Results 11 to 20 of about 1,222,703 (195)

Weight smoothing for nonprobability surveys [PDF]

TEST, 2021
AbstractAdjustment 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 are effective if the covariates selected in the propensity model are related to both the ...
Ramón Ferri-García, Jean-François Beaumont, Keven Bosa, Joanne Charlebois, Kenneth Chu   +4 more
openaire   +5 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 range of post-survey adjustment approaches (calibration or matching methods) to reduce bias, and ...
Kocar, Sebastian, Baffour, Bernard
openaire   +5 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
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 ...
Cornesse, Carina, Blom, Annelies G., Dutwin, David, Krosnick, Jon A., Leeuw, Edith D. de, Legleye, Stéphane, Pasek, Josh, Pennay, Darren, Phillips, Benjamin, Sakshaug, Joseph W., Struminskaya, Bella, Wenz, Alexander   +11 more
openaire   +8 more sources

Selection Bias in Nonprobability Surveys: A Causal Inference Approach [PDF]

, 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
Mercer, Andrew William
openaire   +3 more sources

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

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. Neyman’s (1934) paper tilted the balance strongly towards varieties of probability sampling combined with design-based inference, and most national ...
Graham Kalton, Kalton, Graham
openaire   +2 more sources

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

Can Nonprobability Samples be Used for Social Science Research? A cautionary tale

Survey Research Methods, 2019
Survey researchers and social scientists are trying to understand the appropriate use of nonprobability samples as substitutes for probability samples in social science research.
Elizabeth S. Zack, John Kennedy, J. Scott Long   +2 more
doaj   +2 more sources

Improving the reliability of a nonprobability web survey: application to measuring gender pay gap

International Journal of Social Research Methodology
Nonprobability web surveys suffer from selection and coverage biases and are generally not representative of the target population. To carry out statistical modelling in a nonprobability web survey, we explore different methods of statistical adjustments to compensate for biases through the use of a probability-based reference sample. We also show that
Huang, Yinxuan, Shlomo, Natalie
openaire   +3 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.
Dassonneville, Ruth, Blais, André, Marc, Hooghe, Deschouwer, Kris   +3 more
openaire   +3 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