Results 11 to 20 of about 4,247,563 (222)

Weight smoothing for nonprobability surveys [PDF]

TEST, 2021
Adjustment techniques to mitigate selection bias in nonprobability samples often involve modelling the propensity to participate in the nonprobability sample along with inverse propensity weighting. It is well known that procedures for estimating weights
R. Ferri-García, J. Beaumont, Keven Bosa, Joanne Charlebois, Kenneth Chu   +4 more
semanticscholar   +4 more sources

Fraud in Online Surveys: Evidence from a Nonprobability, Subpopulation Sample – ADDENDUM

Journal of Experimental Political Science, 2022
© The Author(s), 2022. Published by Cambridge University Press on behalf of The Experimental Research Section of the American Political Science Association.
Andrew M. Bell, Thomas Gift
semanticscholar   +2 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.
B. Nandram, J. Choi, Yang Liu
semanticscholar   +3 more sources

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

Cancer Epidemiology, Biomarkers & Prevention, 2019
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 ...
Ronaldo Iachan, Lew Berman, Tonja M. Kyle, Kelly Martin, Yangyang Deng, Davia Moyse, Deirdre Middleton, Audie A Atienza   +7 more
semanticscholar   +3 more sources

Probability vs. Nonprobability Sampling: From the Birth of Survey Sampling to the Present Day

Statistics in Transition new series, 2023
At the beginning of the 20th century, there was an active debate about random selection of units versus purposive selection of groups of units for survey samples.
G. Kalton
semanticscholar   +2 more sources

ASSESSING SELECTION BIAS IN REGRESSION COEFFICIENTS ESTIMATED FROM NONPROBABILITY SAMPLES WITH APPLICATIONS TO GENETICS AND DEMOGRAPHIC SURVEYS.

The Annals of Applied Statistics, 2021
Selection bias is a serious potential problem for inference about relationships of scientific interest based on samples without well-defined probability sampling mechanisms. Motivated by the potential for selection bias in: (a) estimated relationships of
Brady T. West, R. Little, R. Andridge, P. Boonstra, E. Ware, Anita Pandit, Fernanda Alvarado-Leiton   +6 more
semanticscholar   +6 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, A. Blom, David Dutwin, J. Krosnick, E. D. Leeuw, S. Legleye, Josh Pasek, D. Pennay, Benjamin Phillips, J. Sakshaug, Bella Struminskaya, Alexander Wenz   +11 more
semanticscholar   +5 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.
R. Ferri-García, J. L. Rueda-Sánchez, María del Mar Rueda, Beatriz Cobo   +3 more
semanticscholar   +6 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, Sakshaug, Joseph, Perez Ruiz, Diego, Blom, Annelies G.   +3 more
openaire   +2 more sources

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, Sergio Martínez-Puertas, Luis Castro-Martín   +2 more
doaj   +1 more source