Results 131 to 140 of about 2,064 (154)

A Review of Conceptual Approaches and Empirical Evidence on Probability and Nonprobability Sample Survey Research [PDF]

Journal of Survey Statistics and Methodology, 2020
Abstract 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 sampling as a function of the survey design, whereas inferences based on ...
Josh Pasek, Joseph Sakshaug, Stéphane Legleye   +2 more
exaly   +7 more sources

Weighting Nonprobability and Probability Sample Surveys in Describing Cancer Catchment Areas [PDF]

Cancer Epidemiology Biomarkers and Prevention, 2019
Abstract Background: The Population Health Assessment initiative by NCI sought to enhance cancer centers’ capacity to acquire, aggregate, and integrate data from multiple sources, as well as to plan, coordinate, and enhance catchment area analysis activities.
Deirdre Middleton, Lewis Berman, Yangyang Deng   +2 more
exaly   +3 more sources

Estimating response propensities in nonprobability surveys using machine learning weighted models

Mathematics and Computers in Simulation
Propensity 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 probability sample.
Maria Del Mar Rueda, Ramon Ferri-García, BEATRIZ Cobo Rodríguez   +2 more
exaly   +6 more sources

Evaluation of available techniques and their combinations to address selection bias in nonprobability surveys

AStA Advances in Statistical Analysis
Abstract New survey methodologies that often produce nonprobability samples have recently become very important. However, estimates from nonprobability samples can be subject to selection bias, which is primarily caused by the lack of coverage and the respondent’s ability to decide whether or not to participate in the survey.
Maria Del Mar Rueda, Ramon Ferri-García, BEATRIZ Cobo Rodríguez   +2 more
exaly   +3 more sources

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Probability, Probability-Based, and Nonprobability Surveys in Psychiatric Epidemiological Research

JAMA Psychiatry
Importance As mental health challenges continue to increase globally, using rigorous surveillance frameworks is essential for delivering nuanced population-level insights and informing evidence-based policy decisions.
Ronald Kessler
exaly   +3 more sources

Relations Between Variables and Trends Over Time in Rdd Telephone and Nonprobability Sample Internet Surveys

Journal of Survey Statistics and Methodology, 2020
Abstract Survey researchers today can choose between relatively higher-cost probability sample telephone surveys and lower-cost surveys of nonprobability samples of potential respondents who complete questionnaires via the internet. Previous studies generally indicated that the former yield more accurate distributions of variables, but ...
Josh Pasek, Krosnick Jon A
exaly   +2 more sources

A Review of Nonprobability Sampling Using Mobile Apps for Fishing Effort and Catch Surveys

Transactions of the American Fisheries Society, 2021
AbstractTechnology and computational advancements have caused us to rethink data collection and sampling methods that have been the standard for gathering information to guide policy decisions. The availability of new technology such as mobile apps has made using nonprobability samples more attractive because of the speed and low expense that are ...
J. Michael Brick, William R. Andrews, John Foster   +2 more
openaire   +1 more source

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. However, there are a number of drawbacks.
exaly   +2 more sources

Using Auxiliary Information in Probability Survey Data to Improve Pseudo-Weighting in Nonprobability Samples: A Copula Model Approach

Journal of Survey Statistics and Methodology, 2023
Abstract While probability sampling has been considered the gold standard of survey methods, nonprobability sampling is increasingly popular due to its convenience and low cost. However, nonprobability samples can lead to biased estimates due to the unknown nature of the underlying selection mechanism.
Tingyu Zhu, Laura J Gamble, Matthew Klapman, Lan Xue, Virginia M Lesser   +4 more
openaire   +2 more sources

The effects of survey mode and sampling in Belgian election studies: a comparison of a national probability face-to-face survey and a nonprobability Internet survey

Acta Politica, 2018
National probability election surveys are more and more abandoned. Decreasing response rates and the escalating costs of face-to-face and telephone interviews have strengthened election scholars’ reliance on nonprobability internet samples to conduct election surveys online.
Ruth Dassonneville, André Blais, Kris Deschouwer   +2 more
exaly   +3 more sources