Results 21 to 30 of about 2,064 (154)
BackgroundRespondent-driven sampling (RDS) is a nonprobability sampling technique that allows the extrapolation of its outcome to the target population.
Mihir Bhatta +5 more
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Fraud in Online Surveys: Evidence from a Nonprobability, Subpopulation Sample
AbstractWe hired a well-known market research firm whose surveys have been published in leading political science journals, including JEPS. Based on a set of rigorous “screeners,” we detected what appears to be exceedingly high rates of identity falsification: over 81 percent of respondents seemed to misrepresent their credentials to gain access to the
Andrew M. Bell, Thomas Gift
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Is there an association between survey characteristics and representativeness? A meta-analysis
How to achieve survey representativeness is a controversially debated issue in the field of survey methodology. Common questions include whether probability-based samples produce more representative data than nonprobability samples, whether the response ...
Carina Cornesse, Michael Bosnjak
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Can Nonprobability Samples be Used for Social Science Research? A cautionary tale
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 +2 more
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This research review synthesized the evidence on the prevalence of posttraumatic stress disorder among emergency department personnel in Canada and the USA.
Diane I. N. Trudgill +2 more
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BackgroundEcological momentary assessments (EMAs) and digital wearables (DW) are commonly used remote monitoring technologies that capture real-time data in people’s natural environments.
Sherine El-Toukhy +3 more
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Topics in estimation for messy surveys: imperfect matching and nonprobability sampling
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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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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Comments on „Probability vs. Nonprobability Sampling: From the Birth of Survey Sampling to the Present Day” by Graham Kalton [PDF]
I would like to congratulate Professor Graham Kalton for his significant and inspiring article entitled as "Probability vs. Nonprobability Sampling: From the Birth of Survey Sampling to the Present Day". The article provides an elegant overview of the history of survey sampling, covering the purposive approaches that
openaire +2 more sources
Comparing data quality between online panel and intercept samples
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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