Weight smoothing for nonprobability surveys [PDF]
Test, 2021 This study was partially supported by Ministerio de Ciencia e Innovacion, Spain [grant number PID2019-106861RB-I00/AEI/10.13039/501100011033], the IMAG-Maria de Maeztu grant [grant number CEX2020-001105-M/AEI/10.13039/501100011033] and, in terms of the ...
Ramon Ferri-García +1 more
exaly +7 more sources
Nonprobability Web Surveys to Measure Sexual Behaviors and Attitudes in the General Population: A Comparison With a Probability Sample Interview Survey [PDF]
Journal of Medical Internet Research, 2014 BackgroundNonprobability Web surveys using volunteer panels can provide a relatively cheap and quick alternative to traditional health and epidemiological surveys.
Erens, Bob +14 more
doaj +8 more sources
Estimating response propensities in nonprobability surveys using machine learning weighted models [PDF]
Mathematics and Computers in SimulationPropensity 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 ...
Ramon Ferri-García +2 more
exaly +8 more sources
A Review of Conceptual Approaches and Empirical Evidence on Probability and Nonprobability Sample Survey Research [PDF]
Journal of Survey Statistics and Methodology, 2020 There is an ongoing debate in the survey research literature about whether and when probability and nonprobability sample surveys produce accurate estimates of a larger population. Statistical theory provides a justification for confidence in probability
Carina Cornesse +2 more
exaly +10 more sources
Inference from Non-Probability Surveys with Statistical Matching and Propensity Score Adjustment Using Modern Prediction Techniques [PDF]
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 +5 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.
J.J. Forster, Forster, J.J.
exaly +4 more sources
Comparing and Improving the Accuracy of Nonprobability Samples: Profiling Australian Surveys [PDF]
, 2023 There has been a great deal of debate in the survey research community about the accuracy of nonprobability sample surveys. This work aims to provide empirical evidence about the accuracy of nonprobability samples and to investigate the performance of a ...
Baffour, Bernard, Kocar, Sebastian
core +5 more sources
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
doaj +2 more sources
Evaluating the accuracy of survey data: a case study of COVID-19 vaccination rates in Germany [PDF]
BMC Medical Research MethodologyBackground Surveys are an important source of timely and comprehensive population health data and play a crucial role in public health research and policymaking, as shown during the COVID-19 pandemic.
Karolina von Glasenapp
doaj +2 more sources
Topics in estimation for messy surveys: imperfect matching and nonprobability sampling [PDF]
, 2022 2022 Summer.Includes bibliographical references.Two problems in estimation for "messy" surveys are addressed, both requiring the combination of survey data with other data sources. The first estimation problem involves the combination of survey data with
Wang, Haonan, committee member +4 more
core +2 more sources