Results 181 to 190 of about 11,547 (203)

Are Nonprobability Surveys Fit for Purpose?

Public Opinion Quarterly, 2023
Abstract Social scientists employ survey methods to explore the contours of human behavior. Today there are more opportunities to collect survey data than at any time in recent history. Yet sample quality varies dramatically due in part to the availability of nonprobability samples (NPSs) from commercial survey organizations. While these
Jennifer Jerit, Jason Barabas
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   +4 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

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

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.
openaire   +1 more source

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

The Effect of Survey Mode and Sampling on Inferences about Political Attitudes and Behavior: Comparing the 2000 and 2004 ANES to Internet Surveys with Nonprobability Samples

Political Analysis, 2007
Since the inception of the American National Election Study (ANES) in the 1940s, data have been collected via face-to-face interviewing in the homes of members of area probability samples of American adults, the same gold-standard approach used by the U.S.
Neil Malhotra, Jon A. Krosnick
openaire   +1 more source

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
Maria del Mar Rueda, Sara Pasadas-del-Amo, Beatriz Cobo Rodríguez   +2 more
exaly  

Response Quality in Nonprobability and Probability-based Online Panels

Sociological Methods and Research, 2023
Carina Cornesse, Annelies G Blom
exaly