Results 31 to 40 of about 11,547 (203)
Doubly Robust Inference With Nonprobability Survey Samples [PDF]
Journal of the American Statistical Association, 2019 We establish a general framework for statistical inferences with non-probability survey samples when relevant auxiliary information is available from a probability survey sample. We develop a rigorous procedure for estimating the propensity scores for units in the non-probability sample, and construct doubly robust estimators for the finite population ...
Chen, Yilin, Li, Pengfei, Wu, Changbao
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PLoS ONE, 2020 Modern survey methods may be subject to non-observable bias, from various sources. Among online surveys, for example, selection bias is prevalent, due to the sampling mechanism commonly used, whereby participants self-select from a subgroup whose ...
Ramón Ferri-García +1 more
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Pseudo empirical likelihood inference for nonprobability survey samples
Canadian Journal of Statistics, 2022 AbstractIn this article, we first provide an overview of two major developments on complex survey data analysis: the empirical likelihood methods and statistical inference with nonprobability survey samples. We highlight the important research contributions to the field of survey sampling in general and the two topics in particular by Canadian survey ...
Yilin Chen +3 more
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Reconceptualizing Survey Representativeness for Evaluating and Using Nonprobability Samples [PDF]
Survey Practice, 2013 A question in recent times has been the quality of surveys using nonprobability samples. This paper approaches measurement accuracy by reconceptualizing representativeness. This approach can be used for all samples, probability or not. Current survey designs aim for representative samples with the implicit assumptions that representativeness belongs to
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Introduction to the design and analysis of complex survey data [PDF]
, 2017 We give a brief overview of common sampling designs used in a survey setting, and introduce the principal inferential paradigms under which data from complex surveys may be analyzed.
Skinner, Chris J., Wakefield, Jon
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Comparing and Improving the Accuracy of Nonprobability Samples: Profiling Australian Surveys
, 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
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Comparing data quality between online panel and intercept samples
Methodological Innovations, 2016 Although some research effort has been devoted to the comparison of probability- and nonprobability-based Web surveys, different types of nonprobability-based samples have not been thoroughly examined.
Mingnan Liu
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Differences in Perceptions of Health Information Between the Public and Health Care Professionals: Nonprobability Sampling Questionnaire Survey [PDF]
Journal of Medical Internet Research, 2019 In the new media age, the public searches for information both online and offline. Many studies have examined how the public reads and understands this information but very few investigate how people assess the quality of journalistic articles as opposed to information generated by health professionals.The aim of this study was to examine how public ...
Anat Gesser-Edelsburg +6 more
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Simple, Inexpensive Approach to Sampling for Pedestrian and Bicycle Surveys [PDF]
, 2014 Many transportation planners undertake local surveys for a better understanding of the levels of walking and cycling of residents in their city or town. This paper explores the challenges of designing a robust sampling strategy for such surveys. A review
Agrawal, Asha Weinstein +2 more
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Topics in estimation for messy surveys: imperfect matching and nonprobability sampling
, 2022 Two problems in estimation for "messy" surveys are addressed, both requiring the combination of survey data with other data sources. The first estimation problem involves the combination of survey data with auxiliary data, when the matching of the two sources is imperfect.
Huang, Chien-Min, author +4 more
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