Nonprobability surveys - Open Access .click

Results 141 to 150 of about 2,064 (154)

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Selection Bias in Nonprobability Surveys: A Causal Inference Approach

2018
Many in the survey research community have expressed concern at the growing popularity of nonprobability surveys. The absence of random selection prompts justified concerns about self-selection producing biased results and means that traditional, design-based estimation is inappropriate. The Total Survey Error (TSE) paradigm’s designations of selection
openaire +2 more sources

Assessing selection bias in regression coefficients estimated from nonprobability samples with applications to genetics and demographic surveys

Annals of Applied Statistics, 2021
Philip Boonstra, Roderick Little, Rebecca Andridge +2 more
exaly

Enhancing estimation methods for integrating probability and nonprobability survey samples with machine‐learning techniques. An application to a Survey on the impact of the COVID‐19 pandemic in Spain

Biometrical Journal, 2023
Sara Pasadas-Del-Amo +2 more
exaly

When will Nonprobability Surveys Mirror Probability Surveys? Considering Types of Inference and Weighting Strategies as Criteria for Correspondence

International Journal of Public Opinion Research, 2016
Josh Pasek
exaly

Correction to: Are Nonprobability Surveys Fit for Purpose?

Public Opinion Quarterly
openaire +1 more source

Variance Estimation for Probability and Nonprobability Establishment Surveys: An Overview

2023
Jill Dever, Dan Liao
exaly

Estimation for Volunteer Panel Web Surveys Using Propensity Score Adjustment and Calibration Adjustment

Sociological Methods and Research, 2009
Sunghee Lee, Richard Valliant
exaly