Results 11 to 20 of about 2,064 (154)

Click, collect, compare: Evaluating a nonprobability web survey for family demography [PDF]

Demographic Research
BACKGROUND: High-quality population data are expensive to collect and limited in substantive scope, constraining timely and innovative research. OBJECTIVE: We evaluate nonprobability data from the KINMATRIX survey by comparing it with external data on ...
Leonie Diffené, Thomas Leopold, Zafer Buyukkececi, Marcel Raab   +3 more
doaj   +2 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, Burkill, Sarah, Couper, Mick P, Conrad, Frederick, Clifton, Soazig, Tanton, Clare, Phelps, Andrew, Datta, Jessica, Mercer, Catherine H, Sonnenberg, Pam, Prah, Philip, Mitchell, Kirstin R, Wellings, Kaye, Johnson, Anne M, Copas, Andrew J   +14 more
doaj   +4 more sources

Correction for Participation Bias in Nonprobability Samples Using Multiple Reference Surveys. [PDF]

Stat Med
ABSTRACT Health researchers are increasingly adopting nonprobability sampling strategies in survey studies. However, the participation mechanism in such samples is unknown and estimated target parameters and exposure‐outcome associations obtained from nonprobability samples can be biased.
Landsman V, Wang L, Carrillo-Garcia I, Mitani AA, Smith PM, Graubard BI, Bui T, Carnide N.   +7 more
europepmc   +3 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; id_orcid 0000-0002-7567-3600, Sakshaug, Joseph, Perez Ruiz, Diego; id_orcid 0000-0002-9969-6065, Blom, Annelies G.   +3 more
openaire   +3 more sources

Integration of Nonprobability and Probability Samples via Survey Weights

International 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

Recent Advances in Probability-Based and Nonprobability Survey Research

Journal of Survey Statistics and Methodology, 2020
At the turn of the decade, this special issue is a symbol of transformation in the survey world that slowly started in the 2000s and that is likely to continue into the future. At the heart of this transformation lies an age-old academic debate on the merits and costs of probability sampling methods for survey research.
Blom, Annelies G., Cornesse, Carina, Sakshaug, Joseph W., Wenz, Alexander   +3 more
openaire   +2 more sources

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

Journal 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, Bonnie Ghosh-Dastidar, Rajeev Ramchand   +2 more
openaire   +1 more source

Comparing and Improving the Accuracy of Nonprobability Samples: Profiling Australian Surveys

, 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 range of post-survey adjustment approaches (calibration or matching methods) to reduce bias, and ...
Kocar, Sebastian, Baffour, Bernard
openaire   +4 more sources

HIV Surveillance and Research for Migrant Populations: Protocol Integrating Respondent-Driven Sampling, Case Finding, and Medicolegal Services for Venezuelans Living in Colombia

JMIR Research Protocols, 2022
BackgroundEpidemiologic research among migrant populations is limited by logistical, methodological, and ethical challenges, but it is necessary for informing public health and humanitarian programming.
Andrea L Wirtz, Kathleen R Page, Megan Stevenson, José Rafael Guillén, Jennifer Ortíz, Jhon Jairo López, Jhon Fredy Ramírez, Cindy Quijano, Alejandra Vela, Yessenia Moreno, Francisco Rigual, James Case, Avi J Hakim, Wolfgang Hladik, Paul B Spiegel   +14 more
doaj   +1 more source

A Demonstration of Propensity-Score Weighting to Adjust a Social Media Nonprobability Sample Survey of Political Attitudes. [PDF]

Public Opin Q
Abstract Interest in using nonprobability online samples continues to grow despite concerns about selection bias. Many methods exist for adjusting nonprobability data so it may yield generalizable inferences. Here we investigate whether a propensity score weighting method can balance differences between a probability sample and a ...
Pollard MS, Robbins MW, Griswold M.
europepmc   +2 more sources