-esteem and positive religious coping (PRC) with the optimism of the students of the Babussalam Islamic Boarding School, Madiun Regency.
Putri Hidayatul Ma'rufi +1 more
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Estimating General Parameters from Non-Probability Surveys Using Propensity Score Adjustment
Mathematics, 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
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Mathematics, 2020 Online surveys are increasingly common in social and health studies, as they provide fast and inexpensive results in comparison to traditional ones. However, these surveys often work with biased samples, as the data collection is often non-probabilistic ...
Luis Castro-Martín +2 more
doaj +1 more source